L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Technical Manager - Systems Engineering Job Code: 38532 Job Location: Rochester, New York Job Schedule: 9/80 (Every Other Friday Off!) Job Description: The Technical Manager - Systems Engineering provides technical and organizational leadership for the development, integration, and delivery of complex defense and aerospace systems. This role includes leadership of a team of Chief Systems Engineers who drive systems engineering activities across the full system lifecycle, from concept development and requirements definition through integration, verification, validation, production transition, and sustainment support. This hybrid management / practitioner role also includes practice as a Systems Engineer responsible for managing teams supporting mission-critical programs while ensuring alignment with customer needs, contractual obligations, airworthiness or mission assurance expectations, and organizational objectives. The ideal candidate brings strong people leadership, deep systems thinking, and demonstrated success leading multidisciplinary engineering efforts in a highly regulated aerospace and defense environment. Essential Functions: • Lead, mentor, and develop a team of systems engineers supporting defense and aerospace programs, platforms, or technology initiatives. • Direct experience in a Lead systems engineer or Chief systems engineer role driving execution across the program lifecycle, including concept of operations, requirements analysis, system architecture, interface definition, integration, verification, validation, and operational support. • Ensure technical execution aligns with customer requirements, program cost and schedule constraints, mission performance objectives, and contract deliverables. • Oversee development and maintenance of system requirements, interface control documentation, verification traceability, and technical baselines. • Contribute directly to program performance leveraging technical expertise and experience to system architecture, design, implementation, test, integration and sustainment. • Lead root cause corrective action investigations, provides independent review team perspective, participate in non-advocate reviews. • Lead technical planning, risk management, trade studies, design decision support, and system-level problem resolution. • Support major program reviews and customer reviews, including SRR, PDR, CDR, TRR, PRR, and related milestone events. • Collaborate with program management, chief engineers, software, hardware, test, manufacturing, quality, supply chain, and field support teams to ensure integrated program execution. • Drive compliance with defense, aerospace, safety, quality, airworthiness, cybersecurity, and mission assurance requirements, as applicable. • Manage staffing, workload planning, performance management, employee development, and succession planning within the systems engineering organization. • Provide technical leadership for integration and test planning, requirements verification, anomaly resolution, and qualification activities. • Support proposal efforts, technical volume development, basis of estimate preparation, technology roadmaps, and capture activities for new business opportunities. • Identify and mitigate technical, programmatic, and integration risks across complex system-of-systems environments. • Promote continuous improvement in systems engineering processes, digital engineering practices, MBSE adoption, and technical rigor. • Serve as a key interface to customers, suppliers, subcontractors, and senior leadership on program status, technical issues, and strategic engineering matters. Qualifications: • Bachelor's Degree and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience. • 9+ years of progressive engineering experience, including significant systems engineering experience in defense, aerospace, avionics, mission systems, C4ISR, weapons, space, radar, communications, or other complex regulated environments. • 5+ years of leadership experience managing technical teams, engineering organizations, or major engineering work scopes. • Ability to obtain and a secret security clearance Preferred Additional Skills: • Experience supporting space systems programs. • Master's degree in Systems Engineering, Aerospace Engineering, Engineering Management, or a related discipline. • Active security clearance. • Familiarity with model-based systems engineering tools and methods. • Experience with requirements and lifecycle management tools such as DOORS or similar platforms. • Knowledge of digital engineering, simulation, system modeling, and mission-level analysis approaches. • Experience with military standards, aerospace standards, mission assurance practices, and airworthiness or certification processes, as applicable. • INCOSE certification, PMP certification, or other relevant engineering leadership credentials. • Experience supporting competitive captures, proposal strategy, technical solution development, and customer briefings. • Understanding of cybersecurity, system safety, reliability, maintainability, and human systems integration considerations in defense systems. • Demonstrated success leading teams through complex integration, test, and fielding activities. • Ability to balance strategic technical leadership with day-to-day execution in a fast-paced, high-consequence environment. • Demonstrated experience applying systems engineering processes across the full lifecycle of complex aerospace or defense systems. • Experience with requirements decomposition, functional analysis, architecture development, interface management, integration, verification, validation, and configuration control. • Experience leading cross-functional engineering teams in a matrixed program environment. • Strong knowledge of DoD, aerospace, or other regulated development frameworks, technical review processes, and program execution disciplines. • Experience with technical risk management, failure analysis, root cause investigation, and corrective action planning. • Strong communication and presentation skills, with the ability to engage effectively with customers, program leadership, and executive stakeholders. • Familiarity with classified or export-controlled environments and the ability to work within those constraints. In compliance with pay transparency requirements, the salary range for this role in New York is $110,500 - $205,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work . click apply for full job details
07/28/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Technical Manager - Systems Engineering Job Code: 38532 Job Location: Rochester, New York Job Schedule: 9/80 (Every Other Friday Off!) Job Description: The Technical Manager - Systems Engineering provides technical and organizational leadership for the development, integration, and delivery of complex defense and aerospace systems. This role includes leadership of a team of Chief Systems Engineers who drive systems engineering activities across the full system lifecycle, from concept development and requirements definition through integration, verification, validation, production transition, and sustainment support. This hybrid management / practitioner role also includes practice as a Systems Engineer responsible for managing teams supporting mission-critical programs while ensuring alignment with customer needs, contractual obligations, airworthiness or mission assurance expectations, and organizational objectives. The ideal candidate brings strong people leadership, deep systems thinking, and demonstrated success leading multidisciplinary engineering efforts in a highly regulated aerospace and defense environment. Essential Functions: • Lead, mentor, and develop a team of systems engineers supporting defense and aerospace programs, platforms, or technology initiatives. • Direct experience in a Lead systems engineer or Chief systems engineer role driving execution across the program lifecycle, including concept of operations, requirements analysis, system architecture, interface definition, integration, verification, validation, and operational support. • Ensure technical execution aligns with customer requirements, program cost and schedule constraints, mission performance objectives, and contract deliverables. • Oversee development and maintenance of system requirements, interface control documentation, verification traceability, and technical baselines. • Contribute directly to program performance leveraging technical expertise and experience to system architecture, design, implementation, test, integration and sustainment. • Lead root cause corrective action investigations, provides independent review team perspective, participate in non-advocate reviews. • Lead technical planning, risk management, trade studies, design decision support, and system-level problem resolution. • Support major program reviews and customer reviews, including SRR, PDR, CDR, TRR, PRR, and related milestone events. • Collaborate with program management, chief engineers, software, hardware, test, manufacturing, quality, supply chain, and field support teams to ensure integrated program execution. • Drive compliance with defense, aerospace, safety, quality, airworthiness, cybersecurity, and mission assurance requirements, as applicable. • Manage staffing, workload planning, performance management, employee development, and succession planning within the systems engineering organization. • Provide technical leadership for integration and test planning, requirements verification, anomaly resolution, and qualification activities. • Support proposal efforts, technical volume development, basis of estimate preparation, technology roadmaps, and capture activities for new business opportunities. • Identify and mitigate technical, programmatic, and integration risks across complex system-of-systems environments. • Promote continuous improvement in systems engineering processes, digital engineering practices, MBSE adoption, and technical rigor. • Serve as a key interface to customers, suppliers, subcontractors, and senior leadership on program status, technical issues, and strategic engineering matters. Qualifications: • Bachelor's Degree and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience. • 9+ years of progressive engineering experience, including significant systems engineering experience in defense, aerospace, avionics, mission systems, C4ISR, weapons, space, radar, communications, or other complex regulated environments. • 5+ years of leadership experience managing technical teams, engineering organizations, or major engineering work scopes. • Ability to obtain and a secret security clearance Preferred Additional Skills: • Experience supporting space systems programs. • Master's degree in Systems Engineering, Aerospace Engineering, Engineering Management, or a related discipline. • Active security clearance. • Familiarity with model-based systems engineering tools and methods. • Experience with requirements and lifecycle management tools such as DOORS or similar platforms. • Knowledge of digital engineering, simulation, system modeling, and mission-level analysis approaches. • Experience with military standards, aerospace standards, mission assurance practices, and airworthiness or certification processes, as applicable. • INCOSE certification, PMP certification, or other relevant engineering leadership credentials. • Experience supporting competitive captures, proposal strategy, technical solution development, and customer briefings. • Understanding of cybersecurity, system safety, reliability, maintainability, and human systems integration considerations in defense systems. • Demonstrated success leading teams through complex integration, test, and fielding activities. • Ability to balance strategic technical leadership with day-to-day execution in a fast-paced, high-consequence environment. • Demonstrated experience applying systems engineering processes across the full lifecycle of complex aerospace or defense systems. • Experience with requirements decomposition, functional analysis, architecture development, interface management, integration, verification, validation, and configuration control. • Experience leading cross-functional engineering teams in a matrixed program environment. • Strong knowledge of DoD, aerospace, or other regulated development frameworks, technical review processes, and program execution disciplines. • Experience with technical risk management, failure analysis, root cause investigation, and corrective action planning. • Strong communication and presentation skills, with the ability to engage effectively with customers, program leadership, and executive stakeholders. • Familiarity with classified or export-controlled environments and the ability to work within those constraints. In compliance with pay transparency requirements, the salary range for this role in New York is $110,500 - $205,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work . click apply for full job details
US AMR-Jones Lang LaSalle Americas, Inc.
Wilson, North Carolina
JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Senior Facility Manager - GxP Life Sciences What this job involves - The Senior Facility Manager serves as the strategic leader and primary point of contact for a manufacturing site facilities and occupants, acting as the principal service provider liaison and trusted advisor to senior client stakeholders. This role ensures the JLL team-including employees and third-party partners-delivers comprehensive facility management and workplace services that maintain safe, code-compliant, functional, comfortable, energy-efficient, and attractive facilities and site infrastructure across complex manufacturing operations. Also, provides strategic oversight of multi-site operating expense budgets, capital planning initiatives, and long-term facility roadmaps. This position manages gray area (GAP) maintenance projects and capital improvement programs per client specifications and timelines, while championing cost-competitive and resource-efficient delivery methods for both high-volume small-dollar projects and strategic capital initiatives. The role embeds a culture of safety, compliance, operational excellence, and continuous improvement across new and established manufacturing sites while mentoring and developing facility management teams. What your day-to-day will look like: Serve as senior Client Relationship Manager and strategic advisor to executive stakeholders across multiple manufacturing sites, developing long-term facility management strategies aligned with client business objectives and expansion plans. Champion a "Safety First" culture enterprise-wide while serving as senior compliance leader, ensuring rigorous adherence to all EHS, GxP, SLA, KPI, and regulatory requirements across JLL teams and vendor partners in GMP manufacturing environments. Provide strategic oversight of all IFM services including operations, maintenance, utilities, engineering, janitorial, laboratory services, security, waste management, and capital planning across the portfolio. Master multi-site contract scope and proactively manage service delivery to exceed commitments while identifying opportunities to enhance customer experience, drive cost savings, and lead vendor consolidation initiatives. Establish strategic site-level and portfolio goals with senior leadership, ensuring 100% on-time completion of critical preventive maintenance, training programs, and audit responses while driving continuous improvement. Champion sustainability initiatives including demand response programs, zero-waste initiatives, renewable energy adoption, and measurable environmental performance improvements. Build and lead high-performing facility management teams through strategic talent acquisition, development, mentorship, and succession planning while driving employee engagement and championing diversity and inclusion. Provide strategic oversight of multi-site operating expenses and capital budgets, conducting variance analysis, developing comprehensive annual budgets and multi-year capital plans, and documenting measurable ROI on all savings initiatives. Drive innovation and business development by identifying scope expansion opportunities, leading complex service transitions, championing new technologies, and mentoring junior managers in client relationship management. Represent JLL at industry forums, client executive meetings, and professional organizations while leading benchmarking initiatives and continuous improvement using Lean, Six Sigma, or operational excellence methodologies. Required Qualifications: 10+ years of progressive Life Sciences facility management experience with demonstrated leadership in GMP manufacturing environments. Proven track record of successfully establishing, scaling, and optimizing operations at multiple manufacturing sites. Extensive experience leading multi-site facility management operations with P&L responsibility exceeding $10M annually. Extensive experience developing and supporting compliant Environmental, Health, and Safety (EHS) training programs in regulated manufacturing environments. Comprehensive understanding of GxP, FDA, and regulatory requirements in Life Sciences manufacturing environments. Proven experience leading capital planning, major renovation projects, and facility expansion initiatives. Experience with CMMS systems, Building Automation Systems (BAS), and facility management technology platforms. Strategic vendor management experience including contract negotiations, performance management, and partnership development. Demonstrated track record of delivering exceptional internal and external customer service aligned with JLL's Client Focus value. Strong change management and organizational development capabilities. Proven ability to thrive in fast-paced, complex, and ambiguous environments. Executive presence with ability to represent JLL at the highest levels of client organizations. Preferred Qualifications: Bachelor's degree required; Advanced degree (MBA, Master's in Engineering Management, or related field) Professional certifications such as CFM (Certified Facility Manager), PMP (Project Management Professional), or equivalent Location: Wilson, NC (on-site) This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship. Location: On-site -Wilson, NC Job Tags: If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: 401(k) plan with matching company contributions Comprehensive Medical, Dental & Vision Care Paid parental leave at 100% of salary Paid Time Off and Company Holidays Early access to earned wages through Daily Pay At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement . For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here . Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. Accepting applications on an ongoing basis until candidate identified.
07/28/2026
Full time
JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Senior Facility Manager - GxP Life Sciences What this job involves - The Senior Facility Manager serves as the strategic leader and primary point of contact for a manufacturing site facilities and occupants, acting as the principal service provider liaison and trusted advisor to senior client stakeholders. This role ensures the JLL team-including employees and third-party partners-delivers comprehensive facility management and workplace services that maintain safe, code-compliant, functional, comfortable, energy-efficient, and attractive facilities and site infrastructure across complex manufacturing operations. Also, provides strategic oversight of multi-site operating expense budgets, capital planning initiatives, and long-term facility roadmaps. This position manages gray area (GAP) maintenance projects and capital improvement programs per client specifications and timelines, while championing cost-competitive and resource-efficient delivery methods for both high-volume small-dollar projects and strategic capital initiatives. The role embeds a culture of safety, compliance, operational excellence, and continuous improvement across new and established manufacturing sites while mentoring and developing facility management teams. What your day-to-day will look like: Serve as senior Client Relationship Manager and strategic advisor to executive stakeholders across multiple manufacturing sites, developing long-term facility management strategies aligned with client business objectives and expansion plans. Champion a "Safety First" culture enterprise-wide while serving as senior compliance leader, ensuring rigorous adherence to all EHS, GxP, SLA, KPI, and regulatory requirements across JLL teams and vendor partners in GMP manufacturing environments. Provide strategic oversight of all IFM services including operations, maintenance, utilities, engineering, janitorial, laboratory services, security, waste management, and capital planning across the portfolio. Master multi-site contract scope and proactively manage service delivery to exceed commitments while identifying opportunities to enhance customer experience, drive cost savings, and lead vendor consolidation initiatives. Establish strategic site-level and portfolio goals with senior leadership, ensuring 100% on-time completion of critical preventive maintenance, training programs, and audit responses while driving continuous improvement. Champion sustainability initiatives including demand response programs, zero-waste initiatives, renewable energy adoption, and measurable environmental performance improvements. Build and lead high-performing facility management teams through strategic talent acquisition, development, mentorship, and succession planning while driving employee engagement and championing diversity and inclusion. Provide strategic oversight of multi-site operating expenses and capital budgets, conducting variance analysis, developing comprehensive annual budgets and multi-year capital plans, and documenting measurable ROI on all savings initiatives. Drive innovation and business development by identifying scope expansion opportunities, leading complex service transitions, championing new technologies, and mentoring junior managers in client relationship management. Represent JLL at industry forums, client executive meetings, and professional organizations while leading benchmarking initiatives and continuous improvement using Lean, Six Sigma, or operational excellence methodologies. Required Qualifications: 10+ years of progressive Life Sciences facility management experience with demonstrated leadership in GMP manufacturing environments. Proven track record of successfully establishing, scaling, and optimizing operations at multiple manufacturing sites. Extensive experience leading multi-site facility management operations with P&L responsibility exceeding $10M annually. Extensive experience developing and supporting compliant Environmental, Health, and Safety (EHS) training programs in regulated manufacturing environments. Comprehensive understanding of GxP, FDA, and regulatory requirements in Life Sciences manufacturing environments. Proven experience leading capital planning, major renovation projects, and facility expansion initiatives. Experience with CMMS systems, Building Automation Systems (BAS), and facility management technology platforms. Strategic vendor management experience including contract negotiations, performance management, and partnership development. Demonstrated track record of delivering exceptional internal and external customer service aligned with JLL's Client Focus value. Strong change management and organizational development capabilities. Proven ability to thrive in fast-paced, complex, and ambiguous environments. Executive presence with ability to represent JLL at the highest levels of client organizations. Preferred Qualifications: Bachelor's degree required; Advanced degree (MBA, Master's in Engineering Management, or related field) Professional certifications such as CFM (Certified Facility Manager), PMP (Project Management Professional), or equivalent Location: Wilson, NC (on-site) This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship. Location: On-site -Wilson, NC Job Tags: If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: 401(k) plan with matching company contributions Comprehensive Medical, Dental & Vision Care Paid parental leave at 100% of salary Paid Time Off and Company Holidays Early access to earned wages through Daily Pay At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement . For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here . Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. Accepting applications on an ongoing basis until candidate identified.
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services (AWS) Hardware Engineering team creates compute and storage server designs for Amazon's web services. Our engineers work with leading edge technologies, solve challenging problems, influence the industry's roadmaps, and develop new and unique solutions that are ahead of the pack. We work in an environment that fosters innovation and creativity. We encourage and invest in new directions and new ideas that will serve our customers better. We sometimes fail, but we learn from such failures and we improve. It is because of the team and our constant focus on the customers, that we are able to develop creative and new designs that set the standards on performance, quality, cost, and operational excellence. What you will do: As a member of the Server Hardware Engineering team you will own and lead the design and development of server products utilizing a wide range of design and manufacturing partners. You will work closely with our customers to understand their technical needs and business goals, leveraging your experience with server design and the knowledge of various teams to architect the solutions that we will deploy at scale. To deliver your products you will work with an interdisciplinary team of component, firmware, test, qualification, and integration engineers, and lead our design and manufacturing partners to bring these servers to the data center. After launch you will oversee the fleet of servers you develop, monitoring their quality and how they are meeting the customer requirements. This is a fast-paced, intellectually challenging position, and you'll work with thought leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your products' performance, quality, and cost. We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. Why you will love it: You will work directly with a talented team of engineers and product owners across the company to create next-generation hardware. You will have a direct impact on your customer's success, drive the development of the Cloud, and have a meaningful impact on Amazon's success. You will be part of a growing, fast paced, and fun team. Key job responsibilities - Lead technical solutions for complex compute, storage and/or accelerator server and rack system architectural challenges - Own end-to-end system reliability, proactively identifying and resolving deficiencies before customer impact - Design and implement solutions to address system-level issues at large scale - Decompose complex server system problems (testability, reliability, diagnostics) into deliverable tasks and features - Apply expertise across hardware, software, system design, x86 architecture, processes, and operations - Collaborate with hardware, software, manufacturing, supply chain and product management teams - Develop and implement diagnostic tools and monitoring solutions for production systems - Debug complex system failures in time sensitive settings About the team Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Amazon Web Services (AWS) values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Experience in developing functional specifications, design verification plans and functional test procedures - Experience in server technologies such as, thermal, mechanical, power, and signal integrity - Bachelors degree in Electrical/Computer Engineering or equivalent - 5+ years experience with design and manufacturing processes - 5+ years experience leading ODMs and other suppliers in the product development and manufacturing processes - In depth expertise in one or more server technologies such as Thermal / Mechanical design, high speed bus design and signal integrity, failure analysis, server components (e.g. CPU, NIC, FPGA, GPU, SSDs, drives), BIOS, BMC, and networking - Excellent written and oral communication skills PREFERRED QUALIFICATIONS - Master's degree in electrical engineering, computer engineering, or equivalent - Experience working with interdisciplinary teams to execute product design from concept to production - 10+ years years hardware development with a focus on system / server development in compute and/or storage server architecture and design for large scale applications - Expertise in early product definition and feature tradeoff analysis - Experience with server validation and issue root causing - Experience with deploying and operating hardware and applications across large data centers - Proficient scripting, debug abilities, and Linux operations commands - Experience with leading hardware and software development engineering teams Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 183 600.00 USD annually
07/27/2026
Full time
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services (AWS) Hardware Engineering team creates compute and storage server designs for Amazon's web services. Our engineers work with leading edge technologies, solve challenging problems, influence the industry's roadmaps, and develop new and unique solutions that are ahead of the pack. We work in an environment that fosters innovation and creativity. We encourage and invest in new directions and new ideas that will serve our customers better. We sometimes fail, but we learn from such failures and we improve. It is because of the team and our constant focus on the customers, that we are able to develop creative and new designs that set the standards on performance, quality, cost, and operational excellence. What you will do: As a member of the Server Hardware Engineering team you will own and lead the design and development of server products utilizing a wide range of design and manufacturing partners. You will work closely with our customers to understand their technical needs and business goals, leveraging your experience with server design and the knowledge of various teams to architect the solutions that we will deploy at scale. To deliver your products you will work with an interdisciplinary team of component, firmware, test, qualification, and integration engineers, and lead our design and manufacturing partners to bring these servers to the data center. After launch you will oversee the fleet of servers you develop, monitoring their quality and how they are meeting the customer requirements. This is a fast-paced, intellectually challenging position, and you'll work with thought leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your products' performance, quality, and cost. We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. Why you will love it: You will work directly with a talented team of engineers and product owners across the company to create next-generation hardware. You will have a direct impact on your customer's success, drive the development of the Cloud, and have a meaningful impact on Amazon's success. You will be part of a growing, fast paced, and fun team. Key job responsibilities - Lead technical solutions for complex compute, storage and/or accelerator server and rack system architectural challenges - Own end-to-end system reliability, proactively identifying and resolving deficiencies before customer impact - Design and implement solutions to address system-level issues at large scale - Decompose complex server system problems (testability, reliability, diagnostics) into deliverable tasks and features - Apply expertise across hardware, software, system design, x86 architecture, processes, and operations - Collaborate with hardware, software, manufacturing, supply chain and product management teams - Develop and implement diagnostic tools and monitoring solutions for production systems - Debug complex system failures in time sensitive settings About the team Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Amazon Web Services (AWS) values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Experience in developing functional specifications, design verification plans and functional test procedures - Experience in server technologies such as, thermal, mechanical, power, and signal integrity - Bachelors degree in Electrical/Computer Engineering or equivalent - 5+ years experience with design and manufacturing processes - 5+ years experience leading ODMs and other suppliers in the product development and manufacturing processes - In depth expertise in one or more server technologies such as Thermal / Mechanical design, high speed bus design and signal integrity, failure analysis, server components (e.g. CPU, NIC, FPGA, GPU, SSDs, drives), BIOS, BMC, and networking - Excellent written and oral communication skills PREFERRED QUALIFICATIONS - Master's degree in electrical engineering, computer engineering, or equivalent - Experience working with interdisciplinary teams to execute product design from concept to production - 10+ years years hardware development with a focus on system / server development in compute and/or storage server architecture and design for large scale applications - Expertise in early product definition and feature tradeoff analysis - Experience with server validation and issue root causing - Experience with deploying and operating hardware and applications across large data centers - Proficient scripting, debug abilities, and Linux operations commands - Experience with leading hardware and software development engineering teams Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 183 600.00 USD annually
About the Role & Team At Disney Consumer Products, we inspire imagination around the world and are committed to creating happiness for families and fans by bringing captivating, inspiring, and inclusive products into their daily lives. From toys to t-shirts, console games, books, and more, our team brings our beloved brands and franchises into the lives of families through products and experiences that can be found worldwide, such as the Disney Store e-commerce platform, Disney Parks, local and international retailers, and Disney Store locations around the world. The Senior Manager, Store Design is a knowledgeable specialist and strategic leader responsible for the end-to-end design and delivery of retail environments across Walt Disney Parks, Resorts, and Disney Signature Experiences, ensuring every space reflects Disney's storytelling, brand standards, and guest-centric excellence in our theme parks, resorts, cruise, vacation, travel, and retail destinations. This is a Full-Time role You will report to the Director, Store Design & Development What You Will Do In this management role, you will lead multiple related store design teams, guiding concept development, design execution, and project delivery for retail locations that support Walt Disney World and special locations creative, guest-focused, and consumer-driven business. You will set departmental strategies and priorities, allocate resources, and partner across operations, merchandising, facilities, and external vendors to deliver innovative, on-brand environments that elevate the guest and consumer experience. This role matters because it connects design vision to business goals, requiring a strategic, collaborative, detail-oriented leader who can mentor others, manage complexity, and drive results in a fast-paced, multi-project environment. Lead and manage day-to-day store design activities from concept through project completion, ensuring alignment with business goals, brand standards, and operational needs. Oversee the creation of design concepts, store layouts, finish selections, fixture design, and visual storytelling elements that bring Disney stories to life in retail environments. Provide leadership, coaching, and development to the Store Design & Development team, fostering collaboration, accountability, and an inclusive, team-oriented culture. Review, interpret, and provide direction on architectural drawings, engineering documents, and vendor shop drawings to ensure accuracy, adherence to design intent, and compliance with codes and standards. Drive project management excellence by managing multiple concurrent projects, ensuring deliverables meet established timelines, budgets, and quality expectations in fast-paced environments. Monitor and manage all design milestones and deliverables, proactively identifying risks and implementing solutions to maintain project momentum and schedule integrity. Resolve design issues quickly during construction and build-out phases, partnering with internal and external teams to protect design intent and guest experience. Lead cross-functional meetings to align design direction, communicate changes, and ensure seamless coordination across partners and stakeholders. Represent Store Design as the subject matter expert in internal and external forums, providing guidance, recommendations, and design leadership while influencing without direct authority. Build strong, collaborative relationships with partners across Operations, Merchandising, Facilities, Architecture & Engineering, and external vendors to support shared objectives and guest-focused outcomes. Contribute to departmental innovation by supporting pilot programs, process improvements, and new design initiatives that enhance creative, consumer, and operational performance. Ensure all projects reflect Disney's commitment to quality, storytelling, and exceptional guest experience across theme parks, resorts, cruise, and retail locations. Define strategies, expectations, and priorities that connect team responsibilities to company-wide goals, empowering teams to pursue solutions for both immediate and future challenges. Required Qualifications & Skills: Minimum 8+ years of experience in retail design, store planning, or related architectural design roles including branded architecture or experiential design, with a major retail company or top design agency. 3+ years of management experience leading professional design teams. Strong proficiency in reading and interpreting architectural and engineering documents, shop drawings, and specifications. Deep knowledge of building codes, retail design standards, and construction processes for store environments. Ability to communicate design concepts visually and verbally to leadership and cross-functional partners, including executive stakeholders. Proven ability to manage multiple fast-paced projects with strict adherence to budget, schedule, and quality requirements. Demonstrated success working within cross-functional teams and influencing without authority in a collaborative, team-oriented environment. Proficiency in Microsoft Office applications (Excel, Word, Project). Proficiency in 3D rendering and visualization tools and familiarity with CAD-based workflows. Strong organizational, analytical, and creative problem-solving skills; results-oriented, self-motivated, and able to operate independently while escalating appropriately. Preferred Qualifications: Experience in leadership roles within multi-unit or experiential retail environments such as theme parks, resorts, cruise, or destination retail. Expert skills in 3D modeling, CAD, and rendering tools (e.g., SketchUp, Rhino, 3DS, Enscape, VRay) and familiarity with Adobe Creative Suite for environmental and retail graphics. Education: Bachelor's Degree in Architecture, Interior Design, Construction Project Management, or related field with emphasis on retail or experiential environments preferred Additional Information: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities, and special extras that only Disney can provide. Learn more about our benefits and perks at . The hiring range for this position in Florida is $132,600 to $177,700 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
07/27/2026
Full time
About the Role & Team At Disney Consumer Products, we inspire imagination around the world and are committed to creating happiness for families and fans by bringing captivating, inspiring, and inclusive products into their daily lives. From toys to t-shirts, console games, books, and more, our team brings our beloved brands and franchises into the lives of families through products and experiences that can be found worldwide, such as the Disney Store e-commerce platform, Disney Parks, local and international retailers, and Disney Store locations around the world. The Senior Manager, Store Design is a knowledgeable specialist and strategic leader responsible for the end-to-end design and delivery of retail environments across Walt Disney Parks, Resorts, and Disney Signature Experiences, ensuring every space reflects Disney's storytelling, brand standards, and guest-centric excellence in our theme parks, resorts, cruise, vacation, travel, and retail destinations. This is a Full-Time role You will report to the Director, Store Design & Development What You Will Do In this management role, you will lead multiple related store design teams, guiding concept development, design execution, and project delivery for retail locations that support Walt Disney World and special locations creative, guest-focused, and consumer-driven business. You will set departmental strategies and priorities, allocate resources, and partner across operations, merchandising, facilities, and external vendors to deliver innovative, on-brand environments that elevate the guest and consumer experience. This role matters because it connects design vision to business goals, requiring a strategic, collaborative, detail-oriented leader who can mentor others, manage complexity, and drive results in a fast-paced, multi-project environment. Lead and manage day-to-day store design activities from concept through project completion, ensuring alignment with business goals, brand standards, and operational needs. Oversee the creation of design concepts, store layouts, finish selections, fixture design, and visual storytelling elements that bring Disney stories to life in retail environments. Provide leadership, coaching, and development to the Store Design & Development team, fostering collaboration, accountability, and an inclusive, team-oriented culture. Review, interpret, and provide direction on architectural drawings, engineering documents, and vendor shop drawings to ensure accuracy, adherence to design intent, and compliance with codes and standards. Drive project management excellence by managing multiple concurrent projects, ensuring deliverables meet established timelines, budgets, and quality expectations in fast-paced environments. Monitor and manage all design milestones and deliverables, proactively identifying risks and implementing solutions to maintain project momentum and schedule integrity. Resolve design issues quickly during construction and build-out phases, partnering with internal and external teams to protect design intent and guest experience. Lead cross-functional meetings to align design direction, communicate changes, and ensure seamless coordination across partners and stakeholders. Represent Store Design as the subject matter expert in internal and external forums, providing guidance, recommendations, and design leadership while influencing without direct authority. Build strong, collaborative relationships with partners across Operations, Merchandising, Facilities, Architecture & Engineering, and external vendors to support shared objectives and guest-focused outcomes. Contribute to departmental innovation by supporting pilot programs, process improvements, and new design initiatives that enhance creative, consumer, and operational performance. Ensure all projects reflect Disney's commitment to quality, storytelling, and exceptional guest experience across theme parks, resorts, cruise, and retail locations. Define strategies, expectations, and priorities that connect team responsibilities to company-wide goals, empowering teams to pursue solutions for both immediate and future challenges. Required Qualifications & Skills: Minimum 8+ years of experience in retail design, store planning, or related architectural design roles including branded architecture or experiential design, with a major retail company or top design agency. 3+ years of management experience leading professional design teams. Strong proficiency in reading and interpreting architectural and engineering documents, shop drawings, and specifications. Deep knowledge of building codes, retail design standards, and construction processes for store environments. Ability to communicate design concepts visually and verbally to leadership and cross-functional partners, including executive stakeholders. Proven ability to manage multiple fast-paced projects with strict adherence to budget, schedule, and quality requirements. Demonstrated success working within cross-functional teams and influencing without authority in a collaborative, team-oriented environment. Proficiency in Microsoft Office applications (Excel, Word, Project). Proficiency in 3D rendering and visualization tools and familiarity with CAD-based workflows. Strong organizational, analytical, and creative problem-solving skills; results-oriented, self-motivated, and able to operate independently while escalating appropriately. Preferred Qualifications: Experience in leadership roles within multi-unit or experiential retail environments such as theme parks, resorts, cruise, or destination retail. Expert skills in 3D modeling, CAD, and rendering tools (e.g., SketchUp, Rhino, 3DS, Enscape, VRay) and familiarity with Adobe Creative Suite for environmental and retail graphics. Education: Bachelor's Degree in Architecture, Interior Design, Construction Project Management, or related field with emphasis on retail or experiential environments preferred Additional Information: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities, and special extras that only Disney can provide. Learn more about our benefits and perks at . The hiring range for this position in Florida is $132,600 to $177,700 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Senior Lead AI Engineer (FM Hosting, LLM Inference) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Senior Lead AI Engineer (FM Hosting, LLM Inference) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Senior Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Senior Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Lead AI Engineer, Gen AI Platform 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. Sales Territory: $209,000 - $238,500 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Senior Lead AI Engineer, Gen AI Platform 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. Sales Territory: $209,000 - $238,500 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer 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).
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services is hiring a Senior Product Design Electrical Engineer with Busduct and/or Tap-Off Box (TOB) experience for our Electrical Products and Services team. The Electrical Products and Services Team is AWS's Data Center Engineering global engineering team, responsible for the design and continuous innovation for products used within our rapidly expanding data center footprint. The Electrical Products and Services team works to design and develop resilient, cost-effective electrical distribution products and systems. As an engineer at Amazon, we are responsible for achieving world class uptime for our customers. We drive continuous advancements and improvements with our designs and communicate technical direction to Senior Leadership. We seek new ways to enhance the reliability, scalability, and cost effectiveness of our engineering designs. As an engineer at Amazon, you can design, innovate, and improve the products our customers rely on. Amazon offers a fast-paced, fun, and exciting work environment. We continue to grow at exponential rates and are looking for individuals that can support our speed to market, enjoy a challenge, and have a desire for professional growth and continuous learning experiences. Amazon's work environment is unique in every aspect and offers an exceptional opportunity for the right candidate. If you are a natural leader, smart and worked with high performing team of engineers that enjoys working with complex problems we want you! At Amazon, you will be responsible for working on product designs and supporting our wide variety of customers. Great ideas are encouraged and supported. Ingenuity is the main mechanism which supports our focus on quality, speed, and cost. At Amazon, teamwork is absolutely necessary for us to accomplish our goals. You must be able to work within a team and depend on others to accomplish the required work. As a product engineer at Amazon, you will be working with other internal groups as well as external groups including engineering service providers, manufacturers, vendors, inspectors, third party testing labs and contractors. Amazon has a global presence. Travel will be necessary but shouldn't be more than 30%. International support will be part of the job, and some international travel may be necessary. Your contribution could consist of leading international projects and could require developing engineering information packages. An understanding of international electrical product design requirements is helpful but not necessary. Key job responsibilities - Work with internal partner teams to solicit customer input and define design requirements for product design. - Lead new product design, development and qualification of critical electrical power distribution equipment for AWS datacenters with primary focus on busduct systems and tap-off boxes (TOBs) as well as connecting dependencies with LV switchgear , power distribution cabinets, and rack-level power delivery. - Develop Capex and Opex spending budgets taking into account development costs with vendors, prototyping needs, testing and specialized tooling requirements. - Work with global suppliers and manufacturers to specify appropriate busduct and TOB components, ensuring tier 2-3 supply chain resiliency. - Ensure compliance with UL, CSA, IEC and federal, state and municipal requirements and building codes across different countries through appropriate levels of testing. - Validate design through prototype, pre-production and first-of-kind builds, conducting DFx and value engineering analysis through each step and updating design and documentation. - Work with field engineering and commissioning teams to properly test and validate installation, operation, and performance of busduct and TOB products. - Ability to provide support for manufacturing activities for the new products on concurrent projects in multiple geographical locations. - Be a leader within the product development team as well as within internal and external teams that support the data center. About the team Why AWS 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. Diverse Experiences 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. Work/Life Balance 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. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth 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 - 6+ years of data center design, construction, operations, or facility maintenance experience - Bachelor's degree in Engineering or a related field - Knowledge of critical data center mechanical and electrical equipment - Experience developing solutions and executing plans on complex projects - Experience in industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities - Experience researching new designs, technologies, and construction methods of data center equipment and facilities PREFERRED QUALIFICATIONS - Professional Engineering or Architectural License - Knowledge of building codes and regulations for your region - 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, OH, COLUMBUS - 136 800.00 USD annually USA, TX, Austin - 136 800.00 USD annually USA, VA, Herndon - 136 800.00 USD annually USA, WA, Seattle - 136 800.00 USD annually
07/27/2026
Full time
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services is hiring a Senior Product Design Electrical Engineer with Busduct and/or Tap-Off Box (TOB) experience for our Electrical Products and Services team. The Electrical Products and Services Team is AWS's Data Center Engineering global engineering team, responsible for the design and continuous innovation for products used within our rapidly expanding data center footprint. The Electrical Products and Services team works to design and develop resilient, cost-effective electrical distribution products and systems. As an engineer at Amazon, we are responsible for achieving world class uptime for our customers. We drive continuous advancements and improvements with our designs and communicate technical direction to Senior Leadership. We seek new ways to enhance the reliability, scalability, and cost effectiveness of our engineering designs. As an engineer at Amazon, you can design, innovate, and improve the products our customers rely on. Amazon offers a fast-paced, fun, and exciting work environment. We continue to grow at exponential rates and are looking for individuals that can support our speed to market, enjoy a challenge, and have a desire for professional growth and continuous learning experiences. Amazon's work environment is unique in every aspect and offers an exceptional opportunity for the right candidate. If you are a natural leader, smart and worked with high performing team of engineers that enjoys working with complex problems we want you! At Amazon, you will be responsible for working on product designs and supporting our wide variety of customers. Great ideas are encouraged and supported. Ingenuity is the main mechanism which supports our focus on quality, speed, and cost. At Amazon, teamwork is absolutely necessary for us to accomplish our goals. You must be able to work within a team and depend on others to accomplish the required work. As a product engineer at Amazon, you will be working with other internal groups as well as external groups including engineering service providers, manufacturers, vendors, inspectors, third party testing labs and contractors. Amazon has a global presence. Travel will be necessary but shouldn't be more than 30%. International support will be part of the job, and some international travel may be necessary. Your contribution could consist of leading international projects and could require developing engineering information packages. An understanding of international electrical product design requirements is helpful but not necessary. Key job responsibilities - Work with internal partner teams to solicit customer input and define design requirements for product design. - Lead new product design, development and qualification of critical electrical power distribution equipment for AWS datacenters with primary focus on busduct systems and tap-off boxes (TOBs) as well as connecting dependencies with LV switchgear , power distribution cabinets, and rack-level power delivery. - Develop Capex and Opex spending budgets taking into account development costs with vendors, prototyping needs, testing and specialized tooling requirements. - Work with global suppliers and manufacturers to specify appropriate busduct and TOB components, ensuring tier 2-3 supply chain resiliency. - Ensure compliance with UL, CSA, IEC and federal, state and municipal requirements and building codes across different countries through appropriate levels of testing. - Validate design through prototype, pre-production and first-of-kind builds, conducting DFx and value engineering analysis through each step and updating design and documentation. - Work with field engineering and commissioning teams to properly test and validate installation, operation, and performance of busduct and TOB products. - Ability to provide support for manufacturing activities for the new products on concurrent projects in multiple geographical locations. - Be a leader within the product development team as well as within internal and external teams that support the data center. About the team Why AWS 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. Diverse Experiences 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. Work/Life Balance 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. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth 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 - 6+ years of data center design, construction, operations, or facility maintenance experience - Bachelor's degree in Engineering or a related field - Knowledge of critical data center mechanical and electrical equipment - Experience developing solutions and executing plans on complex projects - Experience in industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities - Experience researching new designs, technologies, and construction methods of data center equipment and facilities PREFERRED QUALIFICATIONS - Professional Engineering or Architectural License - Knowledge of building codes and regulations for your region - 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, OH, COLUMBUS - 136 800.00 USD annually USA, TX, Austin - 136 800.00 USD annually USA, VA, Herndon - 136 800.00 USD annually USA, WA, Seattle - 136 800.00 USD annually
Senior Lead AI Engineer (SDK's: Gen AI Evaluation and MCP) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Senior Lead AI Engineer (SDK's: Gen AI Evaluation and MCP) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
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 technical infrastructure program managers, software engineers, data specialists, supply chain specialists, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for planning and execution while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services is hiring a Sr. Product Design Engineer for the Electrical Products and Services engineering team. This electrical product focused team is a part of a global engineering team, responsible for the design and continuous innovation for products used within our rapidly expanding data center foot print. The Electrical Product Engineering team at Amazon works to design and develop resilient, cost-effective electrical distribution products and systems. As engineers at Amazon, we are responsible for achieving a world class uptime for our customers. We justify and communicate the technical decisions we make to senior management and work hard to drive continuous advancements and improvements with our designs. As an engineer at Amazon, you have the ability to drive change and define/design the systems our customers rely on. Amazon offers a fast paced, fun, and exciting work environment. We continue to grow at exponential rates and are looking for individuals that can support our speed to market, enjoy a challenge, and have a desire for professional growth and continuous learning experiences. Amazon's work environment is unique in every aspect and offers an exceptional opportunity for the right candidate. We are seeking a Senior Design Engineer with an Electrical Engineering background with hands-on experience in new product design and development of electrical power distribution equipment and Uninterruptible Power Supply (UPS) systems. If you can design electrical power distribution product/s and equipment, help to successfully test the products per latest codes and standards using third party test laboratories then you will be a good fit. You will directly lead product design and development and be a part of the process from concept to implementation. You must be capable of defining equipment specifications and evaluating the merit of design changes. You will be relied on as a subject matter expert in the product design field At Amazon, teamwork is absolutely necessary for us to accomplish our goals. You must be able to work within a team and depend on others to accomplish the required work. As a product engineer at Amazon, you will be working with other internal groups as well as external groups including engineering service providers, manufacturers, vendors, inspectors, third party testing labs and contractors. Amazon has a global presence. Travel will be necessary but shouldn't be more than 30%. International support will be part of the job, and some international travel may be necessary. Your contribution could consist of leading international projects and could require developing engineering information packages. An understanding of international electrical product design requirements is helpful but not necessary. Key job responsibilities - Supports the Data Center Design Engineering, Principal Engineering, and Hardware Engineering teams to design and develop innovative concepts into new products needed for power distribution for data center. - Lead new product design, development and work with internal teams to understand design requirements and solicit customer input. - Collaborate with other disciplines such as mechanical and structural engineering, reliability, QA/QC and compliance to create well thought out products. - Creation of designs which meet or exceed our quality requirements while delivering a return on investment. - Work with global suppliers and manufacturers to specify appropriate electrical equipment, devices and bill of materials. - Ensure compliance with federal, state and municipal requirements and building codes across different countries. - Prepare, Review and approval of product design and drawings including electrical bill of materials, configuration, layouts, assembly, construction and electrical wiring drawings. - Define project scope and provide technical support for information requests prior to, and during manufacturing phases. - Work with field engineering and commissioning teams to properly set up test processes and validate installation, operation, and performance of electrical products. - Ability to work on concurrent projects in multiple geographical regions. - Be a leader within the group as well as within internal and external teams that support the data center. About the team Why AWS 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. Diverse Experiences 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. Work/Life Balance 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. Inclusive Team Culture 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 (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth 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 - Bachelor's degree in Engineering or a related field - 8+ Years of experience of Electrical Product Design for Power Distribution Equipment or UPS; OR 8+ years of Data Center or Mission-Critical Design, Construction, or Operations PREFERRED QUALIFICATIONS - Professional Engineering or Architectural License - Knowledge of building codes and regulations for your region - 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, OH, COLUMBUS - 136 800.00 USD annually USA, TX, Austin - 136 800.00 USD annually USA, VA, Herndon - 136 800.00 USD annually
07/27/2026
Full time
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of technical infrastructure program managers, software engineers, data specialists, supply chain specialists, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for planning and execution while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services is hiring a Sr. Product Design Engineer for the Electrical Products and Services engineering team. This electrical product focused team is a part of a global engineering team, responsible for the design and continuous innovation for products used within our rapidly expanding data center foot print. The Electrical Product Engineering team at Amazon works to design and develop resilient, cost-effective electrical distribution products and systems. As engineers at Amazon, we are responsible for achieving a world class uptime for our customers. We justify and communicate the technical decisions we make to senior management and work hard to drive continuous advancements and improvements with our designs. As an engineer at Amazon, you have the ability to drive change and define/design the systems our customers rely on. Amazon offers a fast paced, fun, and exciting work environment. We continue to grow at exponential rates and are looking for individuals that can support our speed to market, enjoy a challenge, and have a desire for professional growth and continuous learning experiences. Amazon's work environment is unique in every aspect and offers an exceptional opportunity for the right candidate. We are seeking a Senior Design Engineer with an Electrical Engineering background with hands-on experience in new product design and development of electrical power distribution equipment and Uninterruptible Power Supply (UPS) systems. If you can design electrical power distribution product/s and equipment, help to successfully test the products per latest codes and standards using third party test laboratories then you will be a good fit. You will directly lead product design and development and be a part of the process from concept to implementation. You must be capable of defining equipment specifications and evaluating the merit of design changes. You will be relied on as a subject matter expert in the product design field At Amazon, teamwork is absolutely necessary for us to accomplish our goals. You must be able to work within a team and depend on others to accomplish the required work. As a product engineer at Amazon, you will be working with other internal groups as well as external groups including engineering service providers, manufacturers, vendors, inspectors, third party testing labs and contractors. Amazon has a global presence. Travel will be necessary but shouldn't be more than 30%. International support will be part of the job, and some international travel may be necessary. Your contribution could consist of leading international projects and could require developing engineering information packages. An understanding of international electrical product design requirements is helpful but not necessary. Key job responsibilities - Supports the Data Center Design Engineering, Principal Engineering, and Hardware Engineering teams to design and develop innovative concepts into new products needed for power distribution for data center. - Lead new product design, development and work with internal teams to understand design requirements and solicit customer input. - Collaborate with other disciplines such as mechanical and structural engineering, reliability, QA/QC and compliance to create well thought out products. - Creation of designs which meet or exceed our quality requirements while delivering a return on investment. - Work with global suppliers and manufacturers to specify appropriate electrical equipment, devices and bill of materials. - Ensure compliance with federal, state and municipal requirements and building codes across different countries. - Prepare, Review and approval of product design and drawings including electrical bill of materials, configuration, layouts, assembly, construction and electrical wiring drawings. - Define project scope and provide technical support for information requests prior to, and during manufacturing phases. - Work with field engineering and commissioning teams to properly set up test processes and validate installation, operation, and performance of electrical products. - Ability to work on concurrent projects in multiple geographical regions. - Be a leader within the group as well as within internal and external teams that support the data center. About the team Why AWS 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. Diverse Experiences 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. Work/Life Balance 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. Inclusive Team Culture 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 (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth 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 - Bachelor's degree in Engineering or a related field - 8+ Years of experience of Electrical Product Design for Power Distribution Equipment or UPS; OR 8+ years of Data Center or Mission-Critical Design, Construction, or Operations PREFERRED QUALIFICATIONS - Professional Engineering or Architectural License - Knowledge of building codes and regulations for your region - 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, OH, COLUMBUS - 136 800.00 USD annually USA, TX, Austin - 136 800.00 USD annually USA, VA, Herndon - 136 800.00 USD annually
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary We are looking for a Senior Product Manager to help define and drive the strategy and roadmap for Cloud Volumes ONTAP. This role is ideal for a strong senior individual contributor who combines customer focus, technical depth, and business judgment to shape product direction and deliver measurable outcomes. The successful candidate will work closely with GTM, cloud partners, and customers to identify growth opportunities, prioritize investments, and bring innovative capabilities to market. Success in this role depends on translating customer and market needs into clear product decisions, helping NetApp strengthen its leadership in hybrid and multi-cloud data management, and driving meaningful business impact. Job Responsibility Drive product strategy and business plans for Cloud Volumes ONTAP using a customer-centric and data-driven approach. Own key parts of the product lifecycle, including planning, roadmap development, prioritization in close partnership with cross-functional stakeholders. Define and prioritize technical requirements that support differentiated value across cloud storage, data management, automation, and operational simplicity. Work directly with major cloud providers including AWS, Microsoft Azure, and Google Cloud to ensure strong integration, alignment with partner priorities, and joint success. Lead the definition and integration of AI-driven and automation capabilities that improve usability, intelligence, and operational efficiency. Gather and synthesize customer feedback, usage data, and market insights to identify product opportunities, improve customer experience, and inform roadmap decisions. Monitor industry trends, competitive dynamics, and adjacent technologies to help position the product effectively and identify future growth areas. Partner closely with GTM, product marketing, support, and field teams to ensure strong product positioning, launch readiness, and customer adoption. Create clear product documentation and support launch materials, messaging, and internal enablement. Establish and track key performance indicators (KPIs) to measure product adoption, customer value, and business outcomes. Lead cross-functional collaboration to align stakeholders, resolve trade-offs, and deliver impactful product outcomes. Act as a strong internal advocate for customer needs, product clarity, and execution excellence. Job Requirements 10+ years of product management experience in, enterprise software, cloud, or storage technology businesses. Proven experience delivering technology products from concept through launch and ongoing iteration. Strong experience working across engineering, product management, GTM, marketing, support, and partner teams. Experience with cloud technologies is required; experience with storage technologies is a strong advantage. Familiarity with cloud platforms and IaaS/PaaS products, especially AWS, Microsoft Azure, and Google Cloud. Proven ability to define product requirements, prioritize effectively, and drive execution across multiple projects and stakeholders. Experience using customer insights, usage analytics, and market data to guide product decisions. Understanding of AI-driven product capabilities, automation, and emerging trends in enterprise software is an advantage. Familiarity with AI governance, compliance, and security considerations is an advantage. Strong analytical, communication, and presentation skills. Demonstrated ability to influence cross-functional teams and drive alignment without relying solely on formal authority. Comfortable working in a fast-paced, dynamic environment with a strong sense of ownership and bias for action. Demonstrated focus on driving measurable customer and business outcomes. Education Bachelor of Science Degree in Computer Science, a master's degree; or equivalent experience is required. Compensation: The target salary range for this position is 196,350 - 292,600 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings' (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, employee stock purchase plan, and/or restricted stocks (RSU's). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
07/27/2026
Full time
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary We are looking for a Senior Product Manager to help define and drive the strategy and roadmap for Cloud Volumes ONTAP. This role is ideal for a strong senior individual contributor who combines customer focus, technical depth, and business judgment to shape product direction and deliver measurable outcomes. The successful candidate will work closely with GTM, cloud partners, and customers to identify growth opportunities, prioritize investments, and bring innovative capabilities to market. Success in this role depends on translating customer and market needs into clear product decisions, helping NetApp strengthen its leadership in hybrid and multi-cloud data management, and driving meaningful business impact. Job Responsibility Drive product strategy and business plans for Cloud Volumes ONTAP using a customer-centric and data-driven approach. Own key parts of the product lifecycle, including planning, roadmap development, prioritization in close partnership with cross-functional stakeholders. Define and prioritize technical requirements that support differentiated value across cloud storage, data management, automation, and operational simplicity. Work directly with major cloud providers including AWS, Microsoft Azure, and Google Cloud to ensure strong integration, alignment with partner priorities, and joint success. Lead the definition and integration of AI-driven and automation capabilities that improve usability, intelligence, and operational efficiency. Gather and synthesize customer feedback, usage data, and market insights to identify product opportunities, improve customer experience, and inform roadmap decisions. Monitor industry trends, competitive dynamics, and adjacent technologies to help position the product effectively and identify future growth areas. Partner closely with GTM, product marketing, support, and field teams to ensure strong product positioning, launch readiness, and customer adoption. Create clear product documentation and support launch materials, messaging, and internal enablement. Establish and track key performance indicators (KPIs) to measure product adoption, customer value, and business outcomes. Lead cross-functional collaboration to align stakeholders, resolve trade-offs, and deliver impactful product outcomes. Act as a strong internal advocate for customer needs, product clarity, and execution excellence. Job Requirements 10+ years of product management experience in, enterprise software, cloud, or storage technology businesses. Proven experience delivering technology products from concept through launch and ongoing iteration. Strong experience working across engineering, product management, GTM, marketing, support, and partner teams. Experience with cloud technologies is required; experience with storage technologies is a strong advantage. Familiarity with cloud platforms and IaaS/PaaS products, especially AWS, Microsoft Azure, and Google Cloud. Proven ability to define product requirements, prioritize effectively, and drive execution across multiple projects and stakeholders. Experience using customer insights, usage analytics, and market data to guide product decisions. Understanding of AI-driven product capabilities, automation, and emerging trends in enterprise software is an advantage. Familiarity with AI governance, compliance, and security considerations is an advantage. Strong analytical, communication, and presentation skills. Demonstrated ability to influence cross-functional teams and drive alignment without relying solely on formal authority. Comfortable working in a fast-paced, dynamic environment with a strong sense of ownership and bias for action. Demonstrated focus on driving measurable customer and business outcomes. Education Bachelor of Science Degree in Computer Science, a master's degree; or equivalent experience is required. Compensation: The target salary range for this position is 196,350 - 292,600 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings' (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, employee stock purchase plan, and/or restricted stocks (RSU's). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
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 - SEIT IPT - Sign-on bonuses between $15,000K - $25,000K Job Code : 37866 Job Location: Waco, TX Schedule: 9/80 Job Description: L3Harris is actively seeking a Project Engineer - SEIT IPT LEAD to support the execution of complex, specialized hardware/software systems installed on airborne platforms. In this role, the candidate will be responsible for ensuring the program technical development is performed to meet all technical, cost, and schedule requirements and that the final design meets all customer requirements. This includes but is not limited to: Planning and execution of program activities Documenting and approval of program plans Ensuring life-cycle process adherence Risk identification and management Customer and Senior Leadership interaction Overall program coordination during the program lifecycle The individual Engineering Functional Task Leaders (Systems Engineering, Software Engineering, Aeronautical Engineering, Specialty Engineering, Logistic Engineering, Technical Publications, etc.) report to and take direction from the Project Engineer for the assigned program operations. In addition, Project Engineers are the key technical interfaces to Customers and have the responsibility to interact with Customers at every phase of the program lifecycle. Essential Functions: Support planning, execution, and oversight of SEIT activities across the full program lifecycle. Coordinate system engineering, integration, verification, validation, and test efforts to meet program objectives. Translate customer and contractual requirements into actionable technical plans and engineering tasks. Lead cross-functional coordination between systems engineering, design engineering, software, test, manufacturing, quality, and program management. Track Engineering Performance Metrics and brief program status on a monthly basis to senior engineering leadership Track cost and schedule execution and be able to explain any variances and the path to get back to program targets Ensure program execution and Bid/Proposal development are in accordance with engineering processes and policies Support development of system architectures, functional decompositions, interface definitions, and verification approaches. Plan and coordinate integration activities for subsystems, components, and end-item configurations. Oversee preparation for integration events, lab testing, ground testing, environmental testing, and flight testing as applicable. Ensure verification and validation activities are aligned with requirements and customer expectations. Manage technical schedules, action items, risks, opportunities, and issue resolution related to SEIT scope. Support requirements traceability between customer requirements, design requirements, verification activities, and certification evidence. 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. Demonstrated experience understanding of engineering processes and policies Demonstrated experience in Bid and Proposal development Ability to travel as needed based on business demands Demonstrated experience in one of the following disciplines: Aero Engineering (Mechanical, Electrical, Flight Sciences) Software/Hardware Engineering Systems Engineering (including Test Engineering) Project Engineering Preferred Additional Skills: Demonstrated experience in leadership by being a Task Leader, IPT Leader, and/or Functional Manager, or other similar leadership roles 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.
07/27/2026
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 - SEIT IPT - Sign-on bonuses between $15,000K - $25,000K Job Code : 37866 Job Location: Waco, TX Schedule: 9/80 Job Description: L3Harris is actively seeking a Project Engineer - SEIT IPT LEAD to support the execution of complex, specialized hardware/software systems installed on airborne platforms. In this role, the candidate will be responsible for ensuring the program technical development is performed to meet all technical, cost, and schedule requirements and that the final design meets all customer requirements. This includes but is not limited to: Planning and execution of program activities Documenting and approval of program plans Ensuring life-cycle process adherence Risk identification and management Customer and Senior Leadership interaction Overall program coordination during the program lifecycle The individual Engineering Functional Task Leaders (Systems Engineering, Software Engineering, Aeronautical Engineering, Specialty Engineering, Logistic Engineering, Technical Publications, etc.) report to and take direction from the Project Engineer for the assigned program operations. In addition, Project Engineers are the key technical interfaces to Customers and have the responsibility to interact with Customers at every phase of the program lifecycle. Essential Functions: Support planning, execution, and oversight of SEIT activities across the full program lifecycle. Coordinate system engineering, integration, verification, validation, and test efforts to meet program objectives. Translate customer and contractual requirements into actionable technical plans and engineering tasks. Lead cross-functional coordination between systems engineering, design engineering, software, test, manufacturing, quality, and program management. Track Engineering Performance Metrics and brief program status on a monthly basis to senior engineering leadership Track cost and schedule execution and be able to explain any variances and the path to get back to program targets Ensure program execution and Bid/Proposal development are in accordance with engineering processes and policies Support development of system architectures, functional decompositions, interface definitions, and verification approaches. Plan and coordinate integration activities for subsystems, components, and end-item configurations. Oversee preparation for integration events, lab testing, ground testing, environmental testing, and flight testing as applicable. Ensure verification and validation activities are aligned with requirements and customer expectations. Manage technical schedules, action items, risks, opportunities, and issue resolution related to SEIT scope. Support requirements traceability between customer requirements, design requirements, verification activities, and certification evidence. 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. Demonstrated experience understanding of engineering processes and policies Demonstrated experience in Bid and Proposal development Ability to travel as needed based on business demands Demonstrated experience in one of the following disciplines: Aero Engineering (Mechanical, Electrical, Flight Sciences) Software/Hardware Engineering Systems Engineering (including Test Engineering) Project Engineering Preferred Additional Skills: Demonstrated experience in leadership by being a Task Leader, IPT Leader, and/or Functional Manager, or other similar leadership roles 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 Software Engineering Manager (SW Release Manager for Type-1 Radio Platform) Job Code: 38296 Job Location: Rochester, NY Job Schedule: 9/80: Employees work 9 out of every 14 days- totaling 80 hours worked- and have every other Friday off Job Description: We are looking for a strong leader to take over as the release manager for one of our flagship multi-channel Type-1 radio platforms. Responsible as cost account manager for >$4M of scope per year. Coordinates with 12+ engineering and test teams to ensure overall release schedule is met. Additionally, the release manager coordinates with the factory and the hardware team to support any changes needed for parts obsolescence and failures in the factory that impact production. Supports estimates for both programs and IRAD projects related to the radio. Will directly supervise >10 SW engineers and is responsible for their career development. Essential Functions: Lead one or more scrum teams to deliver new features within agreed upon schedule and budget Coordinates between other teams to ensure overall project schedule is met within quality expectations. Supervisor for 10+ SW engineers Supports factory production and HW obsolescence issues to ensure radio production can be maintained Must be able to obtain a US Secret clearance Qualifications: Bachelor's Degree with a minimum of 12 years of prior related experience. Graduate Degree with a minimum of 10 years of prior related experience. In lieu of a degree, minimum of 16 years of prior related experience. Preferred Additional Skills: Experience in an Agile Scrum development environment Embedded SW development experience In compliance with pay transparency requirements, the salary range for this role in NY State is $140,500 to $261,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
07/27/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Software Engineering Manager (SW Release Manager for Type-1 Radio Platform) Job Code: 38296 Job Location: Rochester, NY Job Schedule: 9/80: Employees work 9 out of every 14 days- totaling 80 hours worked- and have every other Friday off Job Description: We are looking for a strong leader to take over as the release manager for one of our flagship multi-channel Type-1 radio platforms. Responsible as cost account manager for >$4M of scope per year. Coordinates with 12+ engineering and test teams to ensure overall release schedule is met. Additionally, the release manager coordinates with the factory and the hardware team to support any changes needed for parts obsolescence and failures in the factory that impact production. Supports estimates for both programs and IRAD projects related to the radio. Will directly supervise >10 SW engineers and is responsible for their career development. Essential Functions: Lead one or more scrum teams to deliver new features within agreed upon schedule and budget Coordinates between other teams to ensure overall project schedule is met within quality expectations. Supervisor for 10+ SW engineers Supports factory production and HW obsolescence issues to ensure radio production can be maintained Must be able to obtain a US Secret clearance Qualifications: Bachelor's Degree with a minimum of 12 years of prior related experience. Graduate Degree with a minimum of 10 years of prior related experience. In lieu of a degree, minimum of 16 years of prior related experience. Preferred Additional Skills: Experience in an Agile Scrum development environment Embedded SW development experience In compliance with pay transparency requirements, the salary range for this role in NY State is $140,500 to $261,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
Are you a leader who wants to own critical, highly scalable systems, and foster innovation? Can you attract and grow the engineering talent needed for those kinds of challenges? Are you skilled at managing complex projects that require interacting with multiple stakeholders while staying close to the detail? The Control Plane team owns the network control plane protocols for the switches in the Amazon network and is part of the NPD (Network Product Development) team. As a leader in this team, you will dive deep to understand Amazon's network architecture and partner with our routing protocol communities, network engineering, peer software teams and other AWS service teams to develop and operate the control plane software that powers Amazon's network device platforms. You will own the software quality and speed of delivery of all new solutions and identify opportunities to invent and simplify the systems used throughout the AWS network. We are looking for a software leader to lead a team of engineers to realize our vision of delivering and owning the world's fastest and most reliable network. The successful candidate is expected to be a technical manager who can deliver through a high performing engineering team and who understands and sets a high bar for all parts of the software development, deployment, and operational life cycle including: design, development, documentation, testing and operations. You must possess strong verbal and written communication skills, be self-driven and deliver high quality results in a fast-paced environment. We're looking for people who are smart and can get things done. How do we operate in our team? We empower our leaders to take ownership of their realm and make a difference. In AWS, we are nimble and agile, like being part of a startup, innovating while collaborating with a smart group of people around you. We are thrilled about how software is changing the landscape of networking. We operate on an unimaginable scale. Why would you want to work on AWS Networking? We are making history! We have some of the largest data center networks in the world and we don't stop growing. Innovation: we own both the network and the devices, so we can innovate in a way that others cannot. Very large impact: everything AWS does is built on networks using these devices. What will you be doing here? Work backwards from customer needs, build and track business metrics by which the team works to improve customer impact Plan, develop, deploy and maintain network control plane protocols, routing stacks, and lifecycle management software for a highly scaled network Recruit, coach and mentor senior and junior software engineers Work with management, customers and adjacent development teams to build state of the art solutions, incorporate new technologies, and algorithms Set quality standards, build mechanisms and processes for team efficiency, continuously inventing and simplifying 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. About the team Why AWS 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. Diverse Experiences 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. Work/Life Balance 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. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth 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. Working at AWS in the Core Networking Team • Meet Matt, Director, Core Networking BASIC QUALIFICATIONS - 3+ years of engineering team management experience - 7+ years of engineering experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams PREFERRED QUALIFICATIONS - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 212 700.00 USD annually
07/27/2026
Full time
Are you a leader who wants to own critical, highly scalable systems, and foster innovation? Can you attract and grow the engineering talent needed for those kinds of challenges? Are you skilled at managing complex projects that require interacting with multiple stakeholders while staying close to the detail? The Control Plane team owns the network control plane protocols for the switches in the Amazon network and is part of the NPD (Network Product Development) team. As a leader in this team, you will dive deep to understand Amazon's network architecture and partner with our routing protocol communities, network engineering, peer software teams and other AWS service teams to develop and operate the control plane software that powers Amazon's network device platforms. You will own the software quality and speed of delivery of all new solutions and identify opportunities to invent and simplify the systems used throughout the AWS network. We are looking for a software leader to lead a team of engineers to realize our vision of delivering and owning the world's fastest and most reliable network. The successful candidate is expected to be a technical manager who can deliver through a high performing engineering team and who understands and sets a high bar for all parts of the software development, deployment, and operational life cycle including: design, development, documentation, testing and operations. You must possess strong verbal and written communication skills, be self-driven and deliver high quality results in a fast-paced environment. We're looking for people who are smart and can get things done. How do we operate in our team? We empower our leaders to take ownership of their realm and make a difference. In AWS, we are nimble and agile, like being part of a startup, innovating while collaborating with a smart group of people around you. We are thrilled about how software is changing the landscape of networking. We operate on an unimaginable scale. Why would you want to work on AWS Networking? We are making history! We have some of the largest data center networks in the world and we don't stop growing. Innovation: we own both the network and the devices, so we can innovate in a way that others cannot. Very large impact: everything AWS does is built on networks using these devices. What will you be doing here? Work backwards from customer needs, build and track business metrics by which the team works to improve customer impact Plan, develop, deploy and maintain network control plane protocols, routing stacks, and lifecycle management software for a highly scaled network Recruit, coach and mentor senior and junior software engineers Work with management, customers and adjacent development teams to build state of the art solutions, incorporate new technologies, and algorithms Set quality standards, build mechanisms and processes for team efficiency, continuously inventing and simplifying 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. About the team Why AWS 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. Diverse Experiences 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. Work/Life Balance 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. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth 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. Working at AWS in the Core Networking Team • Meet Matt, Director, Core Networking BASIC QUALIFICATIONS - 3+ years of engineering team management experience - 7+ years of engineering experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams PREFERRED QUALIFICATIONS - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 212 700.00 USD annually
Amazon Web Services (AWS) is the world leader in providing a highly reliable, scalable, low-cost infrastructure platform in the cloud powering hundreds of thousands of businesses in hundreds of countries around the world. As part of the AWS Infrastructure organization, Data Center Planning and Delivery (DCPD) prepares for, plans, and builds the data centers that comprise the AWS cloud. We are seeking an experienced Program Manager to work alongside a talented team of Technical Infrastructure Program Managers, Business Development executives, Construction Program managers and Energy PMs to help us deliver Data Center Capacity for our customers worldwide. The role will involve working in a fast paced environment and you will be leading programs to drive operational excellence and process improvements across a number of cross functional projects. If you love being at the forefront of industry growth and development, applying your analytical skills to derive insights and come up with solutions, then this is the right role for you. This is a role offering an opportunity work cross-functionally and across multiple regions. You will have the opportunity to build new programs ground up and scale existing programs/ initiatives. The Program Manager will: - Create funding request narratives to provide concise, clear, and consistent details describing how requested funding supports customers by delivering needed capacity. - Drive effective teamwork, communication, collaboration across multiple disparate groups with competing priorities to assemble business reports and capacity delivery funding requests. - Maintain funding request progress tracker to ensure requests' timing aligns with leadership review timelines, allows for capacity delivery on time to support customer needs, and provides partner teams data to resource plan to support the funding request assembly process. - Determine and monitor key metrics to measure and evaluate program performance - Develop process improvement ideas to drive improvements to the manual parts of the process under your control and recommend solutions to other teams for improvements to the overall process. - Collaborate with technical program managers and demand/supply planners on the team in order to competently represent the team to other stakeholder groups. - Own project status communication consistently providing clear and concise summaries for the team's funding requests to leadership. - Have a good working relationship with finance, build teams, sourcing partners, supply and demand teams, and other teams as needed. Recognize discordant views and lead constructive dialogue to resolve them. - Proactively mitigate risks to delivering capacity by following through on funding request approvals throughout the process. About the team 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. About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? 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. Inclusive Team Culture 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. Mentorship & Career Growth 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. Work/Life Balance 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. BASIC QUALIFICATIONS - 4+ years of program or project management experience - 4+ years of defining and implementing process improvement initiatives using data and metrics experience - Experience using data and metrics to determine and drive improvements - Experience working cross functionally with tech and non-tech teams - Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL - Bachelor's degree in Business Administration, Finance, Economics, Computer Science, Engineering, or related field PREFERRED QUALIFICATIONS - 4+ years of driving process improvements experience - 4+ years of driving end to end delivery, and communicating results to senior leadership experience - Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization - Experience building processes, project management, and schedules 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, WA, Seattle - 82 800.00 USD annually
07/27/2026
Full time
Amazon Web Services (AWS) is the world leader in providing a highly reliable, scalable, low-cost infrastructure platform in the cloud powering hundreds of thousands of businesses in hundreds of countries around the world. As part of the AWS Infrastructure organization, Data Center Planning and Delivery (DCPD) prepares for, plans, and builds the data centers that comprise the AWS cloud. We are seeking an experienced Program Manager to work alongside a talented team of Technical Infrastructure Program Managers, Business Development executives, Construction Program managers and Energy PMs to help us deliver Data Center Capacity for our customers worldwide. The role will involve working in a fast paced environment and you will be leading programs to drive operational excellence and process improvements across a number of cross functional projects. If you love being at the forefront of industry growth and development, applying your analytical skills to derive insights and come up with solutions, then this is the right role for you. This is a role offering an opportunity work cross-functionally and across multiple regions. You will have the opportunity to build new programs ground up and scale existing programs/ initiatives. The Program Manager will: - Create funding request narratives to provide concise, clear, and consistent details describing how requested funding supports customers by delivering needed capacity. - Drive effective teamwork, communication, collaboration across multiple disparate groups with competing priorities to assemble business reports and capacity delivery funding requests. - Maintain funding request progress tracker to ensure requests' timing aligns with leadership review timelines, allows for capacity delivery on time to support customer needs, and provides partner teams data to resource plan to support the funding request assembly process. - Determine and monitor key metrics to measure and evaluate program performance - Develop process improvement ideas to drive improvements to the manual parts of the process under your control and recommend solutions to other teams for improvements to the overall process. - Collaborate with technical program managers and demand/supply planners on the team in order to competently represent the team to other stakeholder groups. - Own project status communication consistently providing clear and concise summaries for the team's funding requests to leadership. - Have a good working relationship with finance, build teams, sourcing partners, supply and demand teams, and other teams as needed. Recognize discordant views and lead constructive dialogue to resolve them. - Proactively mitigate risks to delivering capacity by following through on funding request approvals throughout the process. About the team 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. About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? 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. Inclusive Team Culture 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. Mentorship & Career Growth 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. Work/Life Balance 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. BASIC QUALIFICATIONS - 4+ years of program or project management experience - 4+ years of defining and implementing process improvement initiatives using data and metrics experience - Experience using data and metrics to determine and drive improvements - Experience working cross functionally with tech and non-tech teams - Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL - Bachelor's degree in Business Administration, Finance, Economics, Computer Science, Engineering, or related field PREFERRED QUALIFICATIONS - 4+ years of driving process improvements experience - 4+ years of driving end to end delivery, and communicating results to senior leadership experience - Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization - Experience building processes, project management, and schedules 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, WA, Seattle - 82 800.00 USD annually
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. Our goal is to find the candidate that has well developed data centre technical knowledge coupled with practical construction and commissioning experience to help drive standards in this essential part of our delivery process. If you have experience working within a broad design and construction infrastructure environment, then you could be the right candidate. Key job responsibilities - Work closely with the Global Constructability team and the global Construction Management teams to ensure consistency of approach - Drive practical constructability standards in design documentation - Drive commissionability improvements in our designs. - Drive process improvements in the hand off from design to construction/commissioning - Optimise the engineering input post design completion - driving consistent roles and responsibilities and accountability. - Work closely with regional engineering teams to drive consistency - Act as the initial point of escalation for complex constructability issues. - 25% regional travel, sometimes unplanned. A day in the life As a Senior Constructability Engineer you will be involved in the entire process of a project, from site selection all the way through into operations. You will act as a conduit between Design Engineering and all other teams, providing a pragmatic and practical engineering-based support to both DE and associated teams. Delivery issues will be both presented to you by our own team and other associated teams, but you will also actively seek to recognize problems and develop solutions. Resolution of these issues will require a thorough understanding of the process of design and construction to enable a robust and manageable solution to be developed, always considering the best interests of the AWS business. About the team Why AWS 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. Diverse Experiences 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. Work/Life Balance 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. Inclusive Team Culture 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. Mentorship and Career Growth 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 - 6+ years of data center design, construction, operations, or facility maintenance experience - 6+ years of industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities experience - Bachelor's degree in Engineering or a related field - Knowledge of critical data center mechanical and electrical equipment - Experience in data center design, construction, operations, or facility maintenance - Experience in industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities - Experience researching new designs, technologies, and construction methods of data center equipment and facilities PREFERRED QUALIFICATIONS - Professional Engineering or Architectural License - Knowledge of building codes and regulations for your region - 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, VA, Herndon - 136 800.00 USD annually USA, WA, Seattle - 136 800.00 USD annually
07/27/2026
Full time
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Our goal is to find the candidate that has well developed data centre technical knowledge coupled with practical construction and commissioning experience to help drive standards in this essential part of our delivery process. If you have experience working within a broad design and construction infrastructure environment, then you could be the right candidate. Key job responsibilities - Work closely with the Global Constructability team and the global Construction Management teams to ensure consistency of approach - Drive practical constructability standards in design documentation - Drive commissionability improvements in our designs. - Drive process improvements in the hand off from design to construction/commissioning - Optimise the engineering input post design completion - driving consistent roles and responsibilities and accountability. - Work closely with regional engineering teams to drive consistency - Act as the initial point of escalation for complex constructability issues. - 25% regional travel, sometimes unplanned. A day in the life As a Senior Constructability Engineer you will be involved in the entire process of a project, from site selection all the way through into operations. You will act as a conduit between Design Engineering and all other teams, providing a pragmatic and practical engineering-based support to both DE and associated teams. Delivery issues will be both presented to you by our own team and other associated teams, but you will also actively seek to recognize problems and develop solutions. Resolution of these issues will require a thorough understanding of the process of design and construction to enable a robust and manageable solution to be developed, always considering the best interests of the AWS business. About the team Why AWS 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. Diverse Experiences 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. Work/Life Balance 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. Inclusive Team Culture 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. Mentorship and Career Growth 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 - 6+ years of data center design, construction, operations, or facility maintenance experience - 6+ years of industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities experience - Bachelor's degree in Engineering or a related field - Knowledge of critical data center mechanical and electrical equipment - Experience in data center design, construction, operations, or facility maintenance - Experience in industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities - Experience researching new designs, technologies, and construction methods of data center equipment and facilities PREFERRED QUALIFICATIONS - Professional Engineering or Architectural License - Knowledge of building codes and regulations for your region - 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, VA, Herndon - 136 800.00 USD annually USA, WA, Seattle - 136 800.00 USD annually
Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Lead AI Engineer (LLM Gateway, FM Hosting) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Senior Lead AI Engineer (LLM Gateway, FM Hosting) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
