Job Description Job Description Senior Autonomy Engineer About the Company This aerospace startup is reshaping how the world connects from above. The team is developing solar-powered, long-endurance UAVs that operate at the edge of the atmosphere, delivering next-generation, low-latency communication capabilities to areas traditional satellite and ground-based networks cannot serve well. The vision is to redefine global connectivity for everything from underserved regions and disaster response to dynamic, mission-critical coverage. Backed by top-tier investors and led by a tight team of operators and engineers from the most respected names in aerospace, defense, and telecom, this is a rare ground-floor opportunity. They are lean, builder-led, and moving fast toward a near-term flight demonstration. This team has the technical depth, the network, and the timing to leap past incumbents and define the category. We prefer this person to be located in the Bay Area and onsite at headquarters, but for the right candidate we may consider a hybrid arrangement. About the Role This team is looking for a Senior Autonomy Engineer to own the design, architecture, and development of the entire autonomy software stack across the vehicle, payload, and ground infrastructure. As a true founding-team engineer, this person will be a world-class individual contributor and architect, with full latitude to shape how the aircraft flies, recovers, and eventually coordinates as a fleet. This is not a maintenance seat. It is the chance to define the autonomy platform from the ground up and watch your code fly. What You'll Own End-to-end autonomy architecture across vehicle, payload, and ground infrastructure for a long-endurance, high-altitude aircraft Mission management and behavioral executive: design the high-level state machines, behavior trees, and contingency logic that govern mission phases, abort behaviors, fault response, and payload coordination. Path and trajectory planning: build the algorithms for auto-takeoff, landing, dynamic waypoint navigation, geofencing, and end-to-end autonomous routing. Scale toward cooperative and non-cooperative avoidance and energy-aware planning that accounts for battery state of charge, expected solar harvest, and predicted spatial wind fields. Health, status, and fault detection: design robust fault detection and isolation that distinguishes healthy from faulty sensors and actuators, monitors system health, and triggers safe contingency behaviors on board in real time. Fleet management and simulation: build the centralized software that coordinates multiple vehicles across multiple sites, and stand up the cloud infrastructure for large-scale distributed simulation and log analysis. Infrastructure and testing: design and optimize CI/CD pipelines for autonomy software, drive SIL and HIL validation, and own flight readiness for early prototypes. What We're Looking For Deep, hands-on experience with path planning algorithms, finite state machines, and behavior trees. You have shipped autonomy that has flown or driven in the real world, not just in simulation. Strong production-level software engineering skill in a typed language. Heavy preference for Rust. C++ also strongly considered for the right profile. Broad systems architecture instincts. You are comfortable architecting complex, scalable software that bridges embedded vehicle software, ground systems, and cloud-based fleet managers. Embedded software experience on complex hardware platforms. Flying vehicles preferred, but robotics, autonomous ground systems, and other high-stakes hardware count. Ability to move fast and build in ambiguity. You reach for first principles rather than industry standards when the standards do not yet exist for the problem. Strong physics or GNC-adjacent intuition is a plus. The ability to look at flight logs and reason not only about whether mission management responded correctly, but why the aircraft is behaving the way it is, makes you stand out. A strong problem-solving mindset with a bias for action and excellent collaboration instincts. Excitement to be part of an ambitious, technically rigorous founding team, and a desire to do the best work of your career here. Benefits Why You'll Love Working Here Join a powerhouse team of brilliant builders Collaborate with a tight-knit crew of deeply technical operators and engineers from the most respected programs in aerospace, defense, and telecom. You will work alongside founders and leaders with a track record of shipping at the highest bar. Competitive startup salary Be paid well to do the most energizing work of your career. Ground-floor equity Own meaningful upside from day one. Shape the trajectory of the company and participate fully in the value you help create. Excellent health insurance Strong medical coverage so you can stay healthy while pushing the boundaries of what is possible. Dog-friendly office with Bay views Bring your pup and enjoy a beautiful workspace with panoramic water views that spark creativity and focus. Work on a uniquely hard problem Architect autonomy for an aircraft that lives at the edge of the atmosphere, where the wind is often faster than the vehicle and every kilogram, watt, and line of code matters. This is the kind of problem that nerd-snipes the best autonomy engineers in the world. About AdAstra AdAstra Talent Advisors is a headhunting and talent advising firm focused on the Climate, Space, and Defense sectors of Hard Tech. We specialize in pairing highly technical and executive talent with some of the world's leading Hard Tech startups. At AdAstra, we catalyze the innovations that future generations depend on by placing the right people in the right seats. Our dedicated work enables inconceivable technology from Earth, to the stars. And it's all because of trailblazing talent like you - those driven to do what's never been done before. We care about long term relationships with both candidates and companies. Even if the role we initially discuss isn't a perfect fit, it's likely we'll have something relevant to share with you in the future. Join us on our journey by following along via LinkedIn! CEO, Seyka Mejeur LinkedIn profile CTO / COO, Brian Mejeur LinkedIn profile AdAstra Talent Advisors LinkedIn profile AdAstra Website
07/28/2026
Full time
Job Description Job Description Senior Autonomy Engineer About the Company This aerospace startup is reshaping how the world connects from above. The team is developing solar-powered, long-endurance UAVs that operate at the edge of the atmosphere, delivering next-generation, low-latency communication capabilities to areas traditional satellite and ground-based networks cannot serve well. The vision is to redefine global connectivity for everything from underserved regions and disaster response to dynamic, mission-critical coverage. Backed by top-tier investors and led by a tight team of operators and engineers from the most respected names in aerospace, defense, and telecom, this is a rare ground-floor opportunity. They are lean, builder-led, and moving fast toward a near-term flight demonstration. This team has the technical depth, the network, and the timing to leap past incumbents and define the category. We prefer this person to be located in the Bay Area and onsite at headquarters, but for the right candidate we may consider a hybrid arrangement. About the Role This team is looking for a Senior Autonomy Engineer to own the design, architecture, and development of the entire autonomy software stack across the vehicle, payload, and ground infrastructure. As a true founding-team engineer, this person will be a world-class individual contributor and architect, with full latitude to shape how the aircraft flies, recovers, and eventually coordinates as a fleet. This is not a maintenance seat. It is the chance to define the autonomy platform from the ground up and watch your code fly. What You'll Own End-to-end autonomy architecture across vehicle, payload, and ground infrastructure for a long-endurance, high-altitude aircraft Mission management and behavioral executive: design the high-level state machines, behavior trees, and contingency logic that govern mission phases, abort behaviors, fault response, and payload coordination. Path and trajectory planning: build the algorithms for auto-takeoff, landing, dynamic waypoint navigation, geofencing, and end-to-end autonomous routing. Scale toward cooperative and non-cooperative avoidance and energy-aware planning that accounts for battery state of charge, expected solar harvest, and predicted spatial wind fields. Health, status, and fault detection: design robust fault detection and isolation that distinguishes healthy from faulty sensors and actuators, monitors system health, and triggers safe contingency behaviors on board in real time. Fleet management and simulation: build the centralized software that coordinates multiple vehicles across multiple sites, and stand up the cloud infrastructure for large-scale distributed simulation and log analysis. Infrastructure and testing: design and optimize CI/CD pipelines for autonomy software, drive SIL and HIL validation, and own flight readiness for early prototypes. What We're Looking For Deep, hands-on experience with path planning algorithms, finite state machines, and behavior trees. You have shipped autonomy that has flown or driven in the real world, not just in simulation. Strong production-level software engineering skill in a typed language. Heavy preference for Rust. C++ also strongly considered for the right profile. Broad systems architecture instincts. You are comfortable architecting complex, scalable software that bridges embedded vehicle software, ground systems, and cloud-based fleet managers. Embedded software experience on complex hardware platforms. Flying vehicles preferred, but robotics, autonomous ground systems, and other high-stakes hardware count. Ability to move fast and build in ambiguity. You reach for first principles rather than industry standards when the standards do not yet exist for the problem. Strong physics or GNC-adjacent intuition is a plus. The ability to look at flight logs and reason not only about whether mission management responded correctly, but why the aircraft is behaving the way it is, makes you stand out. A strong problem-solving mindset with a bias for action and excellent collaboration instincts. Excitement to be part of an ambitious, technically rigorous founding team, and a desire to do the best work of your career here. Benefits Why You'll Love Working Here Join a powerhouse team of brilliant builders Collaborate with a tight-knit crew of deeply technical operators and engineers from the most respected programs in aerospace, defense, and telecom. You will work alongside founders and leaders with a track record of shipping at the highest bar. Competitive startup salary Be paid well to do the most energizing work of your career. Ground-floor equity Own meaningful upside from day one. Shape the trajectory of the company and participate fully in the value you help create. Excellent health insurance Strong medical coverage so you can stay healthy while pushing the boundaries of what is possible. Dog-friendly office with Bay views Bring your pup and enjoy a beautiful workspace with panoramic water views that spark creativity and focus. Work on a uniquely hard problem Architect autonomy for an aircraft that lives at the edge of the atmosphere, where the wind is often faster than the vehicle and every kilogram, watt, and line of code matters. This is the kind of problem that nerd-snipes the best autonomy engineers in the world. About AdAstra AdAstra Talent Advisors is a headhunting and talent advising firm focused on the Climate, Space, and Defense sectors of Hard Tech. We specialize in pairing highly technical and executive talent with some of the world's leading Hard Tech startups. At AdAstra, we catalyze the innovations that future generations depend on by placing the right people in the right seats. Our dedicated work enables inconceivable technology from Earth, to the stars. And it's all because of trailblazing talent like you - those driven to do what's never been done before. We care about long term relationships with both candidates and companies. Even if the role we initially discuss isn't a perfect fit, it's likely we'll have something relevant to share with you in the future. Join us on our journey by following along via LinkedIn! CEO, Seyka Mejeur LinkedIn profile CTO / COO, Brian Mejeur LinkedIn profile AdAstra Talent Advisors LinkedIn profile AdAstra Website
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Software Engineering Manager (SW Release Manager for Type-1 Radio Platform) Job Code: 38296 Job Location: Rochester, NY Job Schedule: 9/80: Employees work 9 out of every 14 days- totaling 80 hours worked- and have every other Friday off Job Description: We are looking for a strong leader to take over as the release manager for one of our flagship multi-channel Type-1 radio platforms. Responsible as cost account manager for >$4M of scope per year. Coordinates with 12+ engineering and test teams to ensure overall release schedule is met. Additionally, the release manager coordinates with the factory and the hardware team to support any changes needed for parts obsolescence and failures in the factory that impact production. Supports estimates for both programs and IRAD projects related to the radio. Will directly supervise >10 SW engineers and is responsible for their career development. Essential Functions: Lead one or more scrum teams to deliver new features within agreed upon schedule and budget Coordinates between other teams to ensure overall project schedule is met within quality expectations. Supervisor for 10+ SW engineers Supports factory production and HW obsolescence issues to ensure radio production can be maintained Must be able to obtain a US Secret clearance Qualifications: Bachelor's Degree with a minimum of 12 years of prior related experience. Graduate Degree with a minimum of 10 years of prior related experience. In lieu of a degree, minimum of 16 years of prior related experience. Preferred Additional Skills: Experience in an Agile Scrum development environment Embedded SW development experience In compliance with pay transparency requirements, the salary range for this role in NY State is $140,500 to $261,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
07/28/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Software Engineering Manager (SW Release Manager for Type-1 Radio Platform) Job Code: 38296 Job Location: Rochester, NY Job Schedule: 9/80: Employees work 9 out of every 14 days- totaling 80 hours worked- and have every other Friday off Job Description: We are looking for a strong leader to take over as the release manager for one of our flagship multi-channel Type-1 radio platforms. Responsible as cost account manager for >$4M of scope per year. Coordinates with 12+ engineering and test teams to ensure overall release schedule is met. Additionally, the release manager coordinates with the factory and the hardware team to support any changes needed for parts obsolescence and failures in the factory that impact production. Supports estimates for both programs and IRAD projects related to the radio. Will directly supervise >10 SW engineers and is responsible for their career development. Essential Functions: Lead one or more scrum teams to deliver new features within agreed upon schedule and budget Coordinates between other teams to ensure overall project schedule is met within quality expectations. Supervisor for 10+ SW engineers Supports factory production and HW obsolescence issues to ensure radio production can be maintained Must be able to obtain a US Secret clearance Qualifications: Bachelor's Degree with a minimum of 12 years of prior related experience. Graduate Degree with a minimum of 10 years of prior related experience. In lieu of a degree, minimum of 16 years of prior related experience. Preferred Additional Skills: Experience in an Agile Scrum development environment Embedded SW development experience In compliance with pay transparency requirements, the salary range for this role in NY State is $140,500 to $261,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
Senior Gas Fleet Overhaul Project Manager location: VINEYARD, UT, US, 84042 Company: PacifiCorp POWER YOUR GREATNESS PacifiCorp is seeking customer-centric candidates to grow and sustain our commitment to a culture of customer service excellence, environmental sustainability, inclusion and belonging. General Purpose Under general supervision of the Managing Director to oversee multiple projects. In addition to having responsibility for all aspects of the project over the entire project life (initiate, plan, execute, control, close), is responsible for assembling project teams, assigning individual responsibilities, identifying appropriate resources needed, and developing schedules to ensure timely completion of assigned projects. Must be familiar with system scope and project objectives, as well as the role and function of each team member to effectively coordinate the activities of the team. Responsibilities The successful candidate will be accountable for all project management responsibilities in the delivery of multiple medium and large scale capital projects. Responsibilities include but are not limited to the development of detailed project plans, project schedules, design, financials, and project permitting. Responsibilities also include assembling and managing multifunctional projects across business platform. Manage the planning, design, and construction of multiple medium and large scale capital projects (e.g., modifications/additions to facilities and infrastructure) under general supervision. Manage the planning, design, and implementation of planned overhaul projects and large scale O&M projects. Establish, track, and control project cost, scope, schedule, and risk to deliver assigned projects within their approved scope, budget, and schedule. Plan, schedule, and execute all phases of projects in accordance with project management processes, policies, guidelines, and corporate governance. Develop detailed project plans and ensure project scopes, team responsibilities, milestone dates, and the procurement strategy are clearly stated for all assigned projects. Develop project schedules in accordance with project objectives. Coordinate the development of conceptual and detailed designs. Interface with vendors/contractors throughout the project life cycle. Establish responsibility for and manage the physical construction. Provide project progress reports to management and other stakeholders in accordance with an approved communication plan. Provide quality project cost forecasting over the project. Coordinate with procurement to solicit external materials and services as required for project deliverables. Manage the bid process and contracts for external engineering and project execution. Negotiate with vendors and contractors regarding work scope changes and ensure that all contract commitments are completed on time per the scope of work and technical specifications. Manage construction management team activities in conjunction with field operations. Interface with plant manager to gain necessary approvals and manage project risks. Requirements Requirements for this position include the following: Bachelor's Degree in Engineering, Construction Management or the equivalent combination of education and experience Five years years directly related professional experience. Experience in project scheduling, cost controls, tracking and reporting methodologies Knowledge of financial principles to quantify costs and benefits of projects and to track and maintain project budgets Experience in the application of Project Management Institute project management techniques or equivalent Experience in managing vendors and contractors regarding work scope changes to ensure that all contract commitments are completed on time per applicable specifications. Excellent technical writing and verbal communication skills Demonstrated business management skills including consulting, customer service, and business acumen Interpersonal and communication skills to facilitate team efforts, provide guidance and direction to team members, and communicate project objectives, parameters, status, and outcomes to stakeholders Ability to analyze information, form conclusions and provide meaningful solutions. Demonstrated skill in motivating and influencing others as well as skills and experience in team building, and conflict management Proficient in using Microsoft Office Suite including Teams, Word, and Excel Preferences Preference will be given to candidates who have the following: Seven years related professional experience. Project Management Professional certification by the Project Management Institute Understanding of environmental regulations, National Environmental Protection Act, environmental impact statement, environmental assessment, State Historical Preservation Office, Army Corp of Engineers, etc. Knowledge of the Company's business, policies, procedures, and practices Experience in the electric utility industry and applicable federal, state and local regulations Working knowledge of SAP in cost tracking and forecasting Working knowledge of Primavera scheduling or other project management software Experience in piping and boiler code welding. Benefits At PacifiCorp, we understand that living a healthy lifestyle isn't just about your physical health - your mental, financial, and social wellbeing also play an important role. That's why we offer a wide range of benefits designed to help you live a more balanced lifestyle. Our benefits include: Medical, dental, and vision insurance 401k with match fixed contributions, including a Roth and saving option. For union employees, matching contributions vary by union. For nonunion, PacifiCorp makes a fixed contribution equal to 4% of your eligible pay each year for new hires. In addition, PacifiCorp matches 100% of the first 6% you contribute. Life insurance Additional voluntary benefits, including pet insurance Tuition Assistance Mass Transit Pass for employees in our Portland and Salt Lake City Offices. Work Life Balance Generous Paid Time Off (PTO) - Time off varies by employee type (Union or Non-Union) Paid short-term disability leave and long-term disability insurance Paid Parental Leave Paid Bereavement Leave Employee Assistance Program supporting mental and emotional wellbeing For more information, please visit: Additional Information Req Id: 114804 Company Code: PACIFICORP Primary Location: VINEYARD 100% ONSITE Department: Power Supply Schedule: Full Time Personnel Subarea: Exempt Hiring Range: 117,400 - 161,370 Employees must be able to perform the essential functions of the position with or without an accommodation. PacifiCorp is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, medical condition, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law. Unless otherwise required by law, all offers of employment are contingent upon the successful completion of a background check and drug screening including for marijuana. While marijuana is legal in several states, including Oregon, a positive test for positions in Oregon may disqualify a candidate. The company complies with the laws of Washington and California and only obtains and considers positive tests for marijuana in safety-sensitive positions or those covered by U.S. Department of Transportation regulations. Nearest Major Market: Salt Lake City Career Segment: Project Manager, Technical Writer, Procurement, HVAC, Testing, Technology, Operations Compensation details: 70 Yearly Salary PI69f3de5843c6-1992
07/28/2026
Full time
Senior Gas Fleet Overhaul Project Manager location: VINEYARD, UT, US, 84042 Company: PacifiCorp POWER YOUR GREATNESS PacifiCorp is seeking customer-centric candidates to grow and sustain our commitment to a culture of customer service excellence, environmental sustainability, inclusion and belonging. General Purpose Under general supervision of the Managing Director to oversee multiple projects. In addition to having responsibility for all aspects of the project over the entire project life (initiate, plan, execute, control, close), is responsible for assembling project teams, assigning individual responsibilities, identifying appropriate resources needed, and developing schedules to ensure timely completion of assigned projects. Must be familiar with system scope and project objectives, as well as the role and function of each team member to effectively coordinate the activities of the team. Responsibilities The successful candidate will be accountable for all project management responsibilities in the delivery of multiple medium and large scale capital projects. Responsibilities include but are not limited to the development of detailed project plans, project schedules, design, financials, and project permitting. Responsibilities also include assembling and managing multifunctional projects across business platform. Manage the planning, design, and construction of multiple medium and large scale capital projects (e.g., modifications/additions to facilities and infrastructure) under general supervision. Manage the planning, design, and implementation of planned overhaul projects and large scale O&M projects. Establish, track, and control project cost, scope, schedule, and risk to deliver assigned projects within their approved scope, budget, and schedule. Plan, schedule, and execute all phases of projects in accordance with project management processes, policies, guidelines, and corporate governance. Develop detailed project plans and ensure project scopes, team responsibilities, milestone dates, and the procurement strategy are clearly stated for all assigned projects. Develop project schedules in accordance with project objectives. Coordinate the development of conceptual and detailed designs. Interface with vendors/contractors throughout the project life cycle. Establish responsibility for and manage the physical construction. Provide project progress reports to management and other stakeholders in accordance with an approved communication plan. Provide quality project cost forecasting over the project. Coordinate with procurement to solicit external materials and services as required for project deliverables. Manage the bid process and contracts for external engineering and project execution. Negotiate with vendors and contractors regarding work scope changes and ensure that all contract commitments are completed on time per the scope of work and technical specifications. Manage construction management team activities in conjunction with field operations. Interface with plant manager to gain necessary approvals and manage project risks. Requirements Requirements for this position include the following: Bachelor's Degree in Engineering, Construction Management or the equivalent combination of education and experience Five years years directly related professional experience. Experience in project scheduling, cost controls, tracking and reporting methodologies Knowledge of financial principles to quantify costs and benefits of projects and to track and maintain project budgets Experience in the application of Project Management Institute project management techniques or equivalent Experience in managing vendors and contractors regarding work scope changes to ensure that all contract commitments are completed on time per applicable specifications. Excellent technical writing and verbal communication skills Demonstrated business management skills including consulting, customer service, and business acumen Interpersonal and communication skills to facilitate team efforts, provide guidance and direction to team members, and communicate project objectives, parameters, status, and outcomes to stakeholders Ability to analyze information, form conclusions and provide meaningful solutions. Demonstrated skill in motivating and influencing others as well as skills and experience in team building, and conflict management Proficient in using Microsoft Office Suite including Teams, Word, and Excel Preferences Preference will be given to candidates who have the following: Seven years related professional experience. Project Management Professional certification by the Project Management Institute Understanding of environmental regulations, National Environmental Protection Act, environmental impact statement, environmental assessment, State Historical Preservation Office, Army Corp of Engineers, etc. Knowledge of the Company's business, policies, procedures, and practices Experience in the electric utility industry and applicable federal, state and local regulations Working knowledge of SAP in cost tracking and forecasting Working knowledge of Primavera scheduling or other project management software Experience in piping and boiler code welding. Benefits At PacifiCorp, we understand that living a healthy lifestyle isn't just about your physical health - your mental, financial, and social wellbeing also play an important role. That's why we offer a wide range of benefits designed to help you live a more balanced lifestyle. Our benefits include: Medical, dental, and vision insurance 401k with match fixed contributions, including a Roth and saving option. For union employees, matching contributions vary by union. For nonunion, PacifiCorp makes a fixed contribution equal to 4% of your eligible pay each year for new hires. In addition, PacifiCorp matches 100% of the first 6% you contribute. Life insurance Additional voluntary benefits, including pet insurance Tuition Assistance Mass Transit Pass for employees in our Portland and Salt Lake City Offices. Work Life Balance Generous Paid Time Off (PTO) - Time off varies by employee type (Union or Non-Union) Paid short-term disability leave and long-term disability insurance Paid Parental Leave Paid Bereavement Leave Employee Assistance Program supporting mental and emotional wellbeing For more information, please visit: Additional Information Req Id: 114804 Company Code: PACIFICORP Primary Location: VINEYARD 100% ONSITE Department: Power Supply Schedule: Full Time Personnel Subarea: Exempt Hiring Range: 117,400 - 161,370 Employees must be able to perform the essential functions of the position with or without an accommodation. PacifiCorp is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, medical condition, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law. Unless otherwise required by law, all offers of employment are contingent upon the successful completion of a background check and drug screening including for marijuana. While marijuana is legal in several states, including Oregon, a positive test for positions in Oregon may disqualify a candidate. The company complies with the laws of Washington and California and only obtains and considers positive tests for marijuana in safety-sensitive positions or those covered by U.S. Department of Transportation regulations. Nearest Major Market: Salt Lake City Career Segment: Project Manager, Technical Writer, Procurement, HVAC, Testing, Technology, Operations Compensation details: 70 Yearly Salary PI69f3de5843c6-1992
Position Title: Senior AI Program Manager Role Purpose LevelTen Energy's mission is to accelerate the energy transition by facilitating frictionless transactions. As the leading provider of renewable transaction infrastructure, we deliver the cloud-based software, centralized supply, automated analytics, and transaction expertise required to power the renewable energy economy. The LevelTen Platform is the world's largest online hub for renewable energy buyers, sellers, advisors, asset owners and financiers, and delivers the online tools and expertise they need to buy, sell and finance assets quickly. Join us on a mission that matters. LevelTen Energy is looking for a dynamic and highly organized AI Program Manager to serve as our internal AI evangelist. This is a hands-on, individual contributor role; you will be the driving force behind integrating cutting-edge AI tools and strategies across all departments. You will not only champion the use of AI but also roll up your sleeves to build agentic workflows, train our teams on advanced features in the Claude ecosystem, identify high-impact use cases, and partner closely with our IT and Information Security (InfoSec) teams to ensure safe, secure, and seamless tool rollouts. If you can talk about AI but can't build with it, this role isn't the right fit. Duties and Responsibilities Evangelize & Educate: Serve as the internal champion for Claude AI adoption. Build excitement and buy-in across the organization by showcasing the value of AI tools through engaging presentations, demos, and internal communications - including live demonstrations of tools and workflows you've built yourself. Applied AI Expertise: Go beyond evangelism to actually build in Claude, configure agentic workflows, design AI automations, and prototype solutions and connected platforms. Comfortable working with APIs, prompt engineering, and lightweight integrations without needing engineering support for every step. Design & Deliver Training: Develop comprehensive training programs, workshops, and resources tailored to different departments (e.g., Marketing, Sales, HR, Engineering) to ensure employees are confident and capable of using approved AI tools. Cross-Functional Collaboration: Partner with department heads to identify bottlenecks and workflows where AI can drive efficiency, cost savings, or innovation. IT & InfoSec Partnership: Work hand-in-hand with our IT and Information Security teams to evaluate, vet, and safely deploy new AI platforms. Ensure all AI initiatives strictly adhere to company data privacy, security standards, and compliance protocols. Program Management: Own the roadmap for internal AI adoption across a company of 100+ employees and multiple departments. Track deployment progress, measure usage metrics, and gather employee feedback to continuously improve our AI toolstack and strategy. Market Research: Stay constantly plugged into the rapidly evolving AI landscape. Identify emerging tools, trends, and best practices, and recommend new solutions that align with our business goals. Qualifications 5+ years of experience in technical program management, with 1-2 of those years incorporating AI. AI Fluency & Passion: Deep, current knowledge of the Claude ecosystem and a genuine enthusiasm for how the tools are transforming the modern workplace. Proven AI Builder: Demonstrated experience designing and deploying agentic workflows, AI automations, or lightweight integrations - not just using AI tools, but building with them. You have something to show for it. Self-Driven Practitioner: You experiment with AI on your own time, not just on the clock. You stay current because you're genuinely curious, and you bring what you learn back to the team in practical, applicable ways. Stellar Presentation Skills: A natural communicator who can translate complex technical concepts into accessible, engaging language for non-technical audiences. Exceptional Organization: Proven experience in program or project management. You know how to build a roadmap, manage timelines, and keep multiple stakeholders aligned. Security-Minded: Experience collaborating with IT or InfoSec teams. You understand the importance of data privacy, enterprise security, and the risks associated with shadow IT. Collaborative Empathy: High emotional intelligence with the ability to manage change. You understand that adopting new technology can be intimidating, and you approach training with patience and empathy. Benefits / Perks Full Medical, Vision and Dental coverage Wellness Credit Flexible vacation policy 11 paid company holidays 401k In the Seattle office: Casual dress code Commuter benefits Standing desk options Regular company-sponsored happy hours Hybrid in-office/work from home schedule Additional Information This position is based out of our office in the Belltown neighborhood of Seattle, WA (hybrid work schedule). The estimated compensation for this position is $140,000-180,000 per year, based on experience and qualifications. In addition, this position is eligible for an annual bonus and an equity grant. Must be legally authorized to work in the U.S. without a current or future need for visa sponsorship. About LevelTen Energy LevelTen Energy is the leading provider of transaction infrastructure for the clean energy transition, connecting buyers, sellers, and financiers through dynamic marketplaces, data-driven insights, and automated analytics. The LevelTen Platform supports power purchase agreements, clean energy asset M&A transactions, and tax credit transfers-soon expanding to granular certificate trading-enabling organizations to execute and manage transactions with confidence. With a network of over 1,000 project developers in 35 countries, LevelTen is advancing carbon-free energy markets by increasing transparency, liquidity, and accessibility. Learn more at Equal Opportunity Employer LevelTen Energy is an Equal Opportunity Employer committed to a diverse and inclusive workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, marital status, age, sexual orientation, gender identity or expression, or any other legally protected status. Accessibility If you are an individual with a disability and need assistance completing the online application or during the interview process, please call 1-. Please leave a message and a member of our People team will return your call within three business days. Alternatively, an email may be sent to . "Applicant Accommodation" should be included in the subject line of the email. Please note that this phone number and email are only for those individuals who would like to request an accommodation to apply for a job. PIcef7f4ba5-
07/28/2026
Full time
Position Title: Senior AI Program Manager Role Purpose LevelTen Energy's mission is to accelerate the energy transition by facilitating frictionless transactions. As the leading provider of renewable transaction infrastructure, we deliver the cloud-based software, centralized supply, automated analytics, and transaction expertise required to power the renewable energy economy. The LevelTen Platform is the world's largest online hub for renewable energy buyers, sellers, advisors, asset owners and financiers, and delivers the online tools and expertise they need to buy, sell and finance assets quickly. Join us on a mission that matters. LevelTen Energy is looking for a dynamic and highly organized AI Program Manager to serve as our internal AI evangelist. This is a hands-on, individual contributor role; you will be the driving force behind integrating cutting-edge AI tools and strategies across all departments. You will not only champion the use of AI but also roll up your sleeves to build agentic workflows, train our teams on advanced features in the Claude ecosystem, identify high-impact use cases, and partner closely with our IT and Information Security (InfoSec) teams to ensure safe, secure, and seamless tool rollouts. If you can talk about AI but can't build with it, this role isn't the right fit. Duties and Responsibilities Evangelize & Educate: Serve as the internal champion for Claude AI adoption. Build excitement and buy-in across the organization by showcasing the value of AI tools through engaging presentations, demos, and internal communications - including live demonstrations of tools and workflows you've built yourself. Applied AI Expertise: Go beyond evangelism to actually build in Claude, configure agentic workflows, design AI automations, and prototype solutions and connected platforms. Comfortable working with APIs, prompt engineering, and lightweight integrations without needing engineering support for every step. Design & Deliver Training: Develop comprehensive training programs, workshops, and resources tailored to different departments (e.g., Marketing, Sales, HR, Engineering) to ensure employees are confident and capable of using approved AI tools. Cross-Functional Collaboration: Partner with department heads to identify bottlenecks and workflows where AI can drive efficiency, cost savings, or innovation. IT & InfoSec Partnership: Work hand-in-hand with our IT and Information Security teams to evaluate, vet, and safely deploy new AI platforms. Ensure all AI initiatives strictly adhere to company data privacy, security standards, and compliance protocols. Program Management: Own the roadmap for internal AI adoption across a company of 100+ employees and multiple departments. Track deployment progress, measure usage metrics, and gather employee feedback to continuously improve our AI toolstack and strategy. Market Research: Stay constantly plugged into the rapidly evolving AI landscape. Identify emerging tools, trends, and best practices, and recommend new solutions that align with our business goals. Qualifications 5+ years of experience in technical program management, with 1-2 of those years incorporating AI. AI Fluency & Passion: Deep, current knowledge of the Claude ecosystem and a genuine enthusiasm for how the tools are transforming the modern workplace. Proven AI Builder: Demonstrated experience designing and deploying agentic workflows, AI automations, or lightweight integrations - not just using AI tools, but building with them. You have something to show for it. Self-Driven Practitioner: You experiment with AI on your own time, not just on the clock. You stay current because you're genuinely curious, and you bring what you learn back to the team in practical, applicable ways. Stellar Presentation Skills: A natural communicator who can translate complex technical concepts into accessible, engaging language for non-technical audiences. Exceptional Organization: Proven experience in program or project management. You know how to build a roadmap, manage timelines, and keep multiple stakeholders aligned. Security-Minded: Experience collaborating with IT or InfoSec teams. You understand the importance of data privacy, enterprise security, and the risks associated with shadow IT. Collaborative Empathy: High emotional intelligence with the ability to manage change. You understand that adopting new technology can be intimidating, and you approach training with patience and empathy. Benefits / Perks Full Medical, Vision and Dental coverage Wellness Credit Flexible vacation policy 11 paid company holidays 401k In the Seattle office: Casual dress code Commuter benefits Standing desk options Regular company-sponsored happy hours Hybrid in-office/work from home schedule Additional Information This position is based out of our office in the Belltown neighborhood of Seattle, WA (hybrid work schedule). The estimated compensation for this position is $140,000-180,000 per year, based on experience and qualifications. In addition, this position is eligible for an annual bonus and an equity grant. Must be legally authorized to work in the U.S. without a current or future need for visa sponsorship. About LevelTen Energy LevelTen Energy is the leading provider of transaction infrastructure for the clean energy transition, connecting buyers, sellers, and financiers through dynamic marketplaces, data-driven insights, and automated analytics. The LevelTen Platform supports power purchase agreements, clean energy asset M&A transactions, and tax credit transfers-soon expanding to granular certificate trading-enabling organizations to execute and manage transactions with confidence. With a network of over 1,000 project developers in 35 countries, LevelTen is advancing carbon-free energy markets by increasing transparency, liquidity, and accessibility. Learn more at Equal Opportunity Employer LevelTen Energy is an Equal Opportunity Employer committed to a diverse and inclusive workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, marital status, age, sexual orientation, gender identity or expression, or any other legally protected status. Accessibility If you are an individual with a disability and need assistance completing the online application or during the interview process, please call 1-. Please leave a message and a member of our People team will return your call within three business days. Alternatively, an email may be sent to . "Applicant Accommodation" should be included in the subject line of the email. Please note that this phone number and email are only for those individuals who would like to request an accommodation to apply for a job. PIcef7f4ba5-
Job Description Architect the Future of Enterprise Intelligence The"Senior Data Architect"provides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans"traditional data management"(DBMS, data modeling, warehousing, governance) and"modern cloud native/AI data engineering"on AWS, including"bronze, silver, gold patterns, Generation (RAG)"for LLMs, and data products that serve Cloud-native SaaS"application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into"target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as"S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.," Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement"row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via"IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and"feature/knowledge"layers to support"SageMaker"training/inference and"Amazon Bedrock"applications (e.g.,"Knowledge Bases,"Guardrails,"Agents, and Invoke Model/Converse orchestration). Lead"RAG"architectures (chunking, embeddings, retrieval) using"vector databases"such as"Amazon OpenSearch Serverless (vector search)"or"Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set"prompt, context, and token budget"standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:"SQL Server,"PostgreSQL,"MongoDB, including"schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern"EDW/ Lakehouse/ODS"patterns; integrate with".NET/C#"services and"Angular"frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define"API and data contract standards"(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for".NET/C#"and"Angular"consumers. Orchestrate ingestion from"SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,"MSK/Kinesis,"DMS,"Glue). Partner with Solution/Platform Architects to ensure"microservices"and"event driven"designs are data efficient and observability ready. Data Governance, Quality & Observability Implement"data governance"(policies, stewardship, data classification),"cataloging"(Glue Data Catalog),"lineage"(Open Lineage compatible), and"quality"(rules, thresholds, SLAs/SLOs). Embed"monitoring & cost governance"(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with"data minimization, tokenization, masking, and"access controls"across environments. Define secure patterns for"model inputs/outputs"(LLM safety),"prompt hygiene, and"guardrails"to prevent leakage or misuse. Delivery Leadership & Collaboration Produce"architecture blueprints, target state designs, and"build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead"design reviews,"threat modeling, and"cost/performance"reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of"engineering excellence"and"learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in"computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,"AWS Data Analytics/Solutions Architect preferred). 10+ years"designing and delivering enterprise data solutions, including"hands-on"work with both"traditional DBMS"and"cloud native"data platforms. 5+ years"building on cloud platforms"with production experience in several of:"S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing"data propagation Lakehouse"patterns and governance"at scale. Proven track record supporting"AI/ML"workloads (feature stores, model data pipelines) and delivering"RAG"solutions with vector search on AWS. Strong"SQL"and"Python; proficiency in"data modeling"-"IFC (preferred),"3NF, dimensional/star, data vault, etc. DBMS:"SQL Server,"PostgreSQL"(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:"Spark/EMR,"Glue"(ETL/ELT & Studio),"Airflow/Step Functions"orchestration," Parquet/Delta/Iceberg. Streaming/CDC:"MSK/Kinesis,"DMS"(change data capture),"event driven"patterns. Security & Governance:"IAM,"KMS,"Lake Formation,"Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:"Amazon Bedrock"(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,"prompt design,"token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,"cost controls"(storage/compute), workload rightsizing. DevOps/MLOps/IaC:"Git,"CI/CD"for data pipelines;"Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with"Redshift RA3/Spectrum,"materialized views,"workload management, and federated queries (Athena/Glue). Familiarity with"Power BI"/"Microsoft Fabric"and"Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies"(anonymization, differential privacy),"policy as code, and"guardrail"frameworks. Experience working with"geographically distributed teams"and"regulated data. Strategic thinking with the ability to balance short-term increments"and"long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
07/28/2026
Full time
Job Description Architect the Future of Enterprise Intelligence The"Senior Data Architect"provides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans"traditional data management"(DBMS, data modeling, warehousing, governance) and"modern cloud native/AI data engineering"on AWS, including"bronze, silver, gold patterns, Generation (RAG)"for LLMs, and data products that serve Cloud-native SaaS"application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into"target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as"S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.," Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement"row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via"IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and"feature/knowledge"layers to support"SageMaker"training/inference and"Amazon Bedrock"applications (e.g.,"Knowledge Bases,"Guardrails,"Agents, and Invoke Model/Converse orchestration). Lead"RAG"architectures (chunking, embeddings, retrieval) using"vector databases"such as"Amazon OpenSearch Serverless (vector search)"or"Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set"prompt, context, and token budget"standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:"SQL Server,"PostgreSQL,"MongoDB, including"schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern"EDW/ Lakehouse/ODS"patterns; integrate with".NET/C#"services and"Angular"frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define"API and data contract standards"(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for".NET/C#"and"Angular"consumers. Orchestrate ingestion from"SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,"MSK/Kinesis,"DMS,"Glue). Partner with Solution/Platform Architects to ensure"microservices"and"event driven"designs are data efficient and observability ready. Data Governance, Quality & Observability Implement"data governance"(policies, stewardship, data classification),"cataloging"(Glue Data Catalog),"lineage"(Open Lineage compatible), and"quality"(rules, thresholds, SLAs/SLOs). Embed"monitoring & cost governance"(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with"data minimization, tokenization, masking, and"access controls"across environments. Define secure patterns for"model inputs/outputs"(LLM safety),"prompt hygiene, and"guardrails"to prevent leakage or misuse. Delivery Leadership & Collaboration Produce"architecture blueprints, target state designs, and"build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead"design reviews,"threat modeling, and"cost/performance"reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of"engineering excellence"and"learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in"computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,"AWS Data Analytics/Solutions Architect preferred). 10+ years"designing and delivering enterprise data solutions, including"hands-on"work with both"traditional DBMS"and"cloud native"data platforms. 5+ years"building on cloud platforms"with production experience in several of:"S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing"data propagation Lakehouse"patterns and governance"at scale. Proven track record supporting"AI/ML"workloads (feature stores, model data pipelines) and delivering"RAG"solutions with vector search on AWS. Strong"SQL"and"Python; proficiency in"data modeling"-"IFC (preferred),"3NF, dimensional/star, data vault, etc. DBMS:"SQL Server,"PostgreSQL"(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:"Spark/EMR,"Glue"(ETL/ELT & Studio),"Airflow/Step Functions"orchestration," Parquet/Delta/Iceberg. Streaming/CDC:"MSK/Kinesis,"DMS"(change data capture),"event driven"patterns. Security & Governance:"IAM,"KMS,"Lake Formation,"Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:"Amazon Bedrock"(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,"prompt design,"token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,"cost controls"(storage/compute), workload rightsizing. DevOps/MLOps/IaC:"Git,"CI/CD"for data pipelines;"Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with"Redshift RA3/Spectrum,"materialized views,"workload management, and federated queries (Athena/Glue). Familiarity with"Power BI"/"Microsoft Fabric"and"Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies"(anonymization, differential privacy),"policy as code, and"guardrail"frameworks. Experience working with"geographically distributed teams"and"regulated data. Strategic thinking with the ability to balance short-term increments"and"long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
Job Description Architect the Future of Enterprise Intelligence The"Senior Data Architect"provides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans"traditional data management"(DBMS, data modeling, warehousing, governance) and"modern cloud native/AI data engineering"on AWS, including"bronze, silver, gold patterns, Generation (RAG)"for LLMs, and data products that serve Cloud-native SaaS"application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into"target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as"S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.," Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement"row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via"IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and"feature/knowledge"layers to support"SageMaker"training/inference and"Amazon Bedrock"applications (e.g.,"Knowledge Bases,"Guardrails,"Agents, and Invoke Model/Converse orchestration). Lead"RAG"architectures (chunking, embeddings, retrieval) using"vector databases"such as"Amazon OpenSearch Serverless (vector search)"or"Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set"prompt, context, and token budget"standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:"SQL Server,"PostgreSQL,"MongoDB, including"schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern"EDW/ Lakehouse/ODS"patterns; integrate with".NET/C#"services and"Angular"frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define"API and data contract standards"(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for".NET/C#"and"Angular"consumers. Orchestrate ingestion from"SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,"MSK/Kinesis,"DMS,"Glue). Partner with Solution/Platform Architects to ensure"microservices"and"event driven"designs are data efficient and observability ready. Data Governance, Quality & Observability Implement"data governance"(policies, stewardship, data classification),"cataloging"(Glue Data Catalog),"lineage"(Open Lineage compatible), and"quality"(rules, thresholds, SLAs/SLOs). Embed"monitoring & cost governance"(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with"data minimization, tokenization, masking, and"access controls"across environments. Define secure patterns for"model inputs/outputs"(LLM safety),"prompt hygiene, and"guardrails"to prevent leakage or misuse. Delivery Leadership & Collaboration Produce"architecture blueprints, target state designs, and"build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead"design reviews,"threat modeling, and"cost/performance"reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of"engineering excellence"and"learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in"computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,"AWS Data Analytics/Solutions Architect preferred). 10+ years"designing and delivering enterprise data solutions, including"hands-on"work with both"traditional DBMS"and"cloud native"data platforms. 5+ years"building on cloud platforms"with production experience in several of:"S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing"data propagation Lakehouse"patterns and governance"at scale. Proven track record supporting"AI/ML"workloads (feature stores, model data pipelines) and delivering"RAG"solutions with vector search on AWS. Strong"SQL"and"Python; proficiency in"data modeling"-"IFC (preferred),"3NF, dimensional/star, data vault, etc. DBMS:"SQL Server,"PostgreSQL"(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:"Spark/EMR,"Glue"(ETL/ELT & Studio),"Airflow/Step Functions"orchestration," Parquet/Delta/Iceberg. Streaming/CDC:"MSK/Kinesis,"DMS"(change data capture),"event driven"patterns. Security & Governance:"IAM,"KMS,"Lake Formation,"Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:"Amazon Bedrock"(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,"prompt design,"token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,"cost controls"(storage/compute), workload rightsizing. DevOps/MLOps/IaC:"Git,"CI/CD"for data pipelines;"Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with"Redshift RA3/Spectrum,"materialized views,"workload management, and federated queries (Athena/Glue). Familiarity with"Power BI"/"Microsoft Fabric"and"Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies"(anonymization, differential privacy),"policy as code, and"guardrail"frameworks. Experience working with"geographically distributed teams"and"regulated data. Strategic thinking with the ability to balance short-term increments"and"long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
07/28/2026
Full time
Job Description Architect the Future of Enterprise Intelligence The"Senior Data Architect"provides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans"traditional data management"(DBMS, data modeling, warehousing, governance) and"modern cloud native/AI data engineering"on AWS, including"bronze, silver, gold patterns, Generation (RAG)"for LLMs, and data products that serve Cloud-native SaaS"application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into"target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as"S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.," Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement"row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via"IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and"feature/knowledge"layers to support"SageMaker"training/inference and"Amazon Bedrock"applications (e.g.,"Knowledge Bases,"Guardrails,"Agents, and Invoke Model/Converse orchestration). Lead"RAG"architectures (chunking, embeddings, retrieval) using"vector databases"such as"Amazon OpenSearch Serverless (vector search)"or"Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set"prompt, context, and token budget"standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:"SQL Server,"PostgreSQL,"MongoDB, including"schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern"EDW/ Lakehouse/ODS"patterns; integrate with".NET/C#"services and"Angular"frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define"API and data contract standards"(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for".NET/C#"and"Angular"consumers. Orchestrate ingestion from"SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,"MSK/Kinesis,"DMS,"Glue). Partner with Solution/Platform Architects to ensure"microservices"and"event driven"designs are data efficient and observability ready. Data Governance, Quality & Observability Implement"data governance"(policies, stewardship, data classification),"cataloging"(Glue Data Catalog),"lineage"(Open Lineage compatible), and"quality"(rules, thresholds, SLAs/SLOs). Embed"monitoring & cost governance"(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with"data minimization, tokenization, masking, and"access controls"across environments. Define secure patterns for"model inputs/outputs"(LLM safety),"prompt hygiene, and"guardrails"to prevent leakage or misuse. Delivery Leadership & Collaboration Produce"architecture blueprints, target state designs, and"build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead"design reviews,"threat modeling, and"cost/performance"reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of"engineering excellence"and"learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in"computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,"AWS Data Analytics/Solutions Architect preferred). 10+ years"designing and delivering enterprise data solutions, including"hands-on"work with both"traditional DBMS"and"cloud native"data platforms. 5+ years"building on cloud platforms"with production experience in several of:"S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing"data propagation Lakehouse"patterns and governance"at scale. Proven track record supporting"AI/ML"workloads (feature stores, model data pipelines) and delivering"RAG"solutions with vector search on AWS. Strong"SQL"and"Python; proficiency in"data modeling"-"IFC (preferred),"3NF, dimensional/star, data vault, etc. DBMS:"SQL Server,"PostgreSQL"(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:"Spark/EMR,"Glue"(ETL/ELT & Studio),"Airflow/Step Functions"orchestration," Parquet/Delta/Iceberg. Streaming/CDC:"MSK/Kinesis,"DMS"(change data capture),"event driven"patterns. Security & Governance:"IAM,"KMS,"Lake Formation,"Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:"Amazon Bedrock"(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,"prompt design,"token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,"cost controls"(storage/compute), workload rightsizing. DevOps/MLOps/IaC:"Git,"CI/CD"for data pipelines;"Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with"Redshift RA3/Spectrum,"materialized views,"workload management, and federated queries (Athena/Glue). Familiarity with"Power BI"/"Microsoft Fabric"and"Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies"(anonymization, differential privacy),"policy as code, and"guardrail"frameworks. Experience working with"geographically distributed teams"and"regulated data. Strategic thinking with the ability to balance short-term increments"and"long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
Job Description Architect the Future of Enterprise Intelligence The"Senior Data Architect"provides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans"traditional data management"(DBMS, data modeling, warehousing, governance) and"modern cloud native/AI data engineering"on AWS, including"bronze, silver, gold patterns, Generation (RAG)"for LLMs, and data products that serve Cloud-native SaaS"application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into"target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as"S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.," Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement"row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via"IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and"feature/knowledge"layers to support"SageMaker"training/inference and"Amazon Bedrock"applications (e.g.,"Knowledge Bases,"Guardrails,"Agents, and Invoke Model/Converse orchestration). Lead"RAG"architectures (chunking, embeddings, retrieval) using"vector databases"such as"Amazon OpenSearch Serverless (vector search)"or"Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set"prompt, context, and token budget"standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:"SQL Server,"PostgreSQL,"MongoDB, including"schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern"EDW/ Lakehouse/ODS"patterns; integrate with".NET/C#"services and"Angular"frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define"API and data contract standards"(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for".NET/C#"and"Angular"consumers. Orchestrate ingestion from"SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,"MSK/Kinesis,"DMS,"Glue). Partner with Solution/Platform Architects to ensure"microservices"and"event driven"designs are data efficient and observability ready. Data Governance, Quality & Observability Implement"data governance"(policies, stewardship, data classification),"cataloging"(Glue Data Catalog),"lineage"(Open Lineage compatible), and"quality"(rules, thresholds, SLAs/SLOs). Embed"monitoring & cost governance"(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with"data minimization, tokenization, masking, and"access controls"across environments. Define secure patterns for"model inputs/outputs"(LLM safety),"prompt hygiene, and"guardrails"to prevent leakage or misuse. Delivery Leadership & Collaboration Produce"architecture blueprints, target state designs, and"build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead"design reviews,"threat modeling, and"cost/performance"reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of"engineering excellence"and"learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in"computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,"AWS Data Analytics/Solutions Architect preferred). 10+ years"designing and delivering enterprise data solutions, including"hands-on"work with both"traditional DBMS"and"cloud native"data platforms. 5+ years"building on cloud platforms"with production experience in several of:"S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing"data propagation Lakehouse"patterns and governance"at scale. Proven track record supporting"AI/ML"workloads (feature stores, model data pipelines) and delivering"RAG"solutions with vector search on AWS. Strong"SQL"and"Python; proficiency in"data modeling"-"IFC (preferred),"3NF, dimensional/star, data vault, etc. DBMS:"SQL Server,"PostgreSQL"(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:"Spark/EMR,"Glue"(ETL/ELT & Studio),"Airflow/Step Functions"orchestration," Parquet/Delta/Iceberg. Streaming/CDC:"MSK/Kinesis,"DMS"(change data capture),"event driven"patterns. Security & Governance:"IAM,"KMS,"Lake Formation,"Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:"Amazon Bedrock"(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,"prompt design,"token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,"cost controls"(storage/compute), workload rightsizing. DevOps/MLOps/IaC:"Git,"CI/CD"for data pipelines;"Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with"Redshift RA3/Spectrum,"materialized views,"workload management, and federated queries (Athena/Glue). Familiarity with"Power BI"/"Microsoft Fabric"and"Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies"(anonymization, differential privacy),"policy as code, and"guardrail"frameworks. Experience working with"geographically distributed teams"and"regulated data. Strategic thinking with the ability to balance short-term increments"and"long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
07/28/2026
Full time
Job Description Architect the Future of Enterprise Intelligence The"Senior Data Architect"provides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans"traditional data management"(DBMS, data modeling, warehousing, governance) and"modern cloud native/AI data engineering"on AWS, including"bronze, silver, gold patterns, Generation (RAG)"for LLMs, and data products that serve Cloud-native SaaS"application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into"target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as"S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.," Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement"row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via"IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and"feature/knowledge"layers to support"SageMaker"training/inference and"Amazon Bedrock"applications (e.g.,"Knowledge Bases,"Guardrails,"Agents, and Invoke Model/Converse orchestration). Lead"RAG"architectures (chunking, embeddings, retrieval) using"vector databases"such as"Amazon OpenSearch Serverless (vector search)"or"Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set"prompt, context, and token budget"standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:"SQL Server,"PostgreSQL,"MongoDB, including"schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern"EDW/ Lakehouse/ODS"patterns; integrate with".NET/C#"services and"Angular"frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define"API and data contract standards"(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for".NET/C#"and"Angular"consumers. Orchestrate ingestion from"SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,"MSK/Kinesis,"DMS,"Glue). Partner with Solution/Platform Architects to ensure"microservices"and"event driven"designs are data efficient and observability ready. Data Governance, Quality & Observability Implement"data governance"(policies, stewardship, data classification),"cataloging"(Glue Data Catalog),"lineage"(Open Lineage compatible), and"quality"(rules, thresholds, SLAs/SLOs). Embed"monitoring & cost governance"(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with"data minimization, tokenization, masking, and"access controls"across environments. Define secure patterns for"model inputs/outputs"(LLM safety),"prompt hygiene, and"guardrails"to prevent leakage or misuse. Delivery Leadership & Collaboration Produce"architecture blueprints, target state designs, and"build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead"design reviews,"threat modeling, and"cost/performance"reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of"engineering excellence"and"learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in"computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,"AWS Data Analytics/Solutions Architect preferred). 10+ years"designing and delivering enterprise data solutions, including"hands-on"work with both"traditional DBMS"and"cloud native"data platforms. 5+ years"building on cloud platforms"with production experience in several of:"S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing"data propagation Lakehouse"patterns and governance"at scale. Proven track record supporting"AI/ML"workloads (feature stores, model data pipelines) and delivering"RAG"solutions with vector search on AWS. Strong"SQL"and"Python; proficiency in"data modeling"-"IFC (preferred),"3NF, dimensional/star, data vault, etc. DBMS:"SQL Server,"PostgreSQL"(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:"Spark/EMR,"Glue"(ETL/ELT & Studio),"Airflow/Step Functions"orchestration," Parquet/Delta/Iceberg. Streaming/CDC:"MSK/Kinesis,"DMS"(change data capture),"event driven"patterns. Security & Governance:"IAM,"KMS,"Lake Formation,"Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:"Amazon Bedrock"(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,"prompt design,"token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,"cost controls"(storage/compute), workload rightsizing. DevOps/MLOps/IaC:"Git,"CI/CD"for data pipelines;"Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with"Redshift RA3/Spectrum,"materialized views,"workload management, and federated queries (Athena/Glue). Familiarity with"Power BI"/"Microsoft Fabric"and"Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies"(anonymization, differential privacy),"policy as code, and"guardrail"frameworks. Experience working with"geographically distributed teams"and"regulated data. Strategic thinking with the ability to balance short-term increments"and"long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
Job Description Architect the Future of Enterprise Intelligence The"Senior Data Architect"provides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans"traditional data management"(DBMS, data modeling, warehousing, governance) and"modern cloud native/AI data engineering"on AWS, including"bronze, silver, gold patterns, Generation (RAG)"for LLMs, and data products that serve Cloud-native SaaS"application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into"target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as"S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.," Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement"row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via"IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and"feature/knowledge"layers to support"SageMaker"training/inference and"Amazon Bedrock"applications (e.g.,"Knowledge Bases,"Guardrails,"Agents, and Invoke Model/Converse orchestration). Lead"RAG"architectures (chunking, embeddings, retrieval) using"vector databases"such as"Amazon OpenSearch Serverless (vector search)"or"Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set"prompt, context, and token budget"standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:"SQL Server,"PostgreSQL,"MongoDB, including"schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern"EDW/ Lakehouse/ODS"patterns; integrate with".NET/C#"services and"Angular"frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define"API and data contract standards"(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for".NET/C#"and"Angular"consumers. Orchestrate ingestion from"SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,"MSK/Kinesis,"DMS,"Glue). Partner with Solution/Platform Architects to ensure"microservices"and"event driven"designs are data efficient and observability ready. Data Governance, Quality & Observability Implement"data governance"(policies, stewardship, data classification),"cataloging"(Glue Data Catalog),"lineage"(Open Lineage compatible), and"quality"(rules, thresholds, SLAs/SLOs). Embed"monitoring & cost governance"(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with"data minimization, tokenization, masking, and"access controls"across environments. Define secure patterns for"model inputs/outputs"(LLM safety),"prompt hygiene, and"guardrails"to prevent leakage or misuse. Delivery Leadership & Collaboration Produce"architecture blueprints, target state designs, and"build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead"design reviews,"threat modeling, and"cost/performance"reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of"engineering excellence"and"learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in"computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,"AWS Data Analytics/Solutions Architect preferred). 10+ years"designing and delivering enterprise data solutions, including"hands-on"work with both"traditional DBMS"and"cloud native"data platforms. 5+ years"building on cloud platforms"with production experience in several of:"S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing"data propagation Lakehouse"patterns and governance"at scale. Proven track record supporting"AI/ML"workloads (feature stores, model data pipelines) and delivering"RAG"solutions with vector search on AWS. Strong"SQL"and"Python; proficiency in"data modeling"-"IFC (preferred),"3NF, dimensional/star, data vault, etc. DBMS:"SQL Server,"PostgreSQL"(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:"Spark/EMR,"Glue"(ETL/ELT & Studio),"Airflow/Step Functions"orchestration," Parquet/Delta/Iceberg. Streaming/CDC:"MSK/Kinesis,"DMS"(change data capture),"event driven"patterns. Security & Governance:"IAM,"KMS,"Lake Formation,"Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:"Amazon Bedrock"(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,"prompt design,"token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,"cost controls"(storage/compute), workload rightsizing. DevOps/MLOps/IaC:"Git,"CI/CD"for data pipelines;"Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with"Redshift RA3/Spectrum,"materialized views,"workload management, and federated queries (Athena/Glue). Familiarity with"Power BI"/"Microsoft Fabric"and"Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies"(anonymization, differential privacy),"policy as code, and"guardrail"frameworks. Experience working with"geographically distributed teams"and"regulated data. Strategic thinking with the ability to balance short-term increments"and"long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
07/28/2026
Full time
Job Description Architect the Future of Enterprise Intelligence The"Senior Data Architect"provides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans"traditional data management"(DBMS, data modeling, warehousing, governance) and"modern cloud native/AI data engineering"on AWS, including"bronze, silver, gold patterns, Generation (RAG)"for LLMs, and data products that serve Cloud-native SaaS"application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into"target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as"S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.," Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement"row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via"IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and"feature/knowledge"layers to support"SageMaker"training/inference and"Amazon Bedrock"applications (e.g.,"Knowledge Bases,"Guardrails,"Agents, and Invoke Model/Converse orchestration). Lead"RAG"architectures (chunking, embeddings, retrieval) using"vector databases"such as"Amazon OpenSearch Serverless (vector search)"or"Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set"prompt, context, and token budget"standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:"SQL Server,"PostgreSQL,"MongoDB, including"schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern"EDW/ Lakehouse/ODS"patterns; integrate with".NET/C#"services and"Angular"frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define"API and data contract standards"(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for".NET/C#"and"Angular"consumers. Orchestrate ingestion from"SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,"MSK/Kinesis,"DMS,"Glue). Partner with Solution/Platform Architects to ensure"microservices"and"event driven"designs are data efficient and observability ready. Data Governance, Quality & Observability Implement"data governance"(policies, stewardship, data classification),"cataloging"(Glue Data Catalog),"lineage"(Open Lineage compatible), and"quality"(rules, thresholds, SLAs/SLOs). Embed"monitoring & cost governance"(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with"data minimization, tokenization, masking, and"access controls"across environments. Define secure patterns for"model inputs/outputs"(LLM safety),"prompt hygiene, and"guardrails"to prevent leakage or misuse. Delivery Leadership & Collaboration Produce"architecture blueprints, target state designs, and"build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead"design reviews,"threat modeling, and"cost/performance"reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of"engineering excellence"and"learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in"computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,"AWS Data Analytics/Solutions Architect preferred). 10+ years"designing and delivering enterprise data solutions, including"hands-on"work with both"traditional DBMS"and"cloud native"data platforms. 5+ years"building on cloud platforms"with production experience in several of:"S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing"data propagation Lakehouse"patterns and governance"at scale. Proven track record supporting"AI/ML"workloads (feature stores, model data pipelines) and delivering"RAG"solutions with vector search on AWS. Strong"SQL"and"Python; proficiency in"data modeling"-"IFC (preferred),"3NF, dimensional/star, data vault, etc. DBMS:"SQL Server,"PostgreSQL"(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:"Spark/EMR,"Glue"(ETL/ELT & Studio),"Airflow/Step Functions"orchestration," Parquet/Delta/Iceberg. Streaming/CDC:"MSK/Kinesis,"DMS"(change data capture),"event driven"patterns. Security & Governance:"IAM,"KMS,"Lake Formation,"Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:"Amazon Bedrock"(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,"prompt design,"token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,"cost controls"(storage/compute), workload rightsizing. DevOps/MLOps/IaC:"Git,"CI/CD"for data pipelines;"Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with"Redshift RA3/Spectrum,"materialized views,"workload management, and federated queries (Athena/Glue). Familiarity with"Power BI"/"Microsoft Fabric"and"Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies"(anonymization, differential privacy),"policy as code, and"guardrail"frameworks. Experience working with"geographically distributed teams"and"regulated data. Strategic thinking with the ability to balance short-term increments"and"long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
Job Description Architect the Future of Enterprise Intelligence The"Senior Data Architect"provides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans"traditional data management"(DBMS, data modeling, warehousing, governance) and"modern cloud native/AI data engineering"on AWS, including"bronze, silver, gold patterns, Generation (RAG)"for LLMs, and data products that serve Cloud-native SaaS"application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into"target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as"S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.," Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement"row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via"IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and"feature/knowledge"layers to support"SageMaker"training/inference and"Amazon Bedrock"applications (e.g.,"Knowledge Bases,"Guardrails,"Agents, and Invoke Model/Converse orchestration). Lead"RAG"architectures (chunking, embeddings, retrieval) using"vector databases"such as"Amazon OpenSearch Serverless (vector search)"or"Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set"prompt, context, and token budget"standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:"SQL Server,"PostgreSQL,"MongoDB, including"schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern"EDW/ Lakehouse/ODS"patterns; integrate with".NET/C#"services and"Angular"frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define"API and data contract standards"(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for".NET/C#"and"Angular"consumers. Orchestrate ingestion from"SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,"MSK/Kinesis,"DMS,"Glue). Partner with Solution/Platform Architects to ensure"microservices"and"event driven"designs are data efficient and observability ready. Data Governance, Quality & Observability Implement"data governance"(policies, stewardship, data classification),"cataloging"(Glue Data Catalog),"lineage"(Open Lineage compatible), and"quality"(rules, thresholds, SLAs/SLOs). Embed"monitoring & cost governance"(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with"data minimization, tokenization, masking, and"access controls"across environments. Define secure patterns for"model inputs/outputs"(LLM safety),"prompt hygiene, and"guardrails"to prevent leakage or misuse. Delivery Leadership & Collaboration Produce"architecture blueprints, target state designs, and"build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead"design reviews,"threat modeling, and"cost/performance"reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of"engineering excellence"and"learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in"computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,"AWS Data Analytics/Solutions Architect preferred). 10+ years"designing and delivering enterprise data solutions, including"hands-on"work with both"traditional DBMS"and"cloud native"data platforms. 5+ years"building on cloud platforms"with production experience in several of:"S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing"data propagation Lakehouse"patterns and governance"at scale. Proven track record supporting"AI/ML"workloads (feature stores, model data pipelines) and delivering"RAG"solutions with vector search on AWS. Strong"SQL"and"Python; proficiency in"data modeling"-"IFC (preferred),"3NF, dimensional/star, data vault, etc. DBMS:"SQL Server,"PostgreSQL"(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:"Spark/EMR,"Glue"(ETL/ELT & Studio),"Airflow/Step Functions"orchestration," Parquet/Delta/Iceberg. Streaming/CDC:"MSK/Kinesis,"DMS"(change data capture),"event driven"patterns. Security & Governance:"IAM,"KMS,"Lake Formation,"Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:"Amazon Bedrock"(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,"prompt design,"token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,"cost controls"(storage/compute), workload rightsizing. DevOps/MLOps/IaC:"Git,"CI/CD"for data pipelines;"Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with"Redshift RA3/Spectrum,"materialized views,"workload management, and federated queries (Athena/Glue). Familiarity with"Power BI"/"Microsoft Fabric"and"Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies"(anonymization, differential privacy),"policy as code, and"guardrail"frameworks. Experience working with"geographically distributed teams"and"regulated data. Strategic thinking with the ability to balance short-term increments"and"long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
07/28/2026
Full time
Job Description Architect the Future of Enterprise Intelligence The"Senior Data Architect"provides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans"traditional data management"(DBMS, data modeling, warehousing, governance) and"modern cloud native/AI data engineering"on AWS, including"bronze, silver, gold patterns, Generation (RAG)"for LLMs, and data products that serve Cloud-native SaaS"application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into"target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as"S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.," Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement"row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via"IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and"feature/knowledge"layers to support"SageMaker"training/inference and"Amazon Bedrock"applications (e.g.,"Knowledge Bases,"Guardrails,"Agents, and Invoke Model/Converse orchestration). Lead"RAG"architectures (chunking, embeddings, retrieval) using"vector databases"such as"Amazon OpenSearch Serverless (vector search)"or"Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set"prompt, context, and token budget"standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:"SQL Server,"PostgreSQL,"MongoDB, including"schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern"EDW/ Lakehouse/ODS"patterns; integrate with".NET/C#"services and"Angular"frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define"API and data contract standards"(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for".NET/C#"and"Angular"consumers. Orchestrate ingestion from"SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,"MSK/Kinesis,"DMS,"Glue). Partner with Solution/Platform Architects to ensure"microservices"and"event driven"designs are data efficient and observability ready. Data Governance, Quality & Observability Implement"data governance"(policies, stewardship, data classification),"cataloging"(Glue Data Catalog),"lineage"(Open Lineage compatible), and"quality"(rules, thresholds, SLAs/SLOs). Embed"monitoring & cost governance"(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with"data minimization, tokenization, masking, and"access controls"across environments. Define secure patterns for"model inputs/outputs"(LLM safety),"prompt hygiene, and"guardrails"to prevent leakage or misuse. Delivery Leadership & Collaboration Produce"architecture blueprints, target state designs, and"build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead"design reviews,"threat modeling, and"cost/performance"reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of"engineering excellence"and"learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in"computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,"AWS Data Analytics/Solutions Architect preferred). 10+ years"designing and delivering enterprise data solutions, including"hands-on"work with both"traditional DBMS"and"cloud native"data platforms. 5+ years"building on cloud platforms"with production experience in several of:"S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing"data propagation Lakehouse"patterns and governance"at scale. Proven track record supporting"AI/ML"workloads (feature stores, model data pipelines) and delivering"RAG"solutions with vector search on AWS. Strong"SQL"and"Python; proficiency in"data modeling"-"IFC (preferred),"3NF, dimensional/star, data vault, etc. DBMS:"SQL Server,"PostgreSQL"(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:"Spark/EMR,"Glue"(ETL/ELT & Studio),"Airflow/Step Functions"orchestration," Parquet/Delta/Iceberg. Streaming/CDC:"MSK/Kinesis,"DMS"(change data capture),"event driven"patterns. Security & Governance:"IAM,"KMS,"Lake Formation,"Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:"Amazon Bedrock"(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,"prompt design,"token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,"cost controls"(storage/compute), workload rightsizing. DevOps/MLOps/IaC:"Git,"CI/CD"for data pipelines;"Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with"Redshift RA3/Spectrum,"materialized views,"workload management, and federated queries (Athena/Glue). Familiarity with"Power BI"/"Microsoft Fabric"and"Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies"(anonymization, differential privacy),"policy as code, and"guardrail"frameworks. Experience working with"geographically distributed teams"and"regulated data. Strategic thinking with the ability to balance short-term increments"and"long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
Job Description Architect the Future of Enterprise Intelligence The"Senior Data Architect"provides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans"traditional data management"(DBMS, data modeling, warehousing, governance) and"modern cloud native/AI data engineering"on AWS, including"bronze, silver, gold patterns, Generation (RAG)"for LLMs, and data products that serve Cloud-native SaaS"application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into"target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as"S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.," Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement"row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via"IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and"feature/knowledge"layers to support"SageMaker"training/inference and"Amazon Bedrock"applications (e.g.,"Knowledge Bases,"Guardrails,"Agents, and Invoke Model/Converse orchestration). Lead"RAG"architectures (chunking, embeddings, retrieval) using"vector databases"such as"Amazon OpenSearch Serverless (vector search)"or"Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set"prompt, context, and token budget"standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:"SQL Server,"PostgreSQL,"MongoDB, including"schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern"EDW/ Lakehouse/ODS"patterns; integrate with".NET/C#"services and"Angular"frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define"API and data contract standards"(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for".NET/C#"and"Angular"consumers. Orchestrate ingestion from"SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,"MSK/Kinesis,"DMS,"Glue). Partner with Solution/Platform Architects to ensure"microservices"and"event driven"designs are data efficient and observability ready. Data Governance, Quality & Observability Implement"data governance"(policies, stewardship, data classification),"cataloging"(Glue Data Catalog),"lineage"(Open Lineage compatible), and"quality"(rules, thresholds, SLAs/SLOs). Embed"monitoring & cost governance"(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with"data minimization, tokenization, masking, and"access controls"across environments. Define secure patterns for"model inputs/outputs"(LLM safety),"prompt hygiene, and"guardrails"to prevent leakage or misuse. Delivery Leadership & Collaboration Produce"architecture blueprints, target state designs, and"build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead"design reviews,"threat modeling, and"cost/performance"reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of"engineering excellence"and"learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in"computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,"AWS Data Analytics/Solutions Architect preferred). 10+ years"designing and delivering enterprise data solutions, including"hands-on"work with both"traditional DBMS"and"cloud native"data platforms. 5+ years"building on cloud platforms"with production experience in several of:"S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing"data propagation Lakehouse"patterns and governance"at scale. Proven track record supporting"AI/ML"workloads (feature stores, model data pipelines) and delivering"RAG"solutions with vector search on AWS. Strong"SQL"and"Python; proficiency in"data modeling"-"IFC (preferred),"3NF, dimensional/star, data vault, etc. DBMS:"SQL Server,"PostgreSQL"(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:"Spark/EMR,"Glue"(ETL/ELT & Studio),"Airflow/Step Functions"orchestration," Parquet/Delta/Iceberg. Streaming/CDC:"MSK/Kinesis,"DMS"(change data capture),"event driven"patterns. Security & Governance:"IAM,"KMS,"Lake Formation,"Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:"Amazon Bedrock"(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,"prompt design,"token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,"cost controls"(storage/compute), workload rightsizing. DevOps/MLOps/IaC:"Git,"CI/CD"for data pipelines;"Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with"Redshift RA3/Spectrum,"materialized views,"workload management, and federated queries (Athena/Glue). Familiarity with"Power BI"/"Microsoft Fabric"and"Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies"(anonymization, differential privacy),"policy as code, and"guardrail"frameworks. Experience working with"geographically distributed teams"and"regulated data. Strategic thinking with the ability to balance short-term increments"and"long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
07/28/2026
Full time
Job Description Architect the Future of Enterprise Intelligence The"Senior Data Architect"provides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans"traditional data management"(DBMS, data modeling, warehousing, governance) and"modern cloud native/AI data engineering"on AWS, including"bronze, silver, gold patterns, Generation (RAG)"for LLMs, and data products that serve Cloud-native SaaS"application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into"target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as"S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.," Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement"row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via"IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and"feature/knowledge"layers to support"SageMaker"training/inference and"Amazon Bedrock"applications (e.g.,"Knowledge Bases,"Guardrails,"Agents, and Invoke Model/Converse orchestration). Lead"RAG"architectures (chunking, embeddings, retrieval) using"vector databases"such as"Amazon OpenSearch Serverless (vector search)"or"Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set"prompt, context, and token budget"standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:"SQL Server,"PostgreSQL,"MongoDB, including"schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern"EDW/ Lakehouse/ODS"patterns; integrate with".NET/C#"services and"Angular"frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define"API and data contract standards"(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for".NET/C#"and"Angular"consumers. Orchestrate ingestion from"SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,"MSK/Kinesis,"DMS,"Glue). Partner with Solution/Platform Architects to ensure"microservices"and"event driven"designs are data efficient and observability ready. Data Governance, Quality & Observability Implement"data governance"(policies, stewardship, data classification),"cataloging"(Glue Data Catalog),"lineage"(Open Lineage compatible), and"quality"(rules, thresholds, SLAs/SLOs). Embed"monitoring & cost governance"(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with"data minimization, tokenization, masking, and"access controls"across environments. Define secure patterns for"model inputs/outputs"(LLM safety),"prompt hygiene, and"guardrails"to prevent leakage or misuse. Delivery Leadership & Collaboration Produce"architecture blueprints, target state designs, and"build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead"design reviews,"threat modeling, and"cost/performance"reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of"engineering excellence"and"learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in"computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,"AWS Data Analytics/Solutions Architect preferred). 10+ years"designing and delivering enterprise data solutions, including"hands-on"work with both"traditional DBMS"and"cloud native"data platforms. 5+ years"building on cloud platforms"with production experience in several of:"S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing"data propagation Lakehouse"patterns and governance"at scale. Proven track record supporting"AI/ML"workloads (feature stores, model data pipelines) and delivering"RAG"solutions with vector search on AWS. Strong"SQL"and"Python; proficiency in"data modeling"-"IFC (preferred),"3NF, dimensional/star, data vault, etc. DBMS:"SQL Server,"PostgreSQL"(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:"Spark/EMR,"Glue"(ETL/ELT & Studio),"Airflow/Step Functions"orchestration," Parquet/Delta/Iceberg. Streaming/CDC:"MSK/Kinesis,"DMS"(change data capture),"event driven"patterns. Security & Governance:"IAM,"KMS,"Lake Formation,"Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:"Amazon Bedrock"(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,"prompt design,"token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,"cost controls"(storage/compute), workload rightsizing. DevOps/MLOps/IaC:"Git,"CI/CD"for data pipelines;"Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with"Redshift RA3/Spectrum,"materialized views,"workload management, and federated queries (Athena/Glue). Familiarity with"Power BI"/"Microsoft Fabric"and"Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies"(anonymization, differential privacy),"policy as code, and"guardrail"frameworks. Experience working with"geographically distributed teams"and"regulated data. Strategic thinking with the ability to balance short-term increments"and"long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
Job Description Architect the Future of Enterprise Intelligence The"Senior Data Architect"provides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans"traditional data management"(DBMS, data modeling, warehousing, governance) and"modern cloud native/AI data engineering"on AWS, including"bronze, silver, gold patterns, Generation (RAG)"for LLMs, and data products that serve Cloud-native SaaS"application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into"target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as"S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.," Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement"row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via"IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and"feature/knowledge"layers to support"SageMaker"training/inference and"Amazon Bedrock"applications (e.g.,"Knowledge Bases,"Guardrails,"Agents, and Invoke Model/Converse orchestration). Lead"RAG"architectures (chunking, embeddings, retrieval) using"vector databases"such as"Amazon OpenSearch Serverless (vector search)"or"Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set"prompt, context, and token budget"standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:"SQL Server,"PostgreSQL,"MongoDB, including"schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern"EDW/ Lakehouse/ODS"patterns; integrate with".NET/C#"services and"Angular"frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define"API and data contract standards"(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for".NET/C#"and"Angular"consumers. Orchestrate ingestion from"SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,"MSK/Kinesis,"DMS,"Glue). Partner with Solution/Platform Architects to ensure"microservices"and"event driven"designs are data efficient and observability ready. Data Governance, Quality & Observability Implement"data governance"(policies, stewardship, data classification),"cataloging"(Glue Data Catalog),"lineage"(Open Lineage compatible), and"quality"(rules, thresholds, SLAs/SLOs). Embed"monitoring & cost governance"(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with"data minimization, tokenization, masking, and"access controls"across environments. Define secure patterns for"model inputs/outputs"(LLM safety),"prompt hygiene, and"guardrails"to prevent leakage or misuse. Delivery Leadership & Collaboration Produce"architecture blueprints, target state designs, and"build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead"design reviews,"threat modeling, and"cost/performance"reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of"engineering excellence"and"learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in"computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,"AWS Data Analytics/Solutions Architect preferred). 10+ years"designing and delivering enterprise data solutions, including"hands-on"work with both"traditional DBMS"and"cloud native"data platforms. 5+ years"building on cloud platforms"with production experience in several of:"S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing"data propagation Lakehouse"patterns and governance"at scale. Proven track record supporting"AI/ML"workloads (feature stores, model data pipelines) and delivering"RAG"solutions with vector search on AWS. Strong"SQL"and"Python; proficiency in"data modeling"-"IFC (preferred),"3NF, dimensional/star, data vault, etc. DBMS:"SQL Server,"PostgreSQL"(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:"Spark/EMR,"Glue"(ETL/ELT & Studio),"Airflow/Step Functions"orchestration," Parquet/Delta/Iceberg. Streaming/CDC:"MSK/Kinesis,"DMS"(change data capture),"event driven"patterns. Security & Governance:"IAM,"KMS,"Lake Formation,"Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:"Amazon Bedrock"(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,"prompt design,"token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,"cost controls"(storage/compute), workload rightsizing. DevOps/MLOps/IaC:"Git,"CI/CD"for data pipelines;"Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with"Redshift RA3/Spectrum,"materialized views,"workload management, and federated queries (Athena/Glue). Familiarity with"Power BI"/"Microsoft Fabric"and"Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies"(anonymization, differential privacy),"policy as code, and"guardrail"frameworks. Experience working with"geographically distributed teams"and"regulated data. Strategic thinking with the ability to balance short-term increments"and"long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
07/28/2026
Full time
Job Description Architect the Future of Enterprise Intelligence The"Senior Data Architect"provides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans"traditional data management"(DBMS, data modeling, warehousing, governance) and"modern cloud native/AI data engineering"on AWS, including"bronze, silver, gold patterns, Generation (RAG)"for LLMs, and data products that serve Cloud-native SaaS"application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into"target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as"S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.," Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement"row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via"IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and"feature/knowledge"layers to support"SageMaker"training/inference and"Amazon Bedrock"applications (e.g.,"Knowledge Bases,"Guardrails,"Agents, and Invoke Model/Converse orchestration). Lead"RAG"architectures (chunking, embeddings, retrieval) using"vector databases"such as"Amazon OpenSearch Serverless (vector search)"or"Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set"prompt, context, and token budget"standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:"SQL Server,"PostgreSQL,"MongoDB, including"schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern"EDW/ Lakehouse/ODS"patterns; integrate with".NET/C#"services and"Angular"frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define"API and data contract standards"(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for".NET/C#"and"Angular"consumers. Orchestrate ingestion from"SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,"MSK/Kinesis,"DMS,"Glue). Partner with Solution/Platform Architects to ensure"microservices"and"event driven"designs are data efficient and observability ready. Data Governance, Quality & Observability Implement"data governance"(policies, stewardship, data classification),"cataloging"(Glue Data Catalog),"lineage"(Open Lineage compatible), and"quality"(rules, thresholds, SLAs/SLOs). Embed"monitoring & cost governance"(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with"data minimization, tokenization, masking, and"access controls"across environments. Define secure patterns for"model inputs/outputs"(LLM safety),"prompt hygiene, and"guardrails"to prevent leakage or misuse. Delivery Leadership & Collaboration Produce"architecture blueprints, target state designs, and"build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead"design reviews,"threat modeling, and"cost/performance"reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of"engineering excellence"and"learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in"computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,"AWS Data Analytics/Solutions Architect preferred). 10+ years"designing and delivering enterprise data solutions, including"hands-on"work with both"traditional DBMS"and"cloud native"data platforms. 5+ years"building on cloud platforms"with production experience in several of:"S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing"data propagation Lakehouse"patterns and governance"at scale. Proven track record supporting"AI/ML"workloads (feature stores, model data pipelines) and delivering"RAG"solutions with vector search on AWS. Strong"SQL"and"Python; proficiency in"data modeling"-"IFC (preferred),"3NF, dimensional/star, data vault, etc. DBMS:"SQL Server,"PostgreSQL"(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:"Spark/EMR,"Glue"(ETL/ELT & Studio),"Airflow/Step Functions"orchestration," Parquet/Delta/Iceberg. Streaming/CDC:"MSK/Kinesis,"DMS"(change data capture),"event driven"patterns. Security & Governance:"IAM,"KMS,"Lake Formation,"Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:"Amazon Bedrock"(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,"prompt design,"token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,"cost controls"(storage/compute), workload rightsizing. DevOps/MLOps/IaC:"Git,"CI/CD"for data pipelines;"Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with"Redshift RA3/Spectrum,"materialized views,"workload management, and federated queries (Athena/Glue). Familiarity with"Power BI"/"Microsoft Fabric"and"Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies"(anonymization, differential privacy),"policy as code, and"guardrail"frameworks. Experience working with"geographically distributed teams"and"regulated data. Strategic thinking with the ability to balance short-term increments"and"long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
Job Description Architect the Future of Enterprise Intelligence The"Senior Data Architect"provides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans"traditional data management"(DBMS, data modeling, warehousing, governance) and"modern cloud native/AI data engineering"on AWS, including"bronze, silver, gold patterns, Generation (RAG)"for LLMs, and data products that serve Cloud-native SaaS"application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into"target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as"S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.," Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement"row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via"IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and"feature/knowledge"layers to support"SageMaker"training/inference and"Amazon Bedrock"applications (e.g.,"Knowledge Bases,"Guardrails,"Agents, and Invoke Model/Converse orchestration). Lead"RAG"architectures (chunking, embeddings, retrieval) using"vector databases"such as"Amazon OpenSearch Serverless (vector search)"or"Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set"prompt, context, and token budget"standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:"SQL Server,"PostgreSQL,"MongoDB, including"schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern"EDW/ Lakehouse/ODS"patterns; integrate with".NET/C#"services and"Angular"frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define"API and data contract standards"(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for".NET/C#"and"Angular"consumers. Orchestrate ingestion from"SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,"MSK/Kinesis,"DMS,"Glue). Partner with Solution/Platform Architects to ensure"microservices"and"event driven"designs are data efficient and observability ready. Data Governance, Quality & Observability Implement"data governance"(policies, stewardship, data classification),"cataloging"(Glue Data Catalog),"lineage"(Open Lineage compatible), and"quality"(rules, thresholds, SLAs/SLOs). Embed"monitoring & cost governance"(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with"data minimization, tokenization, masking, and"access controls"across environments. Define secure patterns for"model inputs/outputs"(LLM safety),"prompt hygiene, and"guardrails"to prevent leakage or misuse. Delivery Leadership & Collaboration Produce"architecture blueprints, target state designs, and"build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead"design reviews,"threat modeling, and"cost/performance"reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of"engineering excellence"and"learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in"computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,"AWS Data Analytics/Solutions Architect preferred). 10+ years"designing and delivering enterprise data solutions, including"hands-on"work with both"traditional DBMS"and"cloud native"data platforms. 5+ years"building on cloud platforms"with production experience in several of:"S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing"data propagation Lakehouse"patterns and governance"at scale. Proven track record supporting"AI/ML"workloads (feature stores, model data pipelines) and delivering"RAG"solutions with vector search on AWS. Strong"SQL"and"Python; proficiency in"data modeling"-"IFC (preferred),"3NF, dimensional/star, data vault, etc. DBMS:"SQL Server,"PostgreSQL"(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:"Spark/EMR,"Glue"(ETL/ELT & Studio),"Airflow/Step Functions"orchestration," Parquet/Delta/Iceberg. Streaming/CDC:"MSK/Kinesis,"DMS"(change data capture),"event driven"patterns. Security & Governance:"IAM,"KMS,"Lake Formation,"Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:"Amazon Bedrock"(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,"prompt design,"token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,"cost controls"(storage/compute), workload rightsizing. DevOps/MLOps/IaC:"Git,"CI/CD"for data pipelines;"Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with"Redshift RA3/Spectrum,"materialized views,"workload management, and federated queries (Athena/Glue). Familiarity with"Power BI"/"Microsoft Fabric"and"Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies"(anonymization, differential privacy),"policy as code, and"guardrail"frameworks. Experience working with"geographically distributed teams"and"regulated data. Strategic thinking with the ability to balance short-term increments"and"long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
07/28/2026
Full time
Job Description Architect the Future of Enterprise Intelligence The"Senior Data Architect"provides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans"traditional data management"(DBMS, data modeling, warehousing, governance) and"modern cloud native/AI data engineering"on AWS, including"bronze, silver, gold patterns, Generation (RAG)"for LLMs, and data products that serve Cloud-native SaaS"application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into"target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as"S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g.," Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement"row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via"IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and"feature/knowledge"layers to support"SageMaker"training/inference and"Amazon Bedrock"applications (e.g.,"Knowledge Bases,"Guardrails,"Agents, and Invoke Model/Converse orchestration). Lead"RAG"architectures (chunking, embeddings, retrieval) using"vector databases"such as"Amazon OpenSearch Serverless (vector search)"or"Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set"prompt, context, and token budget"standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems:"SQL Server,"PostgreSQL,"MongoDB, including"schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern"EDW/ Lakehouse/ODS"patterns; integrate with".NET/C#"services and"Angular"frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define"API and data contract standards"(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for".NET/C#"and"Angular"consumers. Orchestrate ingestion from"SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,"MSK/Kinesis,"DMS,"Glue). Partner with Solution/Platform Architects to ensure"microservices"and"event driven"designs are data efficient and observability ready. Data Governance, Quality & Observability Implement"data governance"(policies, stewardship, data classification),"cataloging"(Glue Data Catalog),"lineage"(Open Lineage compatible), and"quality"(rules, thresholds, SLAs/SLOs). Embed"monitoring & cost governance"(CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with"data minimization, tokenization, masking, and"access controls"across environments. Define secure patterns for"model inputs/outputs"(LLM safety),"prompt hygiene, and"guardrails"to prevent leakage or misuse. Delivery Leadership & Collaboration Produce"architecture blueprints, target state designs, and"build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead"design reviews,"threat modeling, and"cost/performance"reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of"engineering excellence"and"learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in"computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g.,"AWS Data Analytics/Solutions Architect preferred). 10+ years"designing and delivering enterprise data solutions, including"hands-on"work with both"traditional DBMS"and"cloud native"data platforms. 5+ years"building on cloud platforms"with production experience in several of:"S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing"data propagation Lakehouse"patterns and governance"at scale. Proven track record supporting"AI/ML"workloads (feature stores, model data pipelines) and delivering"RAG"solutions with vector search on AWS. Strong"SQL"and"Python; proficiency in"data modeling"-"IFC (preferred),"3NF, dimensional/star, data vault, etc. DBMS:"SQL Server,"PostgreSQL"(schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering:"Spark/EMR,"Glue"(ETL/ELT & Studio),"Airflow/Step Functions"orchestration," Parquet/Delta/Iceberg. Streaming/CDC:"MSK/Kinesis,"DMS"(change data capture),"event driven"patterns. Security & Governance:"IAM,"KMS,"Lake Formation,"Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement:"Amazon Bedrock"(Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval,"prompt design,"token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs,"cost controls"(storage/compute), workload rightsizing. DevOps/MLOps/IaC:"Git,"CI/CD"for data pipelines;"Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with"Redshift RA3/Spectrum,"materialized views,"workload management, and federated queries (Athena/Glue). Familiarity with"Power BI"/"Microsoft Fabric"and"Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies"(anonymization, differential privacy),"policy as code, and"guardrail"frameworks. Experience working with"geographically distributed teams"and"regulated data. Strategic thinking with the ability to balance short-term increments"and"long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. What's In It for You We're a big company with a family-owned feel. You will be given the opportunity to make big changes that will ripple throughout the industry while feeling right at home with the Hilti family. In addition to a competitive base salary and bonus potential, we offer a robust benefits package including a generous paid time off policy that includes vacation, personal days, health & wellness, and 2 days per year to give back in your local community, paid family leave, educational reimbursement, 401(k) matching, medical/dental/vision coverage, and a variety of other benefits to fit the needs of our employees. Why Hilti Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we're driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you'll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you'll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. Commitment to Inclusion At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together. Hilti Inc is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Technical Manager - Systems Engineering Job Code: 38532 Job Location: Rochester, New York Job Schedule: 9/80 (Every Other Friday Off!) Job Description: The Technical Manager - Systems Engineering provides technical and organizational leadership for the development, integration, and delivery of complex defense and aerospace systems. This role includes leadership of a team of Chief Systems Engineers who drive systems engineering activities across the full system lifecycle, from concept development and requirements definition through integration, verification, validation, production transition, and sustainment support. This hybrid management / practitioner role also includes practice as a Systems Engineer responsible for managing teams supporting mission-critical programs while ensuring alignment with customer needs, contractual obligations, airworthiness or mission assurance expectations, and organizational objectives. The ideal candidate brings strong people leadership, deep systems thinking, and demonstrated success leading multidisciplinary engineering efforts in a highly regulated aerospace and defense environment. Essential Functions: • Lead, mentor, and develop a team of systems engineers supporting defense and aerospace programs, platforms, or technology initiatives. • Direct experience in a Lead systems engineer or Chief systems engineer role driving execution across the program lifecycle, including concept of operations, requirements analysis, system architecture, interface definition, integration, verification, validation, and operational support. • Ensure technical execution aligns with customer requirements, program cost and schedule constraints, mission performance objectives, and contract deliverables. • Oversee development and maintenance of system requirements, interface control documentation, verification traceability, and technical baselines. • Contribute directly to program performance leveraging technical expertise and experience to system architecture, design, implementation, test, integration and sustainment. • Lead root cause corrective action investigations, provides independent review team perspective, participate in non-advocate reviews. • Lead technical planning, risk management, trade studies, design decision support, and system-level problem resolution. • Support major program reviews and customer reviews, including SRR, PDR, CDR, TRR, PRR, and related milestone events. • Collaborate with program management, chief engineers, software, hardware, test, manufacturing, quality, supply chain, and field support teams to ensure integrated program execution. • Drive compliance with defense, aerospace, safety, quality, airworthiness, cybersecurity, and mission assurance requirements, as applicable. • Manage staffing, workload planning, performance management, employee development, and succession planning within the systems engineering organization. • Provide technical leadership for integration and test planning, requirements verification, anomaly resolution, and qualification activities. • Support proposal efforts, technical volume development, basis of estimate preparation, technology roadmaps, and capture activities for new business opportunities. • Identify and mitigate technical, programmatic, and integration risks across complex system-of-systems environments. • Promote continuous improvement in systems engineering processes, digital engineering practices, MBSE adoption, and technical rigor. • Serve as a key interface to customers, suppliers, subcontractors, and senior leadership on program status, technical issues, and strategic engineering matters. Qualifications: • Bachelor's Degree and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience. • 9+ years of progressive engineering experience, including significant systems engineering experience in defense, aerospace, avionics, mission systems, C4ISR, weapons, space, radar, communications, or other complex regulated environments. • 5+ years of leadership experience managing technical teams, engineering organizations, or major engineering work scopes. • Ability to obtain and a secret security clearance Preferred Additional Skills: • Experience supporting space systems programs. • Master's degree in Systems Engineering, Aerospace Engineering, Engineering Management, or a related discipline. • Active security clearance. • Familiarity with model-based systems engineering tools and methods. • Experience with requirements and lifecycle management tools such as DOORS or similar platforms. • Knowledge of digital engineering, simulation, system modeling, and mission-level analysis approaches. • Experience with military standards, aerospace standards, mission assurance practices, and airworthiness or certification processes, as applicable. • INCOSE certification, PMP certification, or other relevant engineering leadership credentials. • Experience supporting competitive captures, proposal strategy, technical solution development, and customer briefings. • Understanding of cybersecurity, system safety, reliability, maintainability, and human systems integration considerations in defense systems. • Demonstrated success leading teams through complex integration, test, and fielding activities. • Ability to balance strategic technical leadership with day-to-day execution in a fast-paced, high-consequence environment. • Demonstrated experience applying systems engineering processes across the full lifecycle of complex aerospace or defense systems. • Experience with requirements decomposition, functional analysis, architecture development, interface management, integration, verification, validation, and configuration control. • Experience leading cross-functional engineering teams in a matrixed program environment. • Strong knowledge of DoD, aerospace, or other regulated development frameworks, technical review processes, and program execution disciplines. • Experience with technical risk management, failure analysis, root cause investigation, and corrective action planning. • Strong communication and presentation skills, with the ability to engage effectively with customers, program leadership, and executive stakeholders. • Familiarity with classified or export-controlled environments and the ability to work within those constraints. In compliance with pay transparency requirements, the salary range for this role in New York is $110,500 - $205,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work . click apply for full job details
07/28/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Technical Manager - Systems Engineering Job Code: 38532 Job Location: Rochester, New York Job Schedule: 9/80 (Every Other Friday Off!) Job Description: The Technical Manager - Systems Engineering provides technical and organizational leadership for the development, integration, and delivery of complex defense and aerospace systems. This role includes leadership of a team of Chief Systems Engineers who drive systems engineering activities across the full system lifecycle, from concept development and requirements definition through integration, verification, validation, production transition, and sustainment support. This hybrid management / practitioner role also includes practice as a Systems Engineer responsible for managing teams supporting mission-critical programs while ensuring alignment with customer needs, contractual obligations, airworthiness or mission assurance expectations, and organizational objectives. The ideal candidate brings strong people leadership, deep systems thinking, and demonstrated success leading multidisciplinary engineering efforts in a highly regulated aerospace and defense environment. Essential Functions: • Lead, mentor, and develop a team of systems engineers supporting defense and aerospace programs, platforms, or technology initiatives. • Direct experience in a Lead systems engineer or Chief systems engineer role driving execution across the program lifecycle, including concept of operations, requirements analysis, system architecture, interface definition, integration, verification, validation, and operational support. • Ensure technical execution aligns with customer requirements, program cost and schedule constraints, mission performance objectives, and contract deliverables. • Oversee development and maintenance of system requirements, interface control documentation, verification traceability, and technical baselines. • Contribute directly to program performance leveraging technical expertise and experience to system architecture, design, implementation, test, integration and sustainment. • Lead root cause corrective action investigations, provides independent review team perspective, participate in non-advocate reviews. • Lead technical planning, risk management, trade studies, design decision support, and system-level problem resolution. • Support major program reviews and customer reviews, including SRR, PDR, CDR, TRR, PRR, and related milestone events. • Collaborate with program management, chief engineers, software, hardware, test, manufacturing, quality, supply chain, and field support teams to ensure integrated program execution. • Drive compliance with defense, aerospace, safety, quality, airworthiness, cybersecurity, and mission assurance requirements, as applicable. • Manage staffing, workload planning, performance management, employee development, and succession planning within the systems engineering organization. • Provide technical leadership for integration and test planning, requirements verification, anomaly resolution, and qualification activities. • Support proposal efforts, technical volume development, basis of estimate preparation, technology roadmaps, and capture activities for new business opportunities. • Identify and mitigate technical, programmatic, and integration risks across complex system-of-systems environments. • Promote continuous improvement in systems engineering processes, digital engineering practices, MBSE adoption, and technical rigor. • Serve as a key interface to customers, suppliers, subcontractors, and senior leadership on program status, technical issues, and strategic engineering matters. Qualifications: • Bachelor's Degree and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience. • 9+ years of progressive engineering experience, including significant systems engineering experience in defense, aerospace, avionics, mission systems, C4ISR, weapons, space, radar, communications, or other complex regulated environments. • 5+ years of leadership experience managing technical teams, engineering organizations, or major engineering work scopes. • Ability to obtain and a secret security clearance Preferred Additional Skills: • Experience supporting space systems programs. • Master's degree in Systems Engineering, Aerospace Engineering, Engineering Management, or a related discipline. • Active security clearance. • Familiarity with model-based systems engineering tools and methods. • Experience with requirements and lifecycle management tools such as DOORS or similar platforms. • Knowledge of digital engineering, simulation, system modeling, and mission-level analysis approaches. • Experience with military standards, aerospace standards, mission assurance practices, and airworthiness or certification processes, as applicable. • INCOSE certification, PMP certification, or other relevant engineering leadership credentials. • Experience supporting competitive captures, proposal strategy, technical solution development, and customer briefings. • Understanding of cybersecurity, system safety, reliability, maintainability, and human systems integration considerations in defense systems. • Demonstrated success leading teams through complex integration, test, and fielding activities. • Ability to balance strategic technical leadership with day-to-day execution in a fast-paced, high-consequence environment. • Demonstrated experience applying systems engineering processes across the full lifecycle of complex aerospace or defense systems. • Experience with requirements decomposition, functional analysis, architecture development, interface management, integration, verification, validation, and configuration control. • Experience leading cross-functional engineering teams in a matrixed program environment. • Strong knowledge of DoD, aerospace, or other regulated development frameworks, technical review processes, and program execution disciplines. • Experience with technical risk management, failure analysis, root cause investigation, and corrective action planning. • Strong communication and presentation skills, with the ability to engage effectively with customers, program leadership, and executive stakeholders. • Familiarity with classified or export-controlled environments and the ability to work within those constraints. In compliance with pay transparency requirements, the salary range for this role in New York is $110,500 - $205,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work . click apply for full job details
US AMR-Jones Lang LaSalle Americas, Inc.
Wilson, North Carolina
JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Senior Facility Manager - GxP Life Sciences What this job involves - The Senior Facility Manager serves as the strategic leader and primary point of contact for a manufacturing site facilities and occupants, acting as the principal service provider liaison and trusted advisor to senior client stakeholders. This role ensures the JLL team-including employees and third-party partners-delivers comprehensive facility management and workplace services that maintain safe, code-compliant, functional, comfortable, energy-efficient, and attractive facilities and site infrastructure across complex manufacturing operations. Also, provides strategic oversight of multi-site operating expense budgets, capital planning initiatives, and long-term facility roadmaps. This position manages gray area (GAP) maintenance projects and capital improvement programs per client specifications and timelines, while championing cost-competitive and resource-efficient delivery methods for both high-volume small-dollar projects and strategic capital initiatives. The role embeds a culture of safety, compliance, operational excellence, and continuous improvement across new and established manufacturing sites while mentoring and developing facility management teams. What your day-to-day will look like: Serve as senior Client Relationship Manager and strategic advisor to executive stakeholders across multiple manufacturing sites, developing long-term facility management strategies aligned with client business objectives and expansion plans. Champion a "Safety First" culture enterprise-wide while serving as senior compliance leader, ensuring rigorous adherence to all EHS, GxP, SLA, KPI, and regulatory requirements across JLL teams and vendor partners in GMP manufacturing environments. Provide strategic oversight of all IFM services including operations, maintenance, utilities, engineering, janitorial, laboratory services, security, waste management, and capital planning across the portfolio. Master multi-site contract scope and proactively manage service delivery to exceed commitments while identifying opportunities to enhance customer experience, drive cost savings, and lead vendor consolidation initiatives. Establish strategic site-level and portfolio goals with senior leadership, ensuring 100% on-time completion of critical preventive maintenance, training programs, and audit responses while driving continuous improvement. Champion sustainability initiatives including demand response programs, zero-waste initiatives, renewable energy adoption, and measurable environmental performance improvements. Build and lead high-performing facility management teams through strategic talent acquisition, development, mentorship, and succession planning while driving employee engagement and championing diversity and inclusion. Provide strategic oversight of multi-site operating expenses and capital budgets, conducting variance analysis, developing comprehensive annual budgets and multi-year capital plans, and documenting measurable ROI on all savings initiatives. Drive innovation and business development by identifying scope expansion opportunities, leading complex service transitions, championing new technologies, and mentoring junior managers in client relationship management. Represent JLL at industry forums, client executive meetings, and professional organizations while leading benchmarking initiatives and continuous improvement using Lean, Six Sigma, or operational excellence methodologies. Required Qualifications: 10+ years of progressive Life Sciences facility management experience with demonstrated leadership in GMP manufacturing environments. Proven track record of successfully establishing, scaling, and optimizing operations at multiple manufacturing sites. Extensive experience leading multi-site facility management operations with P&L responsibility exceeding $10M annually. Extensive experience developing and supporting compliant Environmental, Health, and Safety (EHS) training programs in regulated manufacturing environments. Comprehensive understanding of GxP, FDA, and regulatory requirements in Life Sciences manufacturing environments. Proven experience leading capital planning, major renovation projects, and facility expansion initiatives. Experience with CMMS systems, Building Automation Systems (BAS), and facility management technology platforms. Strategic vendor management experience including contract negotiations, performance management, and partnership development. Demonstrated track record of delivering exceptional internal and external customer service aligned with JLL's Client Focus value. Strong change management and organizational development capabilities. Proven ability to thrive in fast-paced, complex, and ambiguous environments. Executive presence with ability to represent JLL at the highest levels of client organizations. Preferred Qualifications: Bachelor's degree required; Advanced degree (MBA, Master's in Engineering Management, or related field) Professional certifications such as CFM (Certified Facility Manager), PMP (Project Management Professional), or equivalent Location: Wilson, NC (on-site) This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship. Location: On-site -Wilson, NC Job Tags: If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: 401(k) plan with matching company contributions Comprehensive Medical, Dental & Vision Care Paid parental leave at 100% of salary Paid Time Off and Company Holidays Early access to earned wages through Daily Pay At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement . For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here . Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. Accepting applications on an ongoing basis until candidate identified.
07/28/2026
Full time
JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Senior Facility Manager - GxP Life Sciences What this job involves - The Senior Facility Manager serves as the strategic leader and primary point of contact for a manufacturing site facilities and occupants, acting as the principal service provider liaison and trusted advisor to senior client stakeholders. This role ensures the JLL team-including employees and third-party partners-delivers comprehensive facility management and workplace services that maintain safe, code-compliant, functional, comfortable, energy-efficient, and attractive facilities and site infrastructure across complex manufacturing operations. Also, provides strategic oversight of multi-site operating expense budgets, capital planning initiatives, and long-term facility roadmaps. This position manages gray area (GAP) maintenance projects and capital improvement programs per client specifications and timelines, while championing cost-competitive and resource-efficient delivery methods for both high-volume small-dollar projects and strategic capital initiatives. The role embeds a culture of safety, compliance, operational excellence, and continuous improvement across new and established manufacturing sites while mentoring and developing facility management teams. What your day-to-day will look like: Serve as senior Client Relationship Manager and strategic advisor to executive stakeholders across multiple manufacturing sites, developing long-term facility management strategies aligned with client business objectives and expansion plans. Champion a "Safety First" culture enterprise-wide while serving as senior compliance leader, ensuring rigorous adherence to all EHS, GxP, SLA, KPI, and regulatory requirements across JLL teams and vendor partners in GMP manufacturing environments. Provide strategic oversight of all IFM services including operations, maintenance, utilities, engineering, janitorial, laboratory services, security, waste management, and capital planning across the portfolio. Master multi-site contract scope and proactively manage service delivery to exceed commitments while identifying opportunities to enhance customer experience, drive cost savings, and lead vendor consolidation initiatives. Establish strategic site-level and portfolio goals with senior leadership, ensuring 100% on-time completion of critical preventive maintenance, training programs, and audit responses while driving continuous improvement. Champion sustainability initiatives including demand response programs, zero-waste initiatives, renewable energy adoption, and measurable environmental performance improvements. Build and lead high-performing facility management teams through strategic talent acquisition, development, mentorship, and succession planning while driving employee engagement and championing diversity and inclusion. Provide strategic oversight of multi-site operating expenses and capital budgets, conducting variance analysis, developing comprehensive annual budgets and multi-year capital plans, and documenting measurable ROI on all savings initiatives. Drive innovation and business development by identifying scope expansion opportunities, leading complex service transitions, championing new technologies, and mentoring junior managers in client relationship management. Represent JLL at industry forums, client executive meetings, and professional organizations while leading benchmarking initiatives and continuous improvement using Lean, Six Sigma, or operational excellence methodologies. Required Qualifications: 10+ years of progressive Life Sciences facility management experience with demonstrated leadership in GMP manufacturing environments. Proven track record of successfully establishing, scaling, and optimizing operations at multiple manufacturing sites. Extensive experience leading multi-site facility management operations with P&L responsibility exceeding $10M annually. Extensive experience developing and supporting compliant Environmental, Health, and Safety (EHS) training programs in regulated manufacturing environments. Comprehensive understanding of GxP, FDA, and regulatory requirements in Life Sciences manufacturing environments. Proven experience leading capital planning, major renovation projects, and facility expansion initiatives. Experience with CMMS systems, Building Automation Systems (BAS), and facility management technology platforms. Strategic vendor management experience including contract negotiations, performance management, and partnership development. Demonstrated track record of delivering exceptional internal and external customer service aligned with JLL's Client Focus value. Strong change management and organizational development capabilities. Proven ability to thrive in fast-paced, complex, and ambiguous environments. Executive presence with ability to represent JLL at the highest levels of client organizations. Preferred Qualifications: Bachelor's degree required; Advanced degree (MBA, Master's in Engineering Management, or related field) Professional certifications such as CFM (Certified Facility Manager), PMP (Project Management Professional), or equivalent Location: Wilson, NC (on-site) This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship. Location: On-site -Wilson, NC Job Tags: If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: 401(k) plan with matching company contributions Comprehensive Medical, Dental & Vision Care Paid parental leave at 100% of salary Paid Time Off and Company Holidays Early access to earned wages through Daily Pay At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement . For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here . Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. Accepting applications on an ongoing basis until candidate identified.
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services (AWS) Hardware Engineering team creates compute and storage server designs for Amazon's web services. Our engineers work with leading edge technologies, solve challenging problems, influence the industry's roadmaps, and develop new and unique solutions that are ahead of the pack. We work in an environment that fosters innovation and creativity. We encourage and invest in new directions and new ideas that will serve our customers better. We sometimes fail, but we learn from such failures and we improve. It is because of the team and our constant focus on the customers, that we are able to develop creative and new designs that set the standards on performance, quality, cost, and operational excellence. What you will do: As a member of the Server Hardware Engineering team you will own and lead the design and development of server products utilizing a wide range of design and manufacturing partners. You will work closely with our customers to understand their technical needs and business goals, leveraging your experience with server design and the knowledge of various teams to architect the solutions that we will deploy at scale. To deliver your products you will work with an interdisciplinary team of component, firmware, test, qualification, and integration engineers, and lead our design and manufacturing partners to bring these servers to the data center. After launch you will oversee the fleet of servers you develop, monitoring their quality and how they are meeting the customer requirements. This is a fast-paced, intellectually challenging position, and you'll work with thought leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your products' performance, quality, and cost. We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. Why you will love it: You will work directly with a talented team of engineers and product owners across the company to create next-generation hardware. You will have a direct impact on your customer's success, drive the development of the Cloud, and have a meaningful impact on Amazon's success. You will be part of a growing, fast paced, and fun team. Key job responsibilities - Lead technical solutions for complex compute, storage and/or accelerator server and rack system architectural challenges - Own end-to-end system reliability, proactively identifying and resolving deficiencies before customer impact - Design and implement solutions to address system-level issues at large scale - Decompose complex server system problems (testability, reliability, diagnostics) into deliverable tasks and features - Apply expertise across hardware, software, system design, x86 architecture, processes, and operations - Collaborate with hardware, software, manufacturing, supply chain and product management teams - Develop and implement diagnostic tools and monitoring solutions for production systems - Debug complex system failures in time sensitive settings About the team Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Amazon Web Services (AWS) values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Experience in developing functional specifications, design verification plans and functional test procedures - Experience in server technologies such as, thermal, mechanical, power, and signal integrity - Bachelors degree in Electrical/Computer Engineering or equivalent - 5+ years experience with design and manufacturing processes - 5+ years experience leading ODMs and other suppliers in the product development and manufacturing processes - In depth expertise in one or more server technologies such as Thermal / Mechanical design, high speed bus design and signal integrity, failure analysis, server components (e.g. CPU, NIC, FPGA, GPU, SSDs, drives), BIOS, BMC, and networking - Excellent written and oral communication skills PREFERRED QUALIFICATIONS - Master's degree in electrical engineering, computer engineering, or equivalent - Experience working with interdisciplinary teams to execute product design from concept to production - 10+ years years hardware development with a focus on system / server development in compute and/or storage server architecture and design for large scale applications - Expertise in early product definition and feature tradeoff analysis - Experience with server validation and issue root causing - Experience with deploying and operating hardware and applications across large data centers - Proficient scripting, debug abilities, and Linux operations commands - Experience with leading hardware and software development engineering teams Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 183 600.00 USD annually
07/27/2026
Full time
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services (AWS) Hardware Engineering team creates compute and storage server designs for Amazon's web services. Our engineers work with leading edge technologies, solve challenging problems, influence the industry's roadmaps, and develop new and unique solutions that are ahead of the pack. We work in an environment that fosters innovation and creativity. We encourage and invest in new directions and new ideas that will serve our customers better. We sometimes fail, but we learn from such failures and we improve. It is because of the team and our constant focus on the customers, that we are able to develop creative and new designs that set the standards on performance, quality, cost, and operational excellence. What you will do: As a member of the Server Hardware Engineering team you will own and lead the design and development of server products utilizing a wide range of design and manufacturing partners. You will work closely with our customers to understand their technical needs and business goals, leveraging your experience with server design and the knowledge of various teams to architect the solutions that we will deploy at scale. To deliver your products you will work with an interdisciplinary team of component, firmware, test, qualification, and integration engineers, and lead our design and manufacturing partners to bring these servers to the data center. After launch you will oversee the fleet of servers you develop, monitoring their quality and how they are meeting the customer requirements. This is a fast-paced, intellectually challenging position, and you'll work with thought leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your products' performance, quality, and cost. We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. Why you will love it: You will work directly with a talented team of engineers and product owners across the company to create next-generation hardware. You will have a direct impact on your customer's success, drive the development of the Cloud, and have a meaningful impact on Amazon's success. You will be part of a growing, fast paced, and fun team. Key job responsibilities - Lead technical solutions for complex compute, storage and/or accelerator server and rack system architectural challenges - Own end-to-end system reliability, proactively identifying and resolving deficiencies before customer impact - Design and implement solutions to address system-level issues at large scale - Decompose complex server system problems (testability, reliability, diagnostics) into deliverable tasks and features - Apply expertise across hardware, software, system design, x86 architecture, processes, and operations - Collaborate with hardware, software, manufacturing, supply chain and product management teams - Develop and implement diagnostic tools and monitoring solutions for production systems - Debug complex system failures in time sensitive settings About the team Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Amazon Web Services (AWS) values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Experience in developing functional specifications, design verification plans and functional test procedures - Experience in server technologies such as, thermal, mechanical, power, and signal integrity - Bachelors degree in Electrical/Computer Engineering or equivalent - 5+ years experience with design and manufacturing processes - 5+ years experience leading ODMs and other suppliers in the product development and manufacturing processes - In depth expertise in one or more server technologies such as Thermal / Mechanical design, high speed bus design and signal integrity, failure analysis, server components (e.g. CPU, NIC, FPGA, GPU, SSDs, drives), BIOS, BMC, and networking - Excellent written and oral communication skills PREFERRED QUALIFICATIONS - Master's degree in electrical engineering, computer engineering, or equivalent - Experience working with interdisciplinary teams to execute product design from concept to production - 10+ years years hardware development with a focus on system / server development in compute and/or storage server architecture and design for large scale applications - Expertise in early product definition and feature tradeoff analysis - Experience with server validation and issue root causing - Experience with deploying and operating hardware and applications across large data centers - Proficient scripting, debug abilities, and Linux operations commands - Experience with leading hardware and software development engineering teams Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 183 600.00 USD annually
About the Role & Team At Disney Consumer Products, we inspire imagination around the world and are committed to creating happiness for families and fans by bringing captivating, inspiring, and inclusive products into their daily lives. From toys to t-shirts, console games, books, and more, our team brings our beloved brands and franchises into the lives of families through products and experiences that can be found worldwide, such as the Disney Store e-commerce platform, Disney Parks, local and international retailers, and Disney Store locations around the world. The Senior Manager, Store Design is a knowledgeable specialist and strategic leader responsible for the end-to-end design and delivery of retail environments across Walt Disney Parks, Resorts, and Disney Signature Experiences, ensuring every space reflects Disney's storytelling, brand standards, and guest-centric excellence in our theme parks, resorts, cruise, vacation, travel, and retail destinations. This is a Full-Time role You will report to the Director, Store Design & Development What You Will Do In this management role, you will lead multiple related store design teams, guiding concept development, design execution, and project delivery for retail locations that support Walt Disney World and special locations creative, guest-focused, and consumer-driven business. You will set departmental strategies and priorities, allocate resources, and partner across operations, merchandising, facilities, and external vendors to deliver innovative, on-brand environments that elevate the guest and consumer experience. This role matters because it connects design vision to business goals, requiring a strategic, collaborative, detail-oriented leader who can mentor others, manage complexity, and drive results in a fast-paced, multi-project environment. Lead and manage day-to-day store design activities from concept through project completion, ensuring alignment with business goals, brand standards, and operational needs. Oversee the creation of design concepts, store layouts, finish selections, fixture design, and visual storytelling elements that bring Disney stories to life in retail environments. Provide leadership, coaching, and development to the Store Design & Development team, fostering collaboration, accountability, and an inclusive, team-oriented culture. Review, interpret, and provide direction on architectural drawings, engineering documents, and vendor shop drawings to ensure accuracy, adherence to design intent, and compliance with codes and standards. Drive project management excellence by managing multiple concurrent projects, ensuring deliverables meet established timelines, budgets, and quality expectations in fast-paced environments. Monitor and manage all design milestones and deliverables, proactively identifying risks and implementing solutions to maintain project momentum and schedule integrity. Resolve design issues quickly during construction and build-out phases, partnering with internal and external teams to protect design intent and guest experience. Lead cross-functional meetings to align design direction, communicate changes, and ensure seamless coordination across partners and stakeholders. Represent Store Design as the subject matter expert in internal and external forums, providing guidance, recommendations, and design leadership while influencing without direct authority. Build strong, collaborative relationships with partners across Operations, Merchandising, Facilities, Architecture & Engineering, and external vendors to support shared objectives and guest-focused outcomes. Contribute to departmental innovation by supporting pilot programs, process improvements, and new design initiatives that enhance creative, consumer, and operational performance. Ensure all projects reflect Disney's commitment to quality, storytelling, and exceptional guest experience across theme parks, resorts, cruise, and retail locations. Define strategies, expectations, and priorities that connect team responsibilities to company-wide goals, empowering teams to pursue solutions for both immediate and future challenges. Required Qualifications & Skills: Minimum 8+ years of experience in retail design, store planning, or related architectural design roles including branded architecture or experiential design, with a major retail company or top design agency. 3+ years of management experience leading professional design teams. Strong proficiency in reading and interpreting architectural and engineering documents, shop drawings, and specifications. Deep knowledge of building codes, retail design standards, and construction processes for store environments. Ability to communicate design concepts visually and verbally to leadership and cross-functional partners, including executive stakeholders. Proven ability to manage multiple fast-paced projects with strict adherence to budget, schedule, and quality requirements. Demonstrated success working within cross-functional teams and influencing without authority in a collaborative, team-oriented environment. Proficiency in Microsoft Office applications (Excel, Word, Project). Proficiency in 3D rendering and visualization tools and familiarity with CAD-based workflows. Strong organizational, analytical, and creative problem-solving skills; results-oriented, self-motivated, and able to operate independently while escalating appropriately. Preferred Qualifications: Experience in leadership roles within multi-unit or experiential retail environments such as theme parks, resorts, cruise, or destination retail. Expert skills in 3D modeling, CAD, and rendering tools (e.g., SketchUp, Rhino, 3DS, Enscape, VRay) and familiarity with Adobe Creative Suite for environmental and retail graphics. Education: Bachelor's Degree in Architecture, Interior Design, Construction Project Management, or related field with emphasis on retail or experiential environments preferred Additional Information: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities, and special extras that only Disney can provide. Learn more about our benefits and perks at . The hiring range for this position in Florida is $132,600 to $177,700 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
07/27/2026
Full time
About the Role & Team At Disney Consumer Products, we inspire imagination around the world and are committed to creating happiness for families and fans by bringing captivating, inspiring, and inclusive products into their daily lives. From toys to t-shirts, console games, books, and more, our team brings our beloved brands and franchises into the lives of families through products and experiences that can be found worldwide, such as the Disney Store e-commerce platform, Disney Parks, local and international retailers, and Disney Store locations around the world. The Senior Manager, Store Design is a knowledgeable specialist and strategic leader responsible for the end-to-end design and delivery of retail environments across Walt Disney Parks, Resorts, and Disney Signature Experiences, ensuring every space reflects Disney's storytelling, brand standards, and guest-centric excellence in our theme parks, resorts, cruise, vacation, travel, and retail destinations. This is a Full-Time role You will report to the Director, Store Design & Development What You Will Do In this management role, you will lead multiple related store design teams, guiding concept development, design execution, and project delivery for retail locations that support Walt Disney World and special locations creative, guest-focused, and consumer-driven business. You will set departmental strategies and priorities, allocate resources, and partner across operations, merchandising, facilities, and external vendors to deliver innovative, on-brand environments that elevate the guest and consumer experience. This role matters because it connects design vision to business goals, requiring a strategic, collaborative, detail-oriented leader who can mentor others, manage complexity, and drive results in a fast-paced, multi-project environment. Lead and manage day-to-day store design activities from concept through project completion, ensuring alignment with business goals, brand standards, and operational needs. Oversee the creation of design concepts, store layouts, finish selections, fixture design, and visual storytelling elements that bring Disney stories to life in retail environments. Provide leadership, coaching, and development to the Store Design & Development team, fostering collaboration, accountability, and an inclusive, team-oriented culture. Review, interpret, and provide direction on architectural drawings, engineering documents, and vendor shop drawings to ensure accuracy, adherence to design intent, and compliance with codes and standards. Drive project management excellence by managing multiple concurrent projects, ensuring deliverables meet established timelines, budgets, and quality expectations in fast-paced environments. Monitor and manage all design milestones and deliverables, proactively identifying risks and implementing solutions to maintain project momentum and schedule integrity. Resolve design issues quickly during construction and build-out phases, partnering with internal and external teams to protect design intent and guest experience. Lead cross-functional meetings to align design direction, communicate changes, and ensure seamless coordination across partners and stakeholders. Represent Store Design as the subject matter expert in internal and external forums, providing guidance, recommendations, and design leadership while influencing without direct authority. Build strong, collaborative relationships with partners across Operations, Merchandising, Facilities, Architecture & Engineering, and external vendors to support shared objectives and guest-focused outcomes. Contribute to departmental innovation by supporting pilot programs, process improvements, and new design initiatives that enhance creative, consumer, and operational performance. Ensure all projects reflect Disney's commitment to quality, storytelling, and exceptional guest experience across theme parks, resorts, cruise, and retail locations. Define strategies, expectations, and priorities that connect team responsibilities to company-wide goals, empowering teams to pursue solutions for both immediate and future challenges. Required Qualifications & Skills: Minimum 8+ years of experience in retail design, store planning, or related architectural design roles including branded architecture or experiential design, with a major retail company or top design agency. 3+ years of management experience leading professional design teams. Strong proficiency in reading and interpreting architectural and engineering documents, shop drawings, and specifications. Deep knowledge of building codes, retail design standards, and construction processes for store environments. Ability to communicate design concepts visually and verbally to leadership and cross-functional partners, including executive stakeholders. Proven ability to manage multiple fast-paced projects with strict adherence to budget, schedule, and quality requirements. Demonstrated success working within cross-functional teams and influencing without authority in a collaborative, team-oriented environment. Proficiency in Microsoft Office applications (Excel, Word, Project). Proficiency in 3D rendering and visualization tools and familiarity with CAD-based workflows. Strong organizational, analytical, and creative problem-solving skills; results-oriented, self-motivated, and able to operate independently while escalating appropriately. Preferred Qualifications: Experience in leadership roles within multi-unit or experiential retail environments such as theme parks, resorts, cruise, or destination retail. Expert skills in 3D modeling, CAD, and rendering tools (e.g., SketchUp, Rhino, 3DS, Enscape, VRay) and familiarity with Adobe Creative Suite for environmental and retail graphics. Education: Bachelor's Degree in Architecture, Interior Design, Construction Project Management, or related field with emphasis on retail or experiential environments preferred Additional Information: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities, and special extras that only Disney can provide. Learn more about our benefits and perks at . The hiring range for this position in Florida is $132,600 to $177,700 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Senior Lead AI Engineer (FM Hosting, LLM Inference) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Senior Lead AI Engineer (FM Hosting, LLM Inference) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Senior Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Senior Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
