Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI)Overview Lead 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 4 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 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 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, delivering, and supporting AI services 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 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: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Richmond, VA: $179,400 - $204,700 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for 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).
07/22/2026
Full time
Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI)Overview Lead 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 4 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 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 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, delivering, and supporting AI services 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 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: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Richmond, VA: $179,400 - $204,700 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for 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).
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: Specialist, Model-Based Systems Engineer (MBSE) Job Code: 39006 Job Location: Melbourne, FL Work Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: L3 Harris Technologies Mission Networks Division is seeking a Senior Specialist, Model-Based Systems Engineer (MBSE), to support a funded, multi-year Internal Research and Development (IRAD) effort. This role supports the application of Agile Systems Engineering and SAFe-based practices to advance innovative solutions for commercial FAA-related mission-critical infrastructure and services. This candidate is Systems Engineer who leverages MBSE as an output of good Systems Engineering practices. The selected candidate will lead the development, analysis, and maintenance of SysML-based system models, with emphasis on system architecture, interface definition, requirements traceability, and cross-disciplinary integration. This is an on-site position requiring hands-on proficiency with Cameo Systems Modeler and strong collaboration across software, security, test, and systems engineering teams. Essential Functions: Perform system analysis activities including scope definition, problem analysis, requirements elicitation, and requirements development. Develop, maintain, and update SysML models to support system architecture, behavior, structure, interfaces, and integration. Create architecture and data models using SysML and related modeling frameworks, as appropriate. Produce model-derived outputs and reports, including artifacts such as CONOPS and other technical documentation. Support software-centric system development through model-based systems engineering methods and tools. Participate in Agile planning, reviews, and technical assessments across the system development lifecycle. Facilitate technical exchange meetings with stakeholders and support alignment of model content with program objectives. Collaborate across engineering disciplines and with internal and external stakeholders to ensure technical consistency, design quality, and mission alignment. Work closely with software, security, and test teams to maintain alignment between requirements, architecture, design, and verification activities. Contributes to the execution of the IRAD technical roadmap through disciplined model development and systems engineering rigor. Works under minimal supervision and is expected to operate independently within established technical objectives and program priorities. Other duties may be assigned. Ability to obtain US Security Clearance. Qualifications: Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. Preferred Additional Skills: 5 years of direct experience in Model-Based Systems Engineering (MBSE) using SysML and Cameo Systems Modeler. 4 years of experience across multiple phases of the Systems Development Life Cycle (SDLC), including requirements analysis, design, development, integration, test, implementation, documentation, and evaluation. Experience developing and applying all nine SysML diagram types in support of system analysis and design. Experience using Cameo Systems Modeler tool suite, including Teamwork Cloud. Proficiency in scripting or automating functions within Cameo Systems Modeler. Experience generating model-based reports and technical outputs directly from MBSE environments. Familiarity with Unified Architecture Framework (UAF) or related architecture modeling frameworks. Knowledge of current and emerging FAA architecture and operating environments. Experience supporting operational analysis, architectural decomposition, and requirements development at multiple levels of detail. Experience with requirements management tools such as Jama Connect. Experience presenting MBSE approaches, models, and technical findings to customers and stakeholders during reviews and technical exchange meetings. Strong written and verbal communication skills. Strong analytical and problem-solving skills, with attention to detail and a proactive work ethic. Ability to work effectively both independently and in a collaborative team environment. Familiarity with INCOSE Systems Engineering Professional certification frameworks; CSEP knowledge or certification is a plus. 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.
07/22/2026
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: Specialist, Model-Based Systems Engineer (MBSE) Job Code: 39006 Job Location: Melbourne, FL Work Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: L3 Harris Technologies Mission Networks Division is seeking a Senior Specialist, Model-Based Systems Engineer (MBSE), to support a funded, multi-year Internal Research and Development (IRAD) effort. This role supports the application of Agile Systems Engineering and SAFe-based practices to advance innovative solutions for commercial FAA-related mission-critical infrastructure and services. This candidate is Systems Engineer who leverages MBSE as an output of good Systems Engineering practices. The selected candidate will lead the development, analysis, and maintenance of SysML-based system models, with emphasis on system architecture, interface definition, requirements traceability, and cross-disciplinary integration. This is an on-site position requiring hands-on proficiency with Cameo Systems Modeler and strong collaboration across software, security, test, and systems engineering teams. Essential Functions: Perform system analysis activities including scope definition, problem analysis, requirements elicitation, and requirements development. Develop, maintain, and update SysML models to support system architecture, behavior, structure, interfaces, and integration. Create architecture and data models using SysML and related modeling frameworks, as appropriate. Produce model-derived outputs and reports, including artifacts such as CONOPS and other technical documentation. Support software-centric system development through model-based systems engineering methods and tools. Participate in Agile planning, reviews, and technical assessments across the system development lifecycle. Facilitate technical exchange meetings with stakeholders and support alignment of model content with program objectives. Collaborate across engineering disciplines and with internal and external stakeholders to ensure technical consistency, design quality, and mission alignment. Work closely with software, security, and test teams to maintain alignment between requirements, architecture, design, and verification activities. Contributes to the execution of the IRAD technical roadmap through disciplined model development and systems engineering rigor. Works under minimal supervision and is expected to operate independently within established technical objectives and program priorities. Other duties may be assigned. Ability to obtain US Security Clearance. Qualifications: Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. Preferred Additional Skills: 5 years of direct experience in Model-Based Systems Engineering (MBSE) using SysML and Cameo Systems Modeler. 4 years of experience across multiple phases of the Systems Development Life Cycle (SDLC), including requirements analysis, design, development, integration, test, implementation, documentation, and evaluation. Experience developing and applying all nine SysML diagram types in support of system analysis and design. Experience using Cameo Systems Modeler tool suite, including Teamwork Cloud. Proficiency in scripting or automating functions within Cameo Systems Modeler. Experience generating model-based reports and technical outputs directly from MBSE environments. Familiarity with Unified Architecture Framework (UAF) or related architecture modeling frameworks. Knowledge of current and emerging FAA architecture and operating environments. Experience supporting operational analysis, architectural decomposition, and requirements development at multiple levels of detail. Experience with requirements management tools such as Jama Connect. Experience presenting MBSE approaches, models, and technical findings to customers and stakeholders during reviews and technical exchange meetings. Strong written and verbal communication skills. Strong analytical and problem-solving skills, with attention to detail and a proactive work ethic. Ability to work effectively both independently and in a collaborative team environment. Familiarity with INCOSE Systems Engineering Professional certification frameworks; CSEP knowledge or certification is a plus. 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.
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 Specialist, Program Scheduler Job Code: 39982 Job Location: Salt Lake City, UT; Melbourne, FL; Carlsbad, CA Schedule: 9/80 - (work 9 out of every 14 days totaling 80 hours worked and have every other Friday off) Job Description: L3Harris is looking for an experienced Program Planner/Scheduler who will be part of the Program Planning and Scheduling Department supporting various programs. Success in this role requires in-depth knowledge of Program Life Cycles to develop networked models in Microsoft Project Server from requirements documentation, bases of estimates, and execution team inputs. Duties include the development and maintenance of complex resource loaded program schedules to support Critical Path analysis and the Earned Value Management System and supporting Program Management required analysis and reporting. This individual will interface with all elements of the program team to develop Integrated Master Schedules, complete regular maintenance of the schedule, and provide analysis and reports as needed to support Program Management and Leadership decision making. Essential Functions: Utilize standard industry tools and techniques for the creation of Integrated Master Schedules that will reflect the technical approach and execution plan, contract Statement of Work and data requirements, critical materials detail, traceability to the work breakdown structure, resource loading traceable to BOEs, and enable the capability to perform critical path analysis for complex development and production programs, with the primary tool being Microsoft Project Server. Analyze and review subcontractor schedules and integrate them as subordinate schedules into the IMS. Analyze schedule for project critical path and advise management of changes to the critical path and projected milestone achievement performance. Coordinate with Control Account Managers (CAM) and cross functional Integrated Product Team (IPT) members in the development, maintenance, and analysis of the schedule data that reflects their work scope. Obtain and analyze data and status from affected organizations to prepare, update, and disseminate periodic project status reports. Perform analysis of IMS for performance to plan variance and support corrective action to improve scheduling and planning processes. Work within a team environment to provide insights into program scheduling trends and best practices to assist program teams with formulating achievable program schedules. Perform Monte Carlo Schedule Risk Assessment (SRA) on key programs as part of standard work. Required Qualifications: Bachelor's Degree and minimum 6 years of prior relevant experience or Graduate Degree and a minimum of 4 years of prior related experience (In lieu of a degree, minimum of 10 years of prior related experience) Experience with industry standards (ANSI-748C), DoD EVMS Guidelines, Integrated Product & Process Development (IPPD), and Integrated Program Management Data & Analysis Report (IPMDAR). Preferred Additional Skills: Significant experience with MS Project and/or MS Project Server. Prior Experience in engineering and operations/manufacturing environment. Military contractor / Aerospace & Defense industry background. Strong analytical, problem solving and organizational skills. Knowledge of engineering processes, principles, and practice. Knowledge of risk management concepts and risk analysis related to master schedules. The ability to communicate well, both verbally and written. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $82,500 - $153,000. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, and Vermont is $71,5000 - $132,500. 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.
07/22/2026
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 Specialist, Program Scheduler Job Code: 39982 Job Location: Salt Lake City, UT; Melbourne, FL; Carlsbad, CA Schedule: 9/80 - (work 9 out of every 14 days totaling 80 hours worked and have every other Friday off) Job Description: L3Harris is looking for an experienced Program Planner/Scheduler who will be part of the Program Planning and Scheduling Department supporting various programs. Success in this role requires in-depth knowledge of Program Life Cycles to develop networked models in Microsoft Project Server from requirements documentation, bases of estimates, and execution team inputs. Duties include the development and maintenance of complex resource loaded program schedules to support Critical Path analysis and the Earned Value Management System and supporting Program Management required analysis and reporting. This individual will interface with all elements of the program team to develop Integrated Master Schedules, complete regular maintenance of the schedule, and provide analysis and reports as needed to support Program Management and Leadership decision making. Essential Functions: Utilize standard industry tools and techniques for the creation of Integrated Master Schedules that will reflect the technical approach and execution plan, contract Statement of Work and data requirements, critical materials detail, traceability to the work breakdown structure, resource loading traceable to BOEs, and enable the capability to perform critical path analysis for complex development and production programs, with the primary tool being Microsoft Project Server. Analyze and review subcontractor schedules and integrate them as subordinate schedules into the IMS. Analyze schedule for project critical path and advise management of changes to the critical path and projected milestone achievement performance. Coordinate with Control Account Managers (CAM) and cross functional Integrated Product Team (IPT) members in the development, maintenance, and analysis of the schedule data that reflects their work scope. Obtain and analyze data and status from affected organizations to prepare, update, and disseminate periodic project status reports. Perform analysis of IMS for performance to plan variance and support corrective action to improve scheduling and planning processes. Work within a team environment to provide insights into program scheduling trends and best practices to assist program teams with formulating achievable program schedules. Perform Monte Carlo Schedule Risk Assessment (SRA) on key programs as part of standard work. Required Qualifications: Bachelor's Degree and minimum 6 years of prior relevant experience or Graduate Degree and a minimum of 4 years of prior related experience (In lieu of a degree, minimum of 10 years of prior related experience) Experience with industry standards (ANSI-748C), DoD EVMS Guidelines, Integrated Product & Process Development (IPPD), and Integrated Program Management Data & Analysis Report (IPMDAR). Preferred Additional Skills: Significant experience with MS Project and/or MS Project Server. Prior Experience in engineering and operations/manufacturing environment. Military contractor / Aerospace & Defense industry background. Strong analytical, problem solving and organizational skills. Knowledge of engineering processes, principles, and practice. Knowledge of risk management concepts and risk analysis related to master schedules. The ability to communicate well, both verbally and written. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $82,500 - $153,000. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, and Vermont is $71,5000 - $132,500. 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.
Salary Range: Salary commensurate with experience and qualifications About SMU SMU's more than 12,000 diverse, high-achieving students come from all 50 states and over 80 countries to take advantage of the University's small classes, meaningful research opportunities, leadership development, community service, international study and innovative programs. SMU serves approximately 7,000 undergraduates and 5,000 graduate students through eight degree-granting schools: Dedman College of Humanities and Sciences, Cox School of Business, Lyle School of Engineering, Meadows School of the Arts, Simmons School of Education and Human Development, Dedman School of Law, Perkins School of Theology and Moody School of Graduate and Advanced Studies. SMU is data driven, and its powerful supercomputing ecosystem - paired with entrepreneurial drive - creates an unrivaled environment for the University to deliver research excellence. Now in its second century of achievement, SMU is recognized for the ways it supports students, faculty and alumni as they become ethical, enterprising leaders in their professions and communities. SMU's relationship with Dallas - the dynamic center of one of the nation's fastest-growing regions - offers unique learning, research, social and career opportunities that provide a launch pad for global impact. SMU is nonsectarian in its teaching and committed to academic freedom and open inquiry. About the Position: This role is an on-campus, in-person position. As the Academic Technology Services Director for the Bobby B. Lyle School of Engineering, this position is the embedded, hands-on academic technology partner for one of SMU's most technically demanding schools, serving faculty and students across all Lyle departments. Reporting to OIT Academic Technology Services with a close relationship to the Lyle Dean's office, it designs, deploys, administers, and supports the instructional and research technology that powers Lyle's classrooms, computing labs, shared Linux computing environments, Lyle online course delivery, and faculty research. Distinct from other ATSD roles, this is a deeply technical, execution-focused position requiring strong Linux and systems-administration expertise and fluency with the scientific and engineering software and HPC environments on which Lyle depends. Essential Functions: Academic Technology Support & School-Level Coordination: Embedded day-to-day academic technology contact for Lyle. Coordinates with OIT Academic Technology Services, the Lyle Dean's office, department chairs, and centers; triages faculty and departmental technology needs; contributes to school technology planning; and provides some leadership while focusing on hands-on coordination and delivery. AI Tools, Literacy & Hands-On Enablement: Configures, pilots, & supports approved AI & generative AI tools for Lyle faculty, students, and staff. Builds AI literacy resources, prompt libraries, & just-in-time training for engineering teaching & research, including responsible-use practices & discipline-specific applications. Partners with SMU AI governance to keep Lyle aligned to SMU standards. Support for Online & Synchronous Learning Tech.: Provides hands-on technical delivery & support for Lyle's online and synchronous instruction, including online course delivery. Helps coordinate lecture capture, live streaming, web-conferencing, & remote-access tools, integrates them with Canvas, & troubleshoots live sessions, working with OIT Online Production Services and other program partners. LMS (Canvas) Support: Performs hands-on support of Canvas for Lyle courses, including course setup, enrollments, gradebook and SIS troubleshooting, and integrations. Implements engineering-specific tools, programming and notebook environments, and assessment solutions resolves issues and escalates to OIT teams as necessary. Research Computing, HPC & Scientific Software Support: Supports Lyle faculty, students, and research teams using SMU's research and high-performance computing environment, including ManeFrame III and the NVIDIA DGX SuperPOD, with OIT Research Technology Services. Assists with HPC scheduling (SLURM), modules (Lmod), allocations (ColdFront), scientific software, GPU and parallel computing, and large data movement. Specialized Engineering Software & Linux Computing Support: Installs, licenses, and maintains discipline-specific engineering and scientific software on Linux servers (MATLAB, ANSYS, COMSOL, EDA tools) requiring elevated admin access. Administers the shared, general-access Linux environments used for coursework and research. Windows and macOS installs and instrument-connected workstations are handled by client systems and lab managers. Linux Server Administration & Systems Support: Administers Lyle's Linux servers and virtual machines for instruction and research, including installation, configuration, patching, monitoring, backup, and scripting and automation (bash), applying security baselines within OIT enterprise standards. For Windows and macOS, advises users, engages client systems for remote installs, or refers to desktop support rather than hands-on administration. Classroom & Event Technology Support: Maintains working familiarity with Lyle classroom, learning-space, and event technology and helps faculty and presenters get started when systems are working normally. Provides brief first-line help for in-person and online sessions. Audiovisual systems are owned and configured by OIT Classroom Support; this role refers configuration changes, locked-cabinet access, and anything not quickly resolved. Accessibility, Compliance & Research-Data Stewardship: Helps support digital accessibility of Lyle's instructional materials and platforms per university standards and law (ADA Title II, WCAG) and guides faculty in remediation of content. Helps the school observe research-data security, data governance, and export-control considerations (ITAR, EAR) common in engineering research, escalating to the appropriate offices. Professional Development, Documentation & Service: Maintains current expertise in academic, research, and engineering technologies through ongoing professional development and certification. Develops documentation, knowledge-base articles, and standard operating procedures for the school's technology environment, and participates in OIT, ATS, and school committees that advance Lyle's mission. Occasional support for evening graduate classes, online synchronous sessions, scheduled maintenance windows, and school events is required. Occasional travel across campus and to professional development events, training sessions, or conferences. This position may require work in data center and server room environments, subject to applicable safety requirements. Periodic on-call or maintenance window availability may also be required. Qualifications Education and Experience: A Bachelor's degree and a minimum of five (5) years of relevant experience in academic, research, or instructional technology, systems administration, or technical support in a higher-education, research, or engineering setting is required. OR A Master's degree and a minimum of three (3) years of relevant experience in academic, research, or instructional technology, systems administration, or technical support in a higher-education, research, or engineering setting is required. Degree in CS, engineering, IT, or related technical field is desired. Required: Experience with Linux and Unix administration Cross-platform (Windows, macOS, Linux) support Experience supporting scientific and engineering software and research computing Linux Experience with Canvas or comparable leaning management system (LMS) Experience providing direct technical support to faculty and student Experience with STEM, engineering, or research-intensive work is preferred. Knowledge, Skills and Abilities: Candidate must demonstrate strong interpersonal and verbal communication skills, with the ability to communicate broadly across the University and develop and maintain effective relationships with a wide range of constituencies. Must also demonstrate strong written communication skills. A strong customer service orientation is essential. Candidate must possess strong problem-solving skills with the ability to identify and analyze problems, as well as devise solutions. Must also have strong organizational, planning and time management skills. Strong project management skills and a strong focus on attention to detail are essential. Required: Experience with research and HPC concepts (scheduling, modules, batch and parallel workloads) Canvas or comparable LMS administration and installation Ability to advise on Windows and macOS Strong knowledge of productivity and collaboration suites (Microsoft 365) Strong knowledge of web-conferencing and lecture-capture tools Scripting (bash) Preferred: GPU/CUDA, containers (Docker, K8s), Git, and cloud platforms Relevant Linux, cloud, or HPC certifications MATLAB, Python, and R Engineering and simulation software (ANSYS, COMSOL, SolidWorks, CAD/CAE, EDA tools) Containerization and HPC tooling (K8s, Singularity, Docker) Cloud consoles (AWS, Azure, GCP) Configuration-management tools Physical and Environmental Demands: Bend Crawl Reach above shoulders Carry/lift 25 lbs. Sit for long periods of time Climb Handle objects (dexterity) Kneel Stand Walk for long distances Exposure to dust, fumes, gases, radiation, microwave Deadline to Apply: The position is open until filled. EEO Statement SMU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, disability, genetic information, veteran status, sexual orientation, or gender identity and expression. Benefits: SMU offers staff a broad, competitive array of health and related benefits . click apply for full job details
07/22/2026
Full time
Salary Range: Salary commensurate with experience and qualifications About SMU SMU's more than 12,000 diverse, high-achieving students come from all 50 states and over 80 countries to take advantage of the University's small classes, meaningful research opportunities, leadership development, community service, international study and innovative programs. SMU serves approximately 7,000 undergraduates and 5,000 graduate students through eight degree-granting schools: Dedman College of Humanities and Sciences, Cox School of Business, Lyle School of Engineering, Meadows School of the Arts, Simmons School of Education and Human Development, Dedman School of Law, Perkins School of Theology and Moody School of Graduate and Advanced Studies. SMU is data driven, and its powerful supercomputing ecosystem - paired with entrepreneurial drive - creates an unrivaled environment for the University to deliver research excellence. Now in its second century of achievement, SMU is recognized for the ways it supports students, faculty and alumni as they become ethical, enterprising leaders in their professions and communities. SMU's relationship with Dallas - the dynamic center of one of the nation's fastest-growing regions - offers unique learning, research, social and career opportunities that provide a launch pad for global impact. SMU is nonsectarian in its teaching and committed to academic freedom and open inquiry. About the Position: This role is an on-campus, in-person position. As the Academic Technology Services Director for the Bobby B. Lyle School of Engineering, this position is the embedded, hands-on academic technology partner for one of SMU's most technically demanding schools, serving faculty and students across all Lyle departments. Reporting to OIT Academic Technology Services with a close relationship to the Lyle Dean's office, it designs, deploys, administers, and supports the instructional and research technology that powers Lyle's classrooms, computing labs, shared Linux computing environments, Lyle online course delivery, and faculty research. Distinct from other ATSD roles, this is a deeply technical, execution-focused position requiring strong Linux and systems-administration expertise and fluency with the scientific and engineering software and HPC environments on which Lyle depends. Essential Functions: Academic Technology Support & School-Level Coordination: Embedded day-to-day academic technology contact for Lyle. Coordinates with OIT Academic Technology Services, the Lyle Dean's office, department chairs, and centers; triages faculty and departmental technology needs; contributes to school technology planning; and provides some leadership while focusing on hands-on coordination and delivery. AI Tools, Literacy & Hands-On Enablement: Configures, pilots, & supports approved AI & generative AI tools for Lyle faculty, students, and staff. Builds AI literacy resources, prompt libraries, & just-in-time training for engineering teaching & research, including responsible-use practices & discipline-specific applications. Partners with SMU AI governance to keep Lyle aligned to SMU standards. Support for Online & Synchronous Learning Tech.: Provides hands-on technical delivery & support for Lyle's online and synchronous instruction, including online course delivery. Helps coordinate lecture capture, live streaming, web-conferencing, & remote-access tools, integrates them with Canvas, & troubleshoots live sessions, working with OIT Online Production Services and other program partners. LMS (Canvas) Support: Performs hands-on support of Canvas for Lyle courses, including course setup, enrollments, gradebook and SIS troubleshooting, and integrations. Implements engineering-specific tools, programming and notebook environments, and assessment solutions resolves issues and escalates to OIT teams as necessary. Research Computing, HPC & Scientific Software Support: Supports Lyle faculty, students, and research teams using SMU's research and high-performance computing environment, including ManeFrame III and the NVIDIA DGX SuperPOD, with OIT Research Technology Services. Assists with HPC scheduling (SLURM), modules (Lmod), allocations (ColdFront), scientific software, GPU and parallel computing, and large data movement. Specialized Engineering Software & Linux Computing Support: Installs, licenses, and maintains discipline-specific engineering and scientific software on Linux servers (MATLAB, ANSYS, COMSOL, EDA tools) requiring elevated admin access. Administers the shared, general-access Linux environments used for coursework and research. Windows and macOS installs and instrument-connected workstations are handled by client systems and lab managers. Linux Server Administration & Systems Support: Administers Lyle's Linux servers and virtual machines for instruction and research, including installation, configuration, patching, monitoring, backup, and scripting and automation (bash), applying security baselines within OIT enterprise standards. For Windows and macOS, advises users, engages client systems for remote installs, or refers to desktop support rather than hands-on administration. Classroom & Event Technology Support: Maintains working familiarity with Lyle classroom, learning-space, and event technology and helps faculty and presenters get started when systems are working normally. Provides brief first-line help for in-person and online sessions. Audiovisual systems are owned and configured by OIT Classroom Support; this role refers configuration changes, locked-cabinet access, and anything not quickly resolved. Accessibility, Compliance & Research-Data Stewardship: Helps support digital accessibility of Lyle's instructional materials and platforms per university standards and law (ADA Title II, WCAG) and guides faculty in remediation of content. Helps the school observe research-data security, data governance, and export-control considerations (ITAR, EAR) common in engineering research, escalating to the appropriate offices. Professional Development, Documentation & Service: Maintains current expertise in academic, research, and engineering technologies through ongoing professional development and certification. Develops documentation, knowledge-base articles, and standard operating procedures for the school's technology environment, and participates in OIT, ATS, and school committees that advance Lyle's mission. Occasional support for evening graduate classes, online synchronous sessions, scheduled maintenance windows, and school events is required. Occasional travel across campus and to professional development events, training sessions, or conferences. This position may require work in data center and server room environments, subject to applicable safety requirements. Periodic on-call or maintenance window availability may also be required. Qualifications Education and Experience: A Bachelor's degree and a minimum of five (5) years of relevant experience in academic, research, or instructional technology, systems administration, or technical support in a higher-education, research, or engineering setting is required. OR A Master's degree and a minimum of three (3) years of relevant experience in academic, research, or instructional technology, systems administration, or technical support in a higher-education, research, or engineering setting is required. Degree in CS, engineering, IT, or related technical field is desired. Required: Experience with Linux and Unix administration Cross-platform (Windows, macOS, Linux) support Experience supporting scientific and engineering software and research computing Linux Experience with Canvas or comparable leaning management system (LMS) Experience providing direct technical support to faculty and student Experience with STEM, engineering, or research-intensive work is preferred. Knowledge, Skills and Abilities: Candidate must demonstrate strong interpersonal and verbal communication skills, with the ability to communicate broadly across the University and develop and maintain effective relationships with a wide range of constituencies. Must also demonstrate strong written communication skills. A strong customer service orientation is essential. Candidate must possess strong problem-solving skills with the ability to identify and analyze problems, as well as devise solutions. Must also have strong organizational, planning and time management skills. Strong project management skills and a strong focus on attention to detail are essential. Required: Experience with research and HPC concepts (scheduling, modules, batch and parallel workloads) Canvas or comparable LMS administration and installation Ability to advise on Windows and macOS Strong knowledge of productivity and collaboration suites (Microsoft 365) Strong knowledge of web-conferencing and lecture-capture tools Scripting (bash) Preferred: GPU/CUDA, containers (Docker, K8s), Git, and cloud platforms Relevant Linux, cloud, or HPC certifications MATLAB, Python, and R Engineering and simulation software (ANSYS, COMSOL, SolidWorks, CAD/CAE, EDA tools) Containerization and HPC tooling (K8s, Singularity, Docker) Cloud consoles (AWS, Azure, GCP) Configuration-management tools Physical and Environmental Demands: Bend Crawl Reach above shoulders Carry/lift 25 lbs. Sit for long periods of time Climb Handle objects (dexterity) Kneel Stand Walk for long distances Exposure to dust, fumes, gases, radiation, microwave Deadline to Apply: The position is open until filled. EEO Statement SMU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, disability, genetic information, veteran status, sexual orientation, or gender identity and expression. Benefits: SMU offers staff a broad, competitive array of health and related benefits . click apply for full job details
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).
07/22/2026
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).
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: Sr Specialist, Systems Engineer - Space Systems (2nd Shift) : Sign-on bonus ($20K max) Job Code: 39113 Job Location: Wilmington, MA Job Schedule: 9/80 (Every other Friday off!) - 2nd Shift Relocation Assistance: Relocation may be provided to qualified applicants Sign-On Bonus: A sign-on bonus of up to $20K may be included as part of an offer package for this level Job Description: L3Harris Technologies has an immediate opening for a Senior Specialist, Systems Engineer on 2nd shift in Wilmington, MA. The ideal candidate for this position will be proficient in all aspects of the systems engineering process, will have direct and significant experience designing and testing complex systems, and will be comfortable coordinating teams of technical personnel. In this role you will help design, develop, integrate, test, and deliver critical space-based remote sensing systems to our customers. We look forward to reviewing your application! Essential Functions: Manages complex projects or processes with general oversight. Support concept of operation development and requirements analysis, decomposition, and generation at various levels of the system Conduct systems modeling and simulation to analyze system performance and validate requirements. Communicates within and outside of own function to gain cooperation on operational processes, practices, and procedures. Providing leadership and technical guidance across the organization. Qualifications: Bachelor's degree in systems engineering, Computer Science, or a related field and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. 4+ years of experience with systems engineering principles and practices Professional experience with systems modeling and simulation Professional experience developing products for space-based applications Ability to obtain a US Government Top Secret Security Clearance Preferred Additional Skills: Active U.S. Security Clearance Certified Systems Engineering Professional (CSEP) or similar certification. Experience with SysML (Systems Modeling Language). Prior experience in the aerospace or defense industry. Excellent analytical and problem-solving skills. Ability to lead complex technical projects and teams In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $106,500.00 - $197,500.00. 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.
07/22/2026
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: Sr Specialist, Systems Engineer - Space Systems (2nd Shift) : Sign-on bonus ($20K max) Job Code: 39113 Job Location: Wilmington, MA Job Schedule: 9/80 (Every other Friday off!) - 2nd Shift Relocation Assistance: Relocation may be provided to qualified applicants Sign-On Bonus: A sign-on bonus of up to $20K may be included as part of an offer package for this level Job Description: L3Harris Technologies has an immediate opening for a Senior Specialist, Systems Engineer on 2nd shift in Wilmington, MA. The ideal candidate for this position will be proficient in all aspects of the systems engineering process, will have direct and significant experience designing and testing complex systems, and will be comfortable coordinating teams of technical personnel. In this role you will help design, develop, integrate, test, and deliver critical space-based remote sensing systems to our customers. We look forward to reviewing your application! Essential Functions: Manages complex projects or processes with general oversight. Support concept of operation development and requirements analysis, decomposition, and generation at various levels of the system Conduct systems modeling and simulation to analyze system performance and validate requirements. Communicates within and outside of own function to gain cooperation on operational processes, practices, and procedures. Providing leadership and technical guidance across the organization. Qualifications: Bachelor's degree in systems engineering, Computer Science, or a related field and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. 4+ years of experience with systems engineering principles and practices Professional experience with systems modeling and simulation Professional experience developing products for space-based applications Ability to obtain a US Government Top Secret Security Clearance Preferred Additional Skills: Active U.S. Security Clearance Certified Systems Engineering Professional (CSEP) or similar certification. Experience with SysML (Systems Modeling Language). Prior experience in the aerospace or defense industry. Excellent analytical and problem-solving skills. Ability to lead complex technical projects and teams In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $106,500.00 - $197,500.00. 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.
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: Spec, Program Manager (Advanced Systems) Job Code: 39727 Job Location: Salt Lake City, UT Job Schedule: 9/80 (Off every other Friday) Job Description: L3Harris is seeking a Spec, Program Manager (PM) who will manage multi-functional teams in the proposal and execution of Advanced Systems Programs. This opportunity is for the person who has the unique blend of project management, accounting, accountability and effective team leadership. This unique individual will also be able to effectively communicate comfortably and with confidence to ALL levels of the division. This includes regular presentations and status updates to VPs and higher. Depending on the person hired and their unique skills and experience, new and existing programs targeted for support from this position include the application of leading-edge technologies in support of the warfighter. This position is also expected to support new business pursuits in our effort to grow new Orders and Sales to meet our current and future year growth objectives. You will work alongside similarly unique individuals; sharing, learning and collaborating to improve everyone's experience within your area of influence. You must thrive on being in the mix and fully accountable with an extreme sense of ownership and responsibility to all stakeholders. Our PMs are responsible for all Program Management tasks, as defined by documented company processes and procedures, including program capture, proposal, negotiation, planning, execution, sustainment/support, and closeout. Essential Functions: Plan and execute both development and production programs using Earned Value Management System (EVMS) methodology and tools. Lead cross functional teams in the execution of program requirements including engineering, manufacturing, finance, contracts, etc. Identify continuous improvement and cost reduction opportunities. Coordinate with customers to identify opportunities and solutions and provide issue resolution across the program lifecycle, including proposal, production and support. Provide concise reports on management on status, potential issues, risks, and solution recommendations. You will also be asked to lead proposal teams to define and develop competitive, winning proposals within the DoD community and its contractors as needed. Must be able to travel on occasion and as needed. Required Qualifications: Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. Must have a current and active Secret clearance. Able and willing to attain TS/SCI. Hands-on experience with Earned Value Management System (EVMS) methodology and tools; above average or advanced experience. Preferred Qualifications: Engineering background preferred Knowledge of UAS data links and SATCOM terminals is desired. Familiarity with military communications systems is desired. Experience with FRACAS, trend analysis, Integrated Logistics Support (ILS) and repair Turn-Around-Time (TAT) metrics is preferred. Military or Intelligence Community Experience preferred. Business/Engineering degree or technical experience. Strong written and oral communication skills. 8+ years Program Management or related experience within a DoD environment. 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.
07/22/2026
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: Spec, Program Manager (Advanced Systems) Job Code: 39727 Job Location: Salt Lake City, UT Job Schedule: 9/80 (Off every other Friday) Job Description: L3Harris is seeking a Spec, Program Manager (PM) who will manage multi-functional teams in the proposal and execution of Advanced Systems Programs. This opportunity is for the person who has the unique blend of project management, accounting, accountability and effective team leadership. This unique individual will also be able to effectively communicate comfortably and with confidence to ALL levels of the division. This includes regular presentations and status updates to VPs and higher. Depending on the person hired and their unique skills and experience, new and existing programs targeted for support from this position include the application of leading-edge technologies in support of the warfighter. This position is also expected to support new business pursuits in our effort to grow new Orders and Sales to meet our current and future year growth objectives. You will work alongside similarly unique individuals; sharing, learning and collaborating to improve everyone's experience within your area of influence. You must thrive on being in the mix and fully accountable with an extreme sense of ownership and responsibility to all stakeholders. Our PMs are responsible for all Program Management tasks, as defined by documented company processes and procedures, including program capture, proposal, negotiation, planning, execution, sustainment/support, and closeout. Essential Functions: Plan and execute both development and production programs using Earned Value Management System (EVMS) methodology and tools. Lead cross functional teams in the execution of program requirements including engineering, manufacturing, finance, contracts, etc. Identify continuous improvement and cost reduction opportunities. Coordinate with customers to identify opportunities and solutions and provide issue resolution across the program lifecycle, including proposal, production and support. Provide concise reports on management on status, potential issues, risks, and solution recommendations. You will also be asked to lead proposal teams to define and develop competitive, winning proposals within the DoD community and its contractors as needed. Must be able to travel on occasion and as needed. Required Qualifications: Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. Must have a current and active Secret clearance. Able and willing to attain TS/SCI. Hands-on experience with Earned Value Management System (EVMS) methodology and tools; above average or advanced experience. Preferred Qualifications: Engineering background preferred Knowledge of UAS data links and SATCOM terminals is desired. Familiarity with military communications systems is desired. Experience with FRACAS, trend analysis, Integrated Logistics Support (ILS) and repair Turn-Around-Time (TAT) metrics is preferred. Military or Intelligence Community Experience preferred. Business/Engineering degree or technical experience. Strong written and oral communication skills. 8+ years Program Management or related experience within a DoD environment. 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.
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Manager, Data Analytics We're looking for someone who can sit between the business and the technical side and thrive in both. Our Generics organization is going through a period of significant change: we're modernizing legacy automations, migrating to new platforms, and building out self-service analytics that help teams across pricing, finance, and manufacturer relations make better decisions. This role will be at the center of that work. Half the job is understanding how the business operates. You'll spend real time with stakeholders learning their workflows, identifying what's broken or manual, and translating what you hear into clear requirements. The other half is building: writing Python, creating dashboards, designing automations, and delivering solutions that actually get adopted. If you're the kind of person who can run a requirements session in the morning and write production code in the afternoon, this is your role. Key Responsibilities Work directly with business and operational teams to understand their workflows, pain points, and priorities, then translate those into analytics and automation solutions Build and maintain dashboards and self-service reporting that help stakeholders monitor performance and make decisions without waiting on your team Write production Python to automate manual processes, build data pipelines, and replace legacy bots with scalable, modern solutions Support major platform migrations by identifying what's impacted downstream and updating dashboards, data products, and workflows accordingly Help shape our AI strategy by identifying where AI and machine learning can add real value, and partnering with engineering to make it happen Minimum Requirement Degree or equivalent and typically requires 7+ years of relevant experience. Education Bachelor's or master's degree in Business, Finance, Economics, Information Systems, Computer Science, Data Analytics, or a related field Critical Skills 7+ years in analytics, business intelligence, or a similar role. Strong communication skills, both directions: you can extract requirements from business teams who don't speak technical, and you can explain your solutions to people who don't write code Skilled in SQL with hands-on experience building dashboards in at least one major BI platform (Power BI, Tableau, or Looker) Strong Python skills, not just scripting, but writing clean, maintainable code for ETL, API integrations, and automation Skilled in working with cloud data platforms (Snowflake, Databricks, or similar), not just familiarity but hands-on delivery experience Solid understanding of data modeling and BI best practices Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows Additional Skills Experience replacing or modernizing RPA automations Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows Background in healthcare, pharma, or distribution This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities. McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $114,200 - $190,400 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
07/22/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Manager, Data Analytics We're looking for someone who can sit between the business and the technical side and thrive in both. Our Generics organization is going through a period of significant change: we're modernizing legacy automations, migrating to new platforms, and building out self-service analytics that help teams across pricing, finance, and manufacturer relations make better decisions. This role will be at the center of that work. Half the job is understanding how the business operates. You'll spend real time with stakeholders learning their workflows, identifying what's broken or manual, and translating what you hear into clear requirements. The other half is building: writing Python, creating dashboards, designing automations, and delivering solutions that actually get adopted. If you're the kind of person who can run a requirements session in the morning and write production code in the afternoon, this is your role. Key Responsibilities Work directly with business and operational teams to understand their workflows, pain points, and priorities, then translate those into analytics and automation solutions Build and maintain dashboards and self-service reporting that help stakeholders monitor performance and make decisions without waiting on your team Write production Python to automate manual processes, build data pipelines, and replace legacy bots with scalable, modern solutions Support major platform migrations by identifying what's impacted downstream and updating dashboards, data products, and workflows accordingly Help shape our AI strategy by identifying where AI and machine learning can add real value, and partnering with engineering to make it happen Minimum Requirement Degree or equivalent and typically requires 7+ years of relevant experience. Education Bachelor's or master's degree in Business, Finance, Economics, Information Systems, Computer Science, Data Analytics, or a related field Critical Skills 7+ years in analytics, business intelligence, or a similar role. Strong communication skills, both directions: you can extract requirements from business teams who don't speak technical, and you can explain your solutions to people who don't write code Skilled in SQL with hands-on experience building dashboards in at least one major BI platform (Power BI, Tableau, or Looker) Strong Python skills, not just scripting, but writing clean, maintainable code for ETL, API integrations, and automation Skilled in working with cloud data platforms (Snowflake, Databricks, or similar), not just familiarity but hands-on delivery experience Solid understanding of data modeling and BI best practices Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows Additional Skills Experience replacing or modernizing RPA automations Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows Background in healthcare, pharma, or distribution This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities. McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $114,200 - $190,400 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
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. As a Data Center Technician, you are a primary resolver for your support team, and are skilled at troubleshooting one or more operating systems. You are able to troubleshoot and solve all but the most complex infrastructure issues. Issues are escalated to the appropriate resolver groups when necessary. You create and maintain documentation on technologies you support and are able to convey SOPs to junior staff. You understand all aspects of the equipment you support. You know how to innovate and make decisions on his/her own, but also know how to take direction when it is given, paying attention to all details involved. You are able to execute small projects on your own and work with your manager in planning and executing larger local projects. You act as an escalation point for junior technicians. You understand all aspects of the equipment you support. Position may include rotating shifts, 3, 4, or 5 day/night work weeks, and may change based on the needs of the business. Travel may be required up to 10% of the time. This position will fill an opening at one of multiple separate sites. This position requires that the candidate selected be a US citizen and currently possess and maintain an active Top Secret security clearance with SCI eligibility. 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 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 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 - High school or equivalent diploma, or A+ or CND (Certified Network Defender) or Network+ or Security+ - Current, active US Government Security Clearance of Top Secret with SCI eligibility or above PREFERRED QUALIFICATIONS - Knowledge of hardware platforms - 1+ years of computer networking experience, or experience in computer networking - Bachelor's degree in an IT-related field (e.g., Computer Science, Network Engineering), or experience in professional or military IT-related roles Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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 starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at . USA, OH, Plain City - 33.00 - 58.00 USD hourly
07/22/2026
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. As a Data Center Technician, you are a primary resolver for your support team, and are skilled at troubleshooting one or more operating systems. You are able to troubleshoot and solve all but the most complex infrastructure issues. Issues are escalated to the appropriate resolver groups when necessary. You create and maintain documentation on technologies you support and are able to convey SOPs to junior staff. You understand all aspects of the equipment you support. You know how to innovate and make decisions on his/her own, but also know how to take direction when it is given, paying attention to all details involved. You are able to execute small projects on your own and work with your manager in planning and executing larger local projects. You act as an escalation point for junior technicians. You understand all aspects of the equipment you support. Position may include rotating shifts, 3, 4, or 5 day/night work weeks, and may change based on the needs of the business. Travel may be required up to 10% of the time. This position will fill an opening at one of multiple separate sites. This position requires that the candidate selected be a US citizen and currently possess and maintain an active Top Secret security clearance with SCI eligibility. 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 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 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 - High school or equivalent diploma, or A+ or CND (Certified Network Defender) or Network+ or Security+ - Current, active US Government Security Clearance of Top Secret with SCI eligibility or above PREFERRED QUALIFICATIONS - Knowledge of hardware platforms - 1+ years of computer networking experience, or experience in computer networking - Bachelor's degree in an IT-related field (e.g., Computer Science, Network Engineering), or experience in professional or military IT-related roles Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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 starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at . USA, OH, Plain City - 33.00 - 58.00 USD hourly
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. Are you experienced in Critical Infrastructure Commissioning and looking for a fast paced environment to work in? As a Data Center Commissioning Engineer (CxE), you will be part of a highly creative, efficient team tasked with tackling fascinating and challenging problems building and supporting the operations of Amazon owned data centers. The Amazon Commissioning team (ACx) understands, evaluates, defines and manages the expectations of construction quality in accordance to engineering designs to meet the customer requirements. The CxE is responsible for supporting vendors, contractors, and other teams involved in the construction and commissioning of various systems such as: • Medium and low voltage power systems • Generators • UPS • HVAC (Air Handlers / Exhaust Fans / VFD) • Chilled Water Systems • Building Management systems (BMS) • Electrical Power Monitoring Systems (EPMS) • Testing and balancing • Pumps and Hydronic systems Additional Job Requirements: • Ability and willingness to travel domestic and internationally for up to 25% of the year. Key job responsibilities As the Commissioning Engineer (CxE), you will provide testing and validation oversight of AWS data center electrical and mechanical infrastructure. This includes, but is not limited to, review of design documents and equipment submittals, leading Factory Witness Testing (FWT), and managing third-party commissioning vendors in the performance of onsite pre-functional, functional, and integrated systems testing. You will own your projects' successes where you Deep Dived to resolve technical issues and had Bias for Action to address schedule impacts and coordination demands onsite. You will be sharing your lessons learned leading towards team growth and program improvements. You will get the opportunity to provide multi-discipline input into the scheduling, test script development, designing, and planning of projects. During commissioning, you will be continuously auditing Cx vendors' activities to ensure compliance with environmental, quality, and safety requirements. Following the AWS project reporting format, you will be responsible for regular reporting of commissioning progress and metrics of assigned project to your Regional Commissioning Manager. You will have the opportunity to lead several projects simultaneously to achieve key milestones and deliver data center capacity, while managing project budget as approved by Finance. A day in the life On a typical project, the CxE works across AWS engineering, capacity delivery, operations, and contractor teams to coordinate site activities, prioritize tasks, and ensure each issue has a clear path to resolution. The CxE manages the project commissioning vendor whose primary scope is to execute functional tests, identify issues, determine criticality, propose solutions, and document their findings. If project turnover is at risk, the CxE escalates to the appropriate stakeholders. Upon project completion, the CxE will communicate lessons learned to help peers on similar projects in flight and participate in initiatives that drive improvement to the commissioning program. 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 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 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 - 5+ years of engineering, installation, or startup/commissioning of electrical and mechanical systems experience - Bachelor's degree in Electrical Engineering or a related field PREFERRED QUALIFICATIONS - Professional Engineer License - Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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, GA, Atlanta - 116 000.00 USD annually
07/22/2026
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. Are you experienced in Critical Infrastructure Commissioning and looking for a fast paced environment to work in? As a Data Center Commissioning Engineer (CxE), you will be part of a highly creative, efficient team tasked with tackling fascinating and challenging problems building and supporting the operations of Amazon owned data centers. The Amazon Commissioning team (ACx) understands, evaluates, defines and manages the expectations of construction quality in accordance to engineering designs to meet the customer requirements. The CxE is responsible for supporting vendors, contractors, and other teams involved in the construction and commissioning of various systems such as: • Medium and low voltage power systems • Generators • UPS • HVAC (Air Handlers / Exhaust Fans / VFD) • Chilled Water Systems • Building Management systems (BMS) • Electrical Power Monitoring Systems (EPMS) • Testing and balancing • Pumps and Hydronic systems Additional Job Requirements: • Ability and willingness to travel domestic and internationally for up to 25% of the year. Key job responsibilities As the Commissioning Engineer (CxE), you will provide testing and validation oversight of AWS data center electrical and mechanical infrastructure. This includes, but is not limited to, review of design documents and equipment submittals, leading Factory Witness Testing (FWT), and managing third-party commissioning vendors in the performance of onsite pre-functional, functional, and integrated systems testing. You will own your projects' successes where you Deep Dived to resolve technical issues and had Bias for Action to address schedule impacts and coordination demands onsite. You will be sharing your lessons learned leading towards team growth and program improvements. You will get the opportunity to provide multi-discipline input into the scheduling, test script development, designing, and planning of projects. During commissioning, you will be continuously auditing Cx vendors' activities to ensure compliance with environmental, quality, and safety requirements. Following the AWS project reporting format, you will be responsible for regular reporting of commissioning progress and metrics of assigned project to your Regional Commissioning Manager. You will have the opportunity to lead several projects simultaneously to achieve key milestones and deliver data center capacity, while managing project budget as approved by Finance. A day in the life On a typical project, the CxE works across AWS engineering, capacity delivery, operations, and contractor teams to coordinate site activities, prioritize tasks, and ensure each issue has a clear path to resolution. The CxE manages the project commissioning vendor whose primary scope is to execute functional tests, identify issues, determine criticality, propose solutions, and document their findings. If project turnover is at risk, the CxE escalates to the appropriate stakeholders. Upon project completion, the CxE will communicate lessons learned to help peers on similar projects in flight and participate in initiatives that drive improvement to the commissioning program. 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 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 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 - 5+ years of engineering, installation, or startup/commissioning of electrical and mechanical systems experience - Bachelor's degree in Electrical Engineering or a related field PREFERRED QUALIFICATIONS - Professional Engineer License - Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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, GA, Atlanta - 116 000.00 USD annually
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 Specialist, Information Security Systems Engineer Job Code: 39297 Job Location: Palm Bay, FL Job Schedule: 9/80 Job Description: Essential Functions: Experience in Risk Management Framework (RMF) accreditation and authorization (A&A) processes and standard body of evidence (BoE) package development. Experience with A&A package processing Experience in DoD software selection and approval processes for COTS, GOTS and FOSS. Experience in the application of DISA SRGs and STIGs. Experience in the implementation and use of cybersecurity tools (e.g. ACAS, SCAP, etc.). Experience with container security Support security engineering activities, including basis of estimate development, requirements development, design, test, configuration management and maintenance of information systems and data. Assist program security in the development of policies and procedures for emerging security technologies. Support vulnerability assessment activities as required. Support the evaluation, qualification, testing and delivery of security architecture improvement, obsolescence replacement and vulnerability response projects. Experience in configuration and use of cyber defense and vulnerability assessment tools such as ACAS, Nessus and SCC. Ability to work individually or as part of a cybersecurity team. Must be able provide direction based on program and customer requirements and compliance. Possess excellent speaking abilities and skills to brief leadership and customers. Possess ability to conduct research on security and other applicable topics as needed as the cybersecurity lead. Must be a self-starter that is able to understand requirements and develop plans and articulate needs to meet compliance and requirements. This is a 100% On-Site Position Qualifications: Education: Bachelor's Degree and minimum 6 years of prior relevant experience, or Graduate Degree and a minimum of 4 years of prior related experience or In lieu of a degree, minimum of 10 years of prior related experience. TS/SCI (SCI eligible) security clearance with CI Poly required. DOD 8140 IAT-3 or IASAE-2 certification. Demonstrated ability to work and grow in a dynamic, fast paced, team-oriented environment. Preferred Additional Skills: Experience in C2S Cloud authorizations, FedRAMP and DISA CSP requirements. Experience in Model-Based Systems Engineering (MBSE). Windows and Linux system administration skills. Operating system certification. Experience in the content development and administration of SEIM/audit reduction tools (e.g., Splunk). DOD 8570.01M IASAE-3 certification is desired. Strong understanding of engineering processes, concepts and information security systems engineering principles (NIST SP 800-160 Vol1). System test and evaluation methods and RMF assessment methodology & process. Experience in Cyber Defense technologies. Experience with CI/CD, agile system development, and DevSecOps tools and processes. Understanding of system vulnerabilities and exploitation. 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.
07/22/2026
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 Specialist, Information Security Systems Engineer Job Code: 39297 Job Location: Palm Bay, FL Job Schedule: 9/80 Job Description: Essential Functions: Experience in Risk Management Framework (RMF) accreditation and authorization (A&A) processes and standard body of evidence (BoE) package development. Experience with A&A package processing Experience in DoD software selection and approval processes for COTS, GOTS and FOSS. Experience in the application of DISA SRGs and STIGs. Experience in the implementation and use of cybersecurity tools (e.g. ACAS, SCAP, etc.). Experience with container security Support security engineering activities, including basis of estimate development, requirements development, design, test, configuration management and maintenance of information systems and data. Assist program security in the development of policies and procedures for emerging security technologies. Support vulnerability assessment activities as required. Support the evaluation, qualification, testing and delivery of security architecture improvement, obsolescence replacement and vulnerability response projects. Experience in configuration and use of cyber defense and vulnerability assessment tools such as ACAS, Nessus and SCC. Ability to work individually or as part of a cybersecurity team. Must be able provide direction based on program and customer requirements and compliance. Possess excellent speaking abilities and skills to brief leadership and customers. Possess ability to conduct research on security and other applicable topics as needed as the cybersecurity lead. Must be a self-starter that is able to understand requirements and develop plans and articulate needs to meet compliance and requirements. This is a 100% On-Site Position Qualifications: Education: Bachelor's Degree and minimum 6 years of prior relevant experience, or Graduate Degree and a minimum of 4 years of prior related experience or In lieu of a degree, minimum of 10 years of prior related experience. TS/SCI (SCI eligible) security clearance with CI Poly required. DOD 8140 IAT-3 or IASAE-2 certification. Demonstrated ability to work and grow in a dynamic, fast paced, team-oriented environment. Preferred Additional Skills: Experience in C2S Cloud authorizations, FedRAMP and DISA CSP requirements. Experience in Model-Based Systems Engineering (MBSE). Windows and Linux system administration skills. Operating system certification. Experience in the content development and administration of SEIM/audit reduction tools (e.g., Splunk). DOD 8570.01M IASAE-3 certification is desired. Strong understanding of engineering processes, concepts and information security systems engineering principles (NIST SP 800-160 Vol1). System test and evaluation methods and RMF assessment methodology & process. Experience in Cyber Defense technologies. Experience with CI/CD, agile system development, and DevSecOps tools and processes. Understanding of system vulnerabilities and exploitation. 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.
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: Lead, Project Engineer Job Code: 39698 Job Location: Colorado Springs, CO Schedule: 9/80 (Every Other Friday Off) Job Description: In a fast moving and increasingly complex world, L3Harris is anticipating and rapidly responding to challenges with agile technology - creating a safer and more secure future. L3Harris is seeking a dynamic Project Engineer who will provide technical leadership. Under general direction, the Project Engineer will be responsible for implementing design and analysis tasks, overseeing special studies, and coordinating testing activities. Essential Functions: Provide imaginative, thorough, and practicable solutions to a wide range of technical problems involving the conventional utilization of engineering techniques Read, interpret, and write specifications and technical documents Prepare technical and design requirements in support of project goals Keep current in relevant technologies and methods in support of project assignments Provide direction in problem investigations and resolution across functional areas Understand and/or leads Root Cause and Corrective Action (RCCA) process Review and approve engineering drawings 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. Preferred Additional Skills: Experience as an Integrated Product Team Leader (IPTL) and/or Control Account Manager (CAM) Advanced knowledge of Microsoft Office software Energetic design/manufacturing experience is desired Ability to communicate, both verbally and in writing, with technical and non-technical professionals at all levels Ability to establish and maintain priorities in a dynamic environment Strong analytical and problem-solving skills Strong ethical judgment In compliance with pay transparency requirements, the salary range for this role in Colorado state is $110,000-$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, please click here for English or Spanish.
07/22/2026
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: Lead, Project Engineer Job Code: 39698 Job Location: Colorado Springs, CO Schedule: 9/80 (Every Other Friday Off) Job Description: In a fast moving and increasingly complex world, L3Harris is anticipating and rapidly responding to challenges with agile technology - creating a safer and more secure future. L3Harris is seeking a dynamic Project Engineer who will provide technical leadership. Under general direction, the Project Engineer will be responsible for implementing design and analysis tasks, overseeing special studies, and coordinating testing activities. Essential Functions: Provide imaginative, thorough, and practicable solutions to a wide range of technical problems involving the conventional utilization of engineering techniques Read, interpret, and write specifications and technical documents Prepare technical and design requirements in support of project goals Keep current in relevant technologies and methods in support of project assignments Provide direction in problem investigations and resolution across functional areas Understand and/or leads Root Cause and Corrective Action (RCCA) process Review and approve engineering drawings 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. Preferred Additional Skills: Experience as an Integrated Product Team Leader (IPTL) and/or Control Account Manager (CAM) Advanced knowledge of Microsoft Office software Energetic design/manufacturing experience is desired Ability to communicate, both verbally and in writing, with technical and non-technical professionals at all levels Ability to establish and maintain priorities in a dynamic environment Strong analytical and problem-solving skills Strong ethical judgment In compliance with pay transparency requirements, the salary range for this role in Colorado state is $110,000-$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, please click here for English or Spanish.
Lead AI Engineer (AI Foundations, RecSys)OverviewLead AI Engineer (AI Foundations, RecSys) 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 4 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 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 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, delivering, and supporting AI services 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 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: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for 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).
07/22/2026
Full time
Lead AI Engineer (AI Foundations, RecSys)OverviewLead AI Engineer (AI Foundations, RecSys) 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 4 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 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 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, delivering, and supporting AI services 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 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: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for 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).
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 Specialist, Program Scheduler Job Code: 39982 Job Location: Salt Lake City, UT; Melbourne, FL; Carlsbad, CA Schedule: 9/80 - (work 9 out of every 14 days totaling 80 hours worked and have every other Friday off) Job Description: L3Harris is looking for an experienced Program Planner/Scheduler who will be part of the Program Planning and Scheduling Department supporting various programs. Success in this role requires in-depth knowledge of Program Life Cycles to develop networked models in Microsoft Project Server from requirements documentation, bases of estimates, and execution team inputs. Duties include the development and maintenance of complex resource loaded program schedules to support Critical Path analysis and the Earned Value Management System and supporting Program Management required analysis and reporting. This individual will interface with all elements of the program team to develop Integrated Master Schedules, complete regular maintenance of the schedule, and provide analysis and reports as needed to support Program Management and Leadership decision making. Essential Functions: Utilize standard industry tools and techniques for the creation of Integrated Master Schedules that will reflect the technical approach and execution plan, contract Statement of Work and data requirements, critical materials detail, traceability to the work breakdown structure, resource loading traceable to BOEs, and enable the capability to perform critical path analysis for complex development and production programs, with the primary tool being Microsoft Project Server. Analyze and review subcontractor schedules and integrate them as subordinate schedules into the IMS. Analyze schedule for project critical path and advise management of changes to the critical path and projected milestone achievement performance. Coordinate with Control Account Managers (CAM) and cross functional Integrated Product Team (IPT) members in the development, maintenance, and analysis of the schedule data that reflects their work scope. Obtain and analyze data and status from affected organizations to prepare, update, and disseminate periodic project status reports. Perform analysis of IMS for performance to plan variance and support corrective action to improve scheduling and planning processes. Work within a team environment to provide insights into program scheduling trends and best practices to assist program teams with formulating achievable program schedules. Perform Monte Carlo Schedule Risk Assessment (SRA) on key programs as part of standard work. Required Qualifications: Bachelor's Degree and minimum 6 years of prior relevant experience or Graduate Degree and a minimum of 4 years of prior related experience (In lieu of a degree, minimum of 10 years of prior related experience) Experience with industry standards (ANSI-748C), DoD EVMS Guidelines, Integrated Product & Process Development (IPPD), and Integrated Program Management Data & Analysis Report (IPMDAR). Preferred Additional Skills: Significant experience with MS Project and/or MS Project Server. Prior Experience in engineering and operations/manufacturing environment. Military contractor / Aerospace & Defense industry background. Strong analytical, problem solving and organizational skills. Knowledge of engineering processes, principles, and practice. Knowledge of risk management concepts and risk analysis related to master schedules. The ability to communicate well, both verbally and written. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $82,500 - $153,000. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, and Vermont is $71,5000 - $132,500. 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.
07/22/2026
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 Specialist, Program Scheduler Job Code: 39982 Job Location: Salt Lake City, UT; Melbourne, FL; Carlsbad, CA Schedule: 9/80 - (work 9 out of every 14 days totaling 80 hours worked and have every other Friday off) Job Description: L3Harris is looking for an experienced Program Planner/Scheduler who will be part of the Program Planning and Scheduling Department supporting various programs. Success in this role requires in-depth knowledge of Program Life Cycles to develop networked models in Microsoft Project Server from requirements documentation, bases of estimates, and execution team inputs. Duties include the development and maintenance of complex resource loaded program schedules to support Critical Path analysis and the Earned Value Management System and supporting Program Management required analysis and reporting. This individual will interface with all elements of the program team to develop Integrated Master Schedules, complete regular maintenance of the schedule, and provide analysis and reports as needed to support Program Management and Leadership decision making. Essential Functions: Utilize standard industry tools and techniques for the creation of Integrated Master Schedules that will reflect the technical approach and execution plan, contract Statement of Work and data requirements, critical materials detail, traceability to the work breakdown structure, resource loading traceable to BOEs, and enable the capability to perform critical path analysis for complex development and production programs, with the primary tool being Microsoft Project Server. Analyze and review subcontractor schedules and integrate them as subordinate schedules into the IMS. Analyze schedule for project critical path and advise management of changes to the critical path and projected milestone achievement performance. Coordinate with Control Account Managers (CAM) and cross functional Integrated Product Team (IPT) members in the development, maintenance, and analysis of the schedule data that reflects their work scope. Obtain and analyze data and status from affected organizations to prepare, update, and disseminate periodic project status reports. Perform analysis of IMS for performance to plan variance and support corrective action to improve scheduling and planning processes. Work within a team environment to provide insights into program scheduling trends and best practices to assist program teams with formulating achievable program schedules. Perform Monte Carlo Schedule Risk Assessment (SRA) on key programs as part of standard work. Required Qualifications: Bachelor's Degree and minimum 6 years of prior relevant experience or Graduate Degree and a minimum of 4 years of prior related experience (In lieu of a degree, minimum of 10 years of prior related experience) Experience with industry standards (ANSI-748C), DoD EVMS Guidelines, Integrated Product & Process Development (IPPD), and Integrated Program Management Data & Analysis Report (IPMDAR). Preferred Additional Skills: Significant experience with MS Project and/or MS Project Server. Prior Experience in engineering and operations/manufacturing environment. Military contractor / Aerospace & Defense industry background. Strong analytical, problem solving and organizational skills. Knowledge of engineering processes, principles, and practice. Knowledge of risk management concepts and risk analysis related to master schedules. The ability to communicate well, both verbally and written. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $82,500 - $153,000. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, and Vermont is $71,5000 - $132,500. 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.
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Manager, Data Analytics We're looking for someone who can sit between the business and the technical side and thrive in both. Our Generics organization is going through a period of significant change: we're modernizing legacy automations, migrating to new platforms, and building out self-service analytics that help teams across pricing, finance, and manufacturer relations make better decisions. This role will be at the center of that work. Half the job is understanding how the business operates. You'll spend real time with stakeholders learning their workflows, identifying what's broken or manual, and translating what you hear into clear requirements. The other half is building: writing Python, creating dashboards, designing automations, and delivering solutions that actually get adopted. If you're the kind of person who can run a requirements session in the morning and write production code in the afternoon, this is your role. Key Responsibilities Work directly with business and operational teams to understand their workflows, pain points, and priorities, then translate those into analytics and automation solutions Build and maintain dashboards and self-service reporting that help stakeholders monitor performance and make decisions without waiting on your team Write production Python to automate manual processes, build data pipelines, and replace legacy bots with scalable, modern solutions Support major platform migrations by identifying what's impacted downstream and updating dashboards, data products, and workflows accordingly Help shape our AI strategy by identifying where AI and machine learning can add real value, and partnering with engineering to make it happen Minimum Requirement Degree or equivalent and typically requires 7+ years of relevant experience. Education Bachelor's or master's degree in Business, Finance, Economics, Information Systems, Computer Science, Data Analytics, or a related field Critical Skills 7+ years in analytics, business intelligence, or a similar role. Strong communication skills, both directions: you can extract requirements from business teams who don't speak technical, and you can explain your solutions to people who don't write code Skilled in SQL with hands-on experience building dashboards in at least one major BI platform (Power BI, Tableau, or Looker) Strong Python skills, not just scripting, but writing clean, maintainable code for ETL, API integrations, and automation Skilled in working with cloud data platforms (Snowflake, Databricks, or similar), not just familiarity but hands-on delivery experience Solid understanding of data modeling and BI best practices Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows Additional Skills Experience replacing or modernizing RPA automations Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows Background in healthcare, pharma, or distribution This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities. McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $114,200 - $190,400 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
07/22/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Manager, Data Analytics We're looking for someone who can sit between the business and the technical side and thrive in both. Our Generics organization is going through a period of significant change: we're modernizing legacy automations, migrating to new platforms, and building out self-service analytics that help teams across pricing, finance, and manufacturer relations make better decisions. This role will be at the center of that work. Half the job is understanding how the business operates. You'll spend real time with stakeholders learning their workflows, identifying what's broken or manual, and translating what you hear into clear requirements. The other half is building: writing Python, creating dashboards, designing automations, and delivering solutions that actually get adopted. If you're the kind of person who can run a requirements session in the morning and write production code in the afternoon, this is your role. Key Responsibilities Work directly with business and operational teams to understand their workflows, pain points, and priorities, then translate those into analytics and automation solutions Build and maintain dashboards and self-service reporting that help stakeholders monitor performance and make decisions without waiting on your team Write production Python to automate manual processes, build data pipelines, and replace legacy bots with scalable, modern solutions Support major platform migrations by identifying what's impacted downstream and updating dashboards, data products, and workflows accordingly Help shape our AI strategy by identifying where AI and machine learning can add real value, and partnering with engineering to make it happen Minimum Requirement Degree or equivalent and typically requires 7+ years of relevant experience. Education Bachelor's or master's degree in Business, Finance, Economics, Information Systems, Computer Science, Data Analytics, or a related field Critical Skills 7+ years in analytics, business intelligence, or a similar role. Strong communication skills, both directions: you can extract requirements from business teams who don't speak technical, and you can explain your solutions to people who don't write code Skilled in SQL with hands-on experience building dashboards in at least one major BI platform (Power BI, Tableau, or Looker) Strong Python skills, not just scripting, but writing clean, maintainable code for ETL, API integrations, and automation Skilled in working with cloud data platforms (Snowflake, Databricks, or similar), not just familiarity but hands-on delivery experience Solid understanding of data modeling and BI best practices Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows Additional Skills Experience replacing or modernizing RPA automations Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows Background in healthcare, pharma, or distribution This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities. McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role. Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $114,200 - $190,400 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
AWS is looking for a Network Deploy Technician to join our growing team within infrastructure operations. You will work with minimum supervision in a dynamic environment to drive the stability and sustainability of our next-generation networks and assist in the development of innovative ways to automate and scale our network. The position's responsibilities include scaling support of several data center locations and day to day assistance with capacity management. You will work closely with internal customers and external vendors to facilitate smooth project execution as directed by Network Leadership and Technical Project Managers. You will leverage your experience supporting large scale, enterprise class networks as well as network implementation and troubleshooting. As a Network Deploy Technician, you will work in a fast paced, collaborative environment with regular peer and customer interaction. In addition to providing management and support of AWS' vast network infrastructure, Network Deploy Technicians establish and follow best practices and refine operational procedures. All physical requirements are expected with reasonable accommodations: • Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds • Ability to work in an environment that operates 24/7 with an ability to participate in primary responder rotation and provide after-hours support as needed • Working in cramped and/or elevated and/or noisy environments • Bending, lifting, stretching, reaching, standing and walking for up to 8+ hours a day • Ascending and descending ladders, stairs, and gangways safely and without limitation 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. Key job responsibilities • Managing work and priorities through ticketing system and workflows to complete customer requests and projects • Collaborating with various stakeholders to remove project obstacles • Troubleshooting networking, routing and interconnectivity issues, including patch panels and patch cords • Specifying Power and Cooling requirements and ensuring Hardware Racking/Stacking completed for new equipment • Participating in the migration, basic configuration and rollout of new or upgraded hardware Traveling within and outside of regional work area is required. You will be responsible for having a reliable personal vehicle and valid driver's license to travel within the regional work area, as company transportation will not be provided. A day in the life Our team has three primary tasks: 1. Providing the first level networking devices to serve our customer racks entails various tasks (the name of the game is efficiency): You will track network rack intake and delivery; work with various onsite teams to request for rack space, power, and cooling for network racks. And then partner with network engineers to ensure all configurations are ready. You'll also be working on link and device troubleshooting within a certain Service-Level Agreement 2. There is also console builds (and room builds) that are really exciting. You'll be exposed to more teams whose goal is to provide more space and capacity for customer racks. 3. Work with ID-Scaling peers to build higher-level networking devices. 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 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. AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 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. 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. Key job responsibilities • Managing work and priorities through ticketing system and workflows to complete customer requests and projects • Collaborating with various stakeholders to remove project obstacles • Troubleshooting networking, routing and interconnectivity issues, including patch panels and patch cords • Specifying Power and Cooling requirements and ensuring Hardware Racking/Stacking completed for new equipment • Participating in the migration, basic configuration and rollout of new or upgraded hardware A day in the life Our team has three primary responsibilities: First-level network deployment - We deliver networking devices that serve customer racks with a focus on efficiency. This includes tracking rack intake and delivery, coordinating with onsite teams for space, power, and cooling, partnering with engineers to ensure configurations are ready, and troubleshooting links and devices within SLA. Room builds - We collaborate cross-functionally to support new data hall capacity, expanding network space for customer racks. Higher-level network builds - We work with peers to deploy aggregation and backbone-layer networking devices. About the team The Infrastructure Delivery- Deploy team is responsible for the physical deployment and activation of network infrastructure across AWS's global data center footprint. Our technicians configure, and turn up network devices- switches, optical transport equipment, and cabling-ensuring each component meets AWS's rigorous quality and security standards. We work closely with design, capacity planning, and operations teams to deliver network infrastructure on time and at scale. From initial rack arrival through final circuit validation, Deploy is the hands-on force that transforms network designs into production-ready infrastructure, enabling AWS to expand its global network reliably and rapidly. BASIC QUALIFICATIONS - 1+ years of computer networking experience - 1+ years of Linux operating systems experience - Bachelor's degree in Information Technology, Computer Science, or a related field - Experience in computer networking - Experience working with Linux operating systems - Can lift and rack equipment up to 40 pounds - Experience with computer hardware troubleshooting and repair - Do you own or have consistent access to a personal vehicle? PREFERRED QUALIFICATIONS - Can work in cramped spaces or in elevated locations while adhering to health & safety guidelines - Experience dealing effectively with customers during problem resolution and operating efficiently under pressure - Experience managing work and priorities through a ticketing system - Experience with cabling infrastructure best practices and methodologies - Experience working in a data center environment (racking and stacking gear, cable management, hot/cold aisle containment) - industry standard certification (CompTIA, CCENT, or Network+), or experience working in a colocation data center facility - Experience with common tools related to network troubleshooting, including VFLs, OTDR and power meters - Knowledge of major Command Line Protocols (Cisco IOS, JunOS, GNU/Linux) and common Networking Protocols (BGP, OSPF) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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) . click apply for full job details
07/22/2026
Full time
AWS is looking for a Network Deploy Technician to join our growing team within infrastructure operations. You will work with minimum supervision in a dynamic environment to drive the stability and sustainability of our next-generation networks and assist in the development of innovative ways to automate and scale our network. The position's responsibilities include scaling support of several data center locations and day to day assistance with capacity management. You will work closely with internal customers and external vendors to facilitate smooth project execution as directed by Network Leadership and Technical Project Managers. You will leverage your experience supporting large scale, enterprise class networks as well as network implementation and troubleshooting. As a Network Deploy Technician, you will work in a fast paced, collaborative environment with regular peer and customer interaction. In addition to providing management and support of AWS' vast network infrastructure, Network Deploy Technicians establish and follow best practices and refine operational procedures. All physical requirements are expected with reasonable accommodations: • Regularly lift and/or move up to 40 pounds; and participate in group lifts for 41+ pounds • Ability to work in an environment that operates 24/7 with an ability to participate in primary responder rotation and provide after-hours support as needed • Working in cramped and/or elevated and/or noisy environments • Bending, lifting, stretching, reaching, standing and walking for up to 8+ hours a day • Ascending and descending ladders, stairs, and gangways safely and without limitation 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. Key job responsibilities • Managing work and priorities through ticketing system and workflows to complete customer requests and projects • Collaborating with various stakeholders to remove project obstacles • Troubleshooting networking, routing and interconnectivity issues, including patch panels and patch cords • Specifying Power and Cooling requirements and ensuring Hardware Racking/Stacking completed for new equipment • Participating in the migration, basic configuration and rollout of new or upgraded hardware Traveling within and outside of regional work area is required. You will be responsible for having a reliable personal vehicle and valid driver's license to travel within the regional work area, as company transportation will not be provided. A day in the life Our team has three primary tasks: 1. Providing the first level networking devices to serve our customer racks entails various tasks (the name of the game is efficiency): You will track network rack intake and delivery; work with various onsite teams to request for rack space, power, and cooling for network racks. And then partner with network engineers to ensure all configurations are ready. You'll also be working on link and device troubleshooting within a certain Service-Level Agreement 2. There is also console builds (and room builds) that are really exciting. You'll be exposed to more teams whose goal is to provide more space and capacity for customer racks. 3. Work with ID-Scaling peers to build higher-level networking devices. 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 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. AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 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. 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. Key job responsibilities • Managing work and priorities through ticketing system and workflows to complete customer requests and projects • Collaborating with various stakeholders to remove project obstacles • Troubleshooting networking, routing and interconnectivity issues, including patch panels and patch cords • Specifying Power and Cooling requirements and ensuring Hardware Racking/Stacking completed for new equipment • Participating in the migration, basic configuration and rollout of new or upgraded hardware A day in the life Our team has three primary responsibilities: First-level network deployment - We deliver networking devices that serve customer racks with a focus on efficiency. This includes tracking rack intake and delivery, coordinating with onsite teams for space, power, and cooling, partnering with engineers to ensure configurations are ready, and troubleshooting links and devices within SLA. Room builds - We collaborate cross-functionally to support new data hall capacity, expanding network space for customer racks. Higher-level network builds - We work with peers to deploy aggregation and backbone-layer networking devices. About the team The Infrastructure Delivery- Deploy team is responsible for the physical deployment and activation of network infrastructure across AWS's global data center footprint. Our technicians configure, and turn up network devices- switches, optical transport equipment, and cabling-ensuring each component meets AWS's rigorous quality and security standards. We work closely with design, capacity planning, and operations teams to deliver network infrastructure on time and at scale. From initial rack arrival through final circuit validation, Deploy is the hands-on force that transforms network designs into production-ready infrastructure, enabling AWS to expand its global network reliably and rapidly. BASIC QUALIFICATIONS - 1+ years of computer networking experience - 1+ years of Linux operating systems experience - Bachelor's degree in Information Technology, Computer Science, or a related field - Experience in computer networking - Experience working with Linux operating systems - Can lift and rack equipment up to 40 pounds - Experience with computer hardware troubleshooting and repair - Do you own or have consistent access to a personal vehicle? PREFERRED QUALIFICATIONS - Can work in cramped spaces or in elevated locations while adhering to health & safety guidelines - Experience dealing effectively with customers during problem resolution and operating efficiently under pressure - Experience managing work and priorities through a ticketing system - Experience with cabling infrastructure best practices and methodologies - Experience working in a data center environment (racking and stacking gear, cable management, hot/cold aisle containment) - industry standard certification (CompTIA, CCENT, or Network+), or experience working in a colocation data center facility - Experience with common tools related to network troubleshooting, including VFLs, OTDR and power meters - Knowledge of major Command Line Protocols (Cisco IOS, JunOS, GNU/Linux) and common Networking Protocols (BGP, OSPF) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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) . click apply for full job details
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. Are you experienced in Critical Infrastructure Commissioning and looking for a fast paced environment to work in? As a Data Center Commissioning Engineer (CxE), you will be part of a highly creative, efficient team tasked with tackling fascinating and challenging problems building and supporting the operations of Amazon owned data centers. The Amazon Commissioning team (ACx) understands, evaluates, defines and manages the expectations of construction quality in accordance to engineering designs to meet the customer requirements. The CxE is responsible for supporting vendors, contractors, and other teams involved in the construction and commissioning of various systems such as: • Medium and low voltage power systems • Generators • UPS • HVAC (Air Handlers / Exhaust Fans / VFD) • Chilled Water Systems • Building Management systems (BMS) • Electrical Power Monitoring Systems (EPMS) • Testing and balancing • Pumps and Hydronic systems Additional Job Requirements: • Ability and willingness to travel domestic and internationally for up to 25% of the year. Key job responsibilities As the Commissioning Engineer (CxE), you will provide testing and validation oversight of AWS data center electrical and mechanical infrastructure. This includes, but is not limited to, review of design documents and equipment submittals, leading Factory Witness Testing (FWT), and managing third-party commissioning vendors in the performance of onsite pre-functional, functional, and integrated systems testing. You will own your projects' successes where you Deep Dived to resolve technical issues and had Bias for Action to address schedule impacts and coordination demands onsite. You will be sharing your lessons learned leading towards team growth and program improvements. You will get the opportunity to provide multi-discipline input into the scheduling, test script development, designing, and planning of projects. During commissioning, you will be continuously auditing Cx vendors' activities to ensure compliance with environmental, quality, and safety requirements. Following the AWS project reporting format, you will be responsible for regular reporting of commissioning progress and metrics of assigned project to your Regional Commissioning Manager. You will have the opportunity to lead several projects simultaneously to achieve key milestones and deliver data center capacity, while managing project budget as approved by Finance. A day in the life On a typical project, the CxE works across AWS engineering, capacity delivery, operations, and contractor teams to coordinate site activities, prioritize tasks, and ensure each issue has a clear path to resolution. The CxE manages the project commissioning vendor whose primary scope is to execute functional tests, identify issues, determine criticality, propose solutions, and document their findings. If project turnover is at risk, the CxE escalates to the appropriate stakeholders. Upon project completion, the CxE will communicate lessons learned to help peers on similar projects in flight and participate in initiatives that drive improvement to the commissioning program. 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 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 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 - 5+ years of engineering, installation, or startup/commissioning of electrical and mechanical systems experience - Bachelor's degree in Electrical Engineering or a related field PREFERRED QUALIFICATIONS - Professional Engineer License - Experience carrying design concepts through exploration, development, and into deployment or mass production - Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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, MS, Canton - 105 300.00 USD annually
07/22/2026
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. Are you experienced in Critical Infrastructure Commissioning and looking for a fast paced environment to work in? As a Data Center Commissioning Engineer (CxE), you will be part of a highly creative, efficient team tasked with tackling fascinating and challenging problems building and supporting the operations of Amazon owned data centers. The Amazon Commissioning team (ACx) understands, evaluates, defines and manages the expectations of construction quality in accordance to engineering designs to meet the customer requirements. The CxE is responsible for supporting vendors, contractors, and other teams involved in the construction and commissioning of various systems such as: • Medium and low voltage power systems • Generators • UPS • HVAC (Air Handlers / Exhaust Fans / VFD) • Chilled Water Systems • Building Management systems (BMS) • Electrical Power Monitoring Systems (EPMS) • Testing and balancing • Pumps and Hydronic systems Additional Job Requirements: • Ability and willingness to travel domestic and internationally for up to 25% of the year. Key job responsibilities As the Commissioning Engineer (CxE), you will provide testing and validation oversight of AWS data center electrical and mechanical infrastructure. This includes, but is not limited to, review of design documents and equipment submittals, leading Factory Witness Testing (FWT), and managing third-party commissioning vendors in the performance of onsite pre-functional, functional, and integrated systems testing. You will own your projects' successes where you Deep Dived to resolve technical issues and had Bias for Action to address schedule impacts and coordination demands onsite. You will be sharing your lessons learned leading towards team growth and program improvements. You will get the opportunity to provide multi-discipline input into the scheduling, test script development, designing, and planning of projects. During commissioning, you will be continuously auditing Cx vendors' activities to ensure compliance with environmental, quality, and safety requirements. Following the AWS project reporting format, you will be responsible for regular reporting of commissioning progress and metrics of assigned project to your Regional Commissioning Manager. You will have the opportunity to lead several projects simultaneously to achieve key milestones and deliver data center capacity, while managing project budget as approved by Finance. A day in the life On a typical project, the CxE works across AWS engineering, capacity delivery, operations, and contractor teams to coordinate site activities, prioritize tasks, and ensure each issue has a clear path to resolution. The CxE manages the project commissioning vendor whose primary scope is to execute functional tests, identify issues, determine criticality, propose solutions, and document their findings. If project turnover is at risk, the CxE escalates to the appropriate stakeholders. Upon project completion, the CxE will communicate lessons learned to help peers on similar projects in flight and participate in initiatives that drive improvement to the commissioning program. 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 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 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 - 5+ years of engineering, installation, or startup/commissioning of electrical and mechanical systems experience - Bachelor's degree in Electrical Engineering or a related field PREFERRED QUALIFICATIONS - Professional Engineer License - Experience carrying design concepts through exploration, development, and into deployment or mass production - Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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, MS, Canton - 105 300.00 USD annually
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: Scientist, Systems Engineering Job Code: 41319 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: L3Harris is seeking systems engineers in Rochester NY to lead a dynamic team to develop EO/IR solutions. They will have Chief Systems Engineering responsibilities consisting of the synthesis, definition, analysis, development, integration & test of electro-optic systems for airborne and ground surveillance. Candidate will work closely with cross functional members in engineering, manufacturing, & program management to design, develop & build high performance systems. Essential Functions: Design/develop system architectures, define key capabilities and performance requirements Define total systems design and technology that meet mission requirements Define system implementation approach and operational concepts Develop models and architectural guidelines for future technologies Ensure requirements are met and evaluate performance measures Perform system and subsystem integration, technical risk assessment, technical planning, verification and validation, and supportability analyses Understand and implement systems engineering processes on programs and projects Create and update essential engineering documents including specifications, reports, plans, technical memos, and presentations Coordinate with other functional engineers to develop and test products, resolve compatibility and interface problems with other subsystems Provide timely production support and problem resolution Qualifications: Bachelor's Degree and a minimum of 12 years of prior relevant experience. Graduate Degree and a minimum of 10 years of prior related experience. In lieu of a degree, minimum of 16 years of prior related experience. Active Secret US Security Clearance Preferred Additional Skills: MBSE (Model Based Systems Engineering) DOORS, Jama, and Cameo experience Control system modeling using Matlab/Simulink Experience with cyber security Video transport and encoding (H.264, MISB and SMPTE standards) Video processing algorithms Understanding of defense products for the environments and platforms L3Harris supports Ability to effectively plan and organize projects and manage priorities Excellent organization and multi-tasking abilities with the ability to resolve conflicting priorities Strong mechanical and geo-spatial comprehension skills Strong interpersonal and facilitation skills Ability to communicate clearly (written and verbal) to technical and non-technical personnel Acute attention to detail and deadlines In compliance with pay transparency requirements, the salary range for this role in New York state is $140,500 - $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.
07/22/2026
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: Scientist, Systems Engineering Job Code: 41319 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: L3Harris is seeking systems engineers in Rochester NY to lead a dynamic team to develop EO/IR solutions. They will have Chief Systems Engineering responsibilities consisting of the synthesis, definition, analysis, development, integration & test of electro-optic systems for airborne and ground surveillance. Candidate will work closely with cross functional members in engineering, manufacturing, & program management to design, develop & build high performance systems. Essential Functions: Design/develop system architectures, define key capabilities and performance requirements Define total systems design and technology that meet mission requirements Define system implementation approach and operational concepts Develop models and architectural guidelines for future technologies Ensure requirements are met and evaluate performance measures Perform system and subsystem integration, technical risk assessment, technical planning, verification and validation, and supportability analyses Understand and implement systems engineering processes on programs and projects Create and update essential engineering documents including specifications, reports, plans, technical memos, and presentations Coordinate with other functional engineers to develop and test products, resolve compatibility and interface problems with other subsystems Provide timely production support and problem resolution Qualifications: Bachelor's Degree and a minimum of 12 years of prior relevant experience. Graduate Degree and a minimum of 10 years of prior related experience. In lieu of a degree, minimum of 16 years of prior related experience. Active Secret US Security Clearance Preferred Additional Skills: MBSE (Model Based Systems Engineering) DOORS, Jama, and Cameo experience Control system modeling using Matlab/Simulink Experience with cyber security Video transport and encoding (H.264, MISB and SMPTE standards) Video processing algorithms Understanding of defense products for the environments and platforms L3Harris supports Ability to effectively plan and organize projects and manage priorities Excellent organization and multi-tasking abilities with the ability to resolve conflicting priorities Strong mechanical and geo-spatial comprehension skills Strong interpersonal and facilitation skills Ability to communicate clearly (written and verbal) to technical and non-technical personnel Acute attention to detail and deadlines In compliance with pay transparency requirements, the salary range for this role in New York state is $140,500 - $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.
Applied Researcher I (AI Foundations, Recommendation Systems, Personalization, Reinforcement Learning) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. 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 building world-class applied science and engineering teams and continue 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 AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Data Preparation Publications studying tokenization, data quality, dataset curation, or labeling Contribution to a major open source corpus Contribution to open source libraries for data quality, dataset curation, or labeling 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: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I 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).
07/22/2026
Full time
Applied Researcher I (AI Foundations, Recommendation Systems, Personalization, Reinforcement Learning) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. 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 building world-class applied science and engineering teams and continue 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 AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Data Preparation Publications studying tokenization, data quality, dataset curation, or labeling Contribution to a major open source corpus Contribution to open source libraries for data quality, dataset curation, or labeling 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: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I 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 (LLM Customization and Finetuning) 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 Cambridge, MA: $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).
07/22/2026
Full time
Senior Lead AI Engineer (LLM Customization and Finetuning) 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 Cambridge, MA: $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).
