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. We're seeking an experienced Infrastructure Technical Program Manager to oversee data center build projects in Columbus, OH. Technical Infrastructure Program Manager will lead cross-functional and technical teams from conceptual design feasibility through requirements, budget, completed design, implementation, testing, and deployment. Along the way, you will use your judgment, negotiation skills, ability to influence without authority, analytical talent, technical aptitude, and leadership to collaborate with a diverse set of stakeholders across multiple time zones, manage capital budgets, eliminate non-value-add activity, design solutions, remove blockers, and find creative ways to accelerate project delivery. The successful candidate will be a strong communicator (both written and verbal), not be hindered by ambiguity or competing priorities, and be capable of understanding mechanical/electrical engineering concepts. They will be able to apply a variety of project management tools, methodologies and techniques for all phases of the project lifecycle and exhibit demonstrated experience in tactical project management of highly technical initiatives and core project management disciplines including scope, schedule, budget, resources, quality and risk management, reporting and metric development/tracking. Other requirements include experience with MS Office, MS Project and MS SharePoint. Experience with Tableau, KanBan, Playbook, SQL and systems integration is a plus. If you enjoy the challenges of deploying highly technical and innovative projects at massive scale, this job is for you! 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 - 3+ years of technical infrastructure management experience - Knowledge of best practices and emerging technologies, related to infrastructure (i.e. network, data center, hardware, software) - Experience with varying scenarios of infrastructure builds PREFERRED QUALIFICATIONS - PMP certificate - Master's degree 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 - 127 900.00 USD annually
04/15/2026
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. We're seeking an experienced Infrastructure Technical Program Manager to oversee data center build projects in Columbus, OH. Technical Infrastructure Program Manager will lead cross-functional and technical teams from conceptual design feasibility through requirements, budget, completed design, implementation, testing, and deployment. Along the way, you will use your judgment, negotiation skills, ability to influence without authority, analytical talent, technical aptitude, and leadership to collaborate with a diverse set of stakeholders across multiple time zones, manage capital budgets, eliminate non-value-add activity, design solutions, remove blockers, and find creative ways to accelerate project delivery. The successful candidate will be a strong communicator (both written and verbal), not be hindered by ambiguity or competing priorities, and be capable of understanding mechanical/electrical engineering concepts. They will be able to apply a variety of project management tools, methodologies and techniques for all phases of the project lifecycle and exhibit demonstrated experience in tactical project management of highly technical initiatives and core project management disciplines including scope, schedule, budget, resources, quality and risk management, reporting and metric development/tracking. Other requirements include experience with MS Office, MS Project and MS SharePoint. Experience with Tableau, KanBan, Playbook, SQL and systems integration is a plus. If you enjoy the challenges of deploying highly technical and innovative projects at massive scale, this job is for you! 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 - 3+ years of technical infrastructure management experience - Knowledge of best practices and emerging technologies, related to infrastructure (i.e. network, data center, hardware, software) - Experience with varying scenarios of infrastructure builds PREFERRED QUALIFICATIONS - PMP certificate - Master's degree 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 - 127 900.00 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. The Critical Projects Implementation (CPI) team is a project management and execution team that manages construction activity within the operational data center spaces. The CPI team is tasked with critical infrastructure improvement projects to optimize utilization of space, power, and cooling within operation data centers around the globe. These activities are outside of the scope of standard construction delivery and regular preventative maintenance tasks. We are currently seeking a Data Center Project Manager to serve as a technical resource within Amazon data centers. You will be part of a highly creative, efficient team tasked with tackling the most fascinating and challenges in designing, building, and operating Amazon data facilities. The Project Manager is ultimately responsible for project oversight and review of all disciplines including electrical, mechanical, controls, and architectural. A fundamental understanding of these systems is required, as the individual will be expected to identify areas for improvement as well as act on data provided from other team and organizations. Ideal candidates will possess the ability to design, develop and deploy innovative solutions to address operational challenges. This role requires both independent contribution as well as the ability to work within multi-disciplinary teams. The scope of projects will include but not limited to the improvement of electrical, mechanical, fire detection and building automation system. The Project Manager is responsible for the overall direction, coordination, implementation, execution, control and completion of specific projects ensuring consistency with company strategy, commitments and goals. If you are passionate about the Customer Experience; you think big; and you want to contribute to the operational excellence of Amazon data centers then this may be the challenge you've been looking for! About the team AWS Infrastructure Services (AIS) 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. 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 AWS values diverse experiences. Even if you do not meet all of the 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. 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 & 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 in the cloud. BASIC QUALIFICATIONS - Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field - Experience carrying new design concepts through exploration, development, and into deployment or mass production - Experience in MS Excel, Word, and Windows Operating Systems - Experience with power management and power monitoring systems PREFERRED QUALIFICATIONS - 5+ years of project management in data centers or comparable critical infrastructure experience - Knowledge of critical data center equipment - Knowledge of engineering documentation, electrical diagrams and standard operating procedures - Knowledge of building codes and regulations including Life Safety, BOCA, NFPA, NEC, or OSHA - Experience in project management in data centers or comparable critical infrastructure - Experience in Data Center Engineering Operations, with a deep understanding of electrical and mechanical data center infrastructure - Experience reading and interpreting construction specifications and drawings for all domains 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, OR, Boardman - 111 100.00 USD annually
04/15/2026
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. The Critical Projects Implementation (CPI) team is a project management and execution team that manages construction activity within the operational data center spaces. The CPI team is tasked with critical infrastructure improvement projects to optimize utilization of space, power, and cooling within operation data centers around the globe. These activities are outside of the scope of standard construction delivery and regular preventative maintenance tasks. We are currently seeking a Data Center Project Manager to serve as a technical resource within Amazon data centers. You will be part of a highly creative, efficient team tasked with tackling the most fascinating and challenges in designing, building, and operating Amazon data facilities. The Project Manager is ultimately responsible for project oversight and review of all disciplines including electrical, mechanical, controls, and architectural. A fundamental understanding of these systems is required, as the individual will be expected to identify areas for improvement as well as act on data provided from other team and organizations. Ideal candidates will possess the ability to design, develop and deploy innovative solutions to address operational challenges. This role requires both independent contribution as well as the ability to work within multi-disciplinary teams. The scope of projects will include but not limited to the improvement of electrical, mechanical, fire detection and building automation system. The Project Manager is responsible for the overall direction, coordination, implementation, execution, control and completion of specific projects ensuring consistency with company strategy, commitments and goals. If you are passionate about the Customer Experience; you think big; and you want to contribute to the operational excellence of Amazon data centers then this may be the challenge you've been looking for! About the team AWS Infrastructure Services (AIS) 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. 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 AWS values diverse experiences. Even if you do not meet all of the 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. 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 & 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 in the cloud. BASIC QUALIFICATIONS - Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field - Experience carrying new design concepts through exploration, development, and into deployment or mass production - Experience in MS Excel, Word, and Windows Operating Systems - Experience with power management and power monitoring systems PREFERRED QUALIFICATIONS - 5+ years of project management in data centers or comparable critical infrastructure experience - Knowledge of critical data center equipment - Knowledge of engineering documentation, electrical diagrams and standard operating procedures - Knowledge of building codes and regulations including Life Safety, BOCA, NFPA, NEC, or OSHA - Experience in project management in data centers or comparable critical infrastructure - Experience in Data Center Engineering Operations, with a deep understanding of electrical and mechanical data center infrastructure - Experience reading and interpreting construction specifications and drawings for all domains 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, OR, Boardman - 111 100.00 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. Amazon Web Services has an immediate opening for a Technical Program Manager, Infrastructure to support data center infrastructure expansion. The TPM will lead cross functional teams to drive regional data center build projects, from inception through design, implementation, testing, and deployment. The ideal candidate will be an exceptionally strong communicator, both written and verbally, and possess 3+ years experience in tactical project management of highly technical initiatives, as well as strategic program management. Experience in managing data center infrastructure deployments is a plus. A Bachelor's Degree or additional technical experience is required. Candidates possessing a background in architecture/design, mechanical/electrical engineering, software/hardware engineering, data center infrastructure/operations, and/or construction, who have transitioned to a program management discipline will have a distinct advantage. Candidate must be comfortable managing remote project delivery teams, and possess the ability to facilitate technical whiteboard sessions to troubleshoot project implementation issues, and remove barriers to project success. Being able to stand up cross-functional teams, establish trust with a variety of stakeholders across multiple time zones, manage capital budgets, eliminate non-value-add activity, design solutions, remove blockers, and find creative ways to accelerate project delivery is a must. The TPM will be fully competent in a variety of project management tools, methodologies and techniques for all phases of the project lifecycle and exhibit demonstrated proficiency in core project management disciplines including scope, schedule, budget, resources, quality and risk management, reporting and metric development/tracking. Other requirements include proficiency with MS Office, MS Project and MS SharePoint. Experience with Tableau, Smartsheets, SQL and systems integration a plus. This position requires 10% Travel (Domestic and International trips to AWS Data Center Clusters). If you meet these qualifications, exude passion, and enjoy the challenges of deploying highly technical and innovative projects at massive scale, this job is for you! 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 - 3+ years of technical infrastructure management experience - Knowledge of best practices and emerging technologies, related to infrastructure (i.e. network, data center, hardware, software) - Experience with varying scenarios of infrastructure builds PREFERRED QUALIFICATIONS - Master's degree 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, OR, Umatilla - 127 900.00 USD annually USA, WA, Seattle - 127 900.00 USD annually
04/15/2026
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 has an immediate opening for a Technical Program Manager, Infrastructure to support data center infrastructure expansion. The TPM will lead cross functional teams to drive regional data center build projects, from inception through design, implementation, testing, and deployment. The ideal candidate will be an exceptionally strong communicator, both written and verbally, and possess 3+ years experience in tactical project management of highly technical initiatives, as well as strategic program management. Experience in managing data center infrastructure deployments is a plus. A Bachelor's Degree or additional technical experience is required. Candidates possessing a background in architecture/design, mechanical/electrical engineering, software/hardware engineering, data center infrastructure/operations, and/or construction, who have transitioned to a program management discipline will have a distinct advantage. Candidate must be comfortable managing remote project delivery teams, and possess the ability to facilitate technical whiteboard sessions to troubleshoot project implementation issues, and remove barriers to project success. Being able to stand up cross-functional teams, establish trust with a variety of stakeholders across multiple time zones, manage capital budgets, eliminate non-value-add activity, design solutions, remove blockers, and find creative ways to accelerate project delivery is a must. The TPM will be fully competent in a variety of project management tools, methodologies and techniques for all phases of the project lifecycle and exhibit demonstrated proficiency in core project management disciplines including scope, schedule, budget, resources, quality and risk management, reporting and metric development/tracking. Other requirements include proficiency with MS Office, MS Project and MS SharePoint. Experience with Tableau, Smartsheets, SQL and systems integration a plus. This position requires 10% Travel (Domestic and International trips to AWS Data Center Clusters). If you meet these qualifications, exude passion, and enjoy the challenges of deploying highly technical and innovative projects at massive scale, this job is for you! 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 - 3+ years of technical infrastructure management experience - Knowledge of best practices and emerging technologies, related to infrastructure (i.e. network, data center, hardware, software) - Experience with varying scenarios of infrastructure builds PREFERRED QUALIFICATIONS - Master's degree 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, OR, Umatilla - 127 900.00 USD annually USA, WA, Seattle - 127 900.00 USD annually
Are you experienced in managing Windows and Linux systems with a passion for building highly-available infrastructure at massive scale? Join us in driving cloud innovation and automation, deploying mission-critical systems that power global operations. AWS Infrastructure Services designs, delivers, and operates the global infrastructure that keeps AWS running. We manage the critical data center components - from servers and networking to power and cooling - that ensure continuous service for our customers. Within this organization, the Controls Fleet team builds and supports critical infrastructure services that power the world's premier e-commerce and cloud computing environments. We are seeking a passionate and motivated Systems Engineer to join our team of Windows and Linux experts. In this role, you'll deploy infrastructure and build automated solutions across our growing environment. The ideal candidate will have strong experience in Windows Server administration and Linux systems, hands-on experience with automation and scripting (PowerShell, Python, or Bash), and solid understanding of networking and distributed systems. Strong communication and documentation skills are essential, as you'll be collaborating closely with global teams. We value candidates who solve complex technical challenges through root cause analysis, can adapt to a fast-paced environment, and effectively communicate technical concepts. You'll make an impact by deploying and managing critical infrastructure, creating automated solutions for large-scale deployments, collaborating with teams to improve system reliability, and implementing solutions to technical challenges. You will be working in a hyper-growth environment where priorities shift quickly. You must be flexible and adapt well to a wide range of tasks and technologies. At Amazon, it is expected that your technical knowledge demonstrates both depth and breadth. Leveraging the strengths of individual team members as peers and delegating tasks appropriately within the group for long term projects will all be critical tasks for this role. Deep knowledge of the domain and is sought after as a thought-leader across the organization. If you are passionate about technology, excited by the prospect of working in a dynamic, fast-paced environment, and driven to solve complex problems, we would love to hear from you. Minimal Travel Required. You are expected to be onsite at a minimum five days a week. Key job responsibilities - IT Infrastructure: Deploy, manage, and support large-scale Windows and Linux environments, including virtualization platforms and networking components - Automation & Development: Create and maintain automation solutions using PowerShell, Python, or Bash, focusing on scalable deployment processes and infrastructure management - Cloud Services: Work with AWS or similar cloud platforms to support hybrid infrastructure environments - System Design: Architect and implement secure, scalable solutions while considering system interdependencies and limitations - Problem Solving: Analyze complex technical issues and develop effective solutions through root cause analysis - Documentation & Training: Create and maintain technical documentation, develop training materials, and support team knowledge sharing - Collaboration: Work effectively with global teams, provide technical consultation, and support cross-functional projects - Security & Compliance: Identify security risks, develop mitigation plans, and participate in compliance efforts - Operational Support: Available for 24/7 on-call rotation and up to 20% travel About the team AWS Infrastructure Services (AIS) 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. 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 - Bachelor's degree in Systems Engineering, Computer Science, or related field or relevant work experience - 4+ years of site reliability engineering (SRE), systems engineering, systems administration, DevOps, security administration, or network administration experience - 2+ years of building scripts, tooling, and automation for large-scale computing environments experience - Experience in any of the following: Python, Java, Perl, PHP, Ruby, Bash, Shell or equivalent PREFERRED QUALIFICATIONS - Experience designing and developing scripts to automate operational burdens and reviewing scripting changes to ensure they meet the standards for maintainability, scalability and security - Experience working in 24/7 production environment - Experience with service-oriented architecture and web services 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 - 104 000.00 USD annually
04/15/2026
Full time
Are you experienced in managing Windows and Linux systems with a passion for building highly-available infrastructure at massive scale? Join us in driving cloud innovation and automation, deploying mission-critical systems that power global operations. AWS Infrastructure Services designs, delivers, and operates the global infrastructure that keeps AWS running. We manage the critical data center components - from servers and networking to power and cooling - that ensure continuous service for our customers. Within this organization, the Controls Fleet team builds and supports critical infrastructure services that power the world's premier e-commerce and cloud computing environments. We are seeking a passionate and motivated Systems Engineer to join our team of Windows and Linux experts. In this role, you'll deploy infrastructure and build automated solutions across our growing environment. The ideal candidate will have strong experience in Windows Server administration and Linux systems, hands-on experience with automation and scripting (PowerShell, Python, or Bash), and solid understanding of networking and distributed systems. Strong communication and documentation skills are essential, as you'll be collaborating closely with global teams. We value candidates who solve complex technical challenges through root cause analysis, can adapt to a fast-paced environment, and effectively communicate technical concepts. You'll make an impact by deploying and managing critical infrastructure, creating automated solutions for large-scale deployments, collaborating with teams to improve system reliability, and implementing solutions to technical challenges. You will be working in a hyper-growth environment where priorities shift quickly. You must be flexible and adapt well to a wide range of tasks and technologies. At Amazon, it is expected that your technical knowledge demonstrates both depth and breadth. Leveraging the strengths of individual team members as peers and delegating tasks appropriately within the group for long term projects will all be critical tasks for this role. Deep knowledge of the domain and is sought after as a thought-leader across the organization. If you are passionate about technology, excited by the prospect of working in a dynamic, fast-paced environment, and driven to solve complex problems, we would love to hear from you. Minimal Travel Required. You are expected to be onsite at a minimum five days a week. Key job responsibilities - IT Infrastructure: Deploy, manage, and support large-scale Windows and Linux environments, including virtualization platforms and networking components - Automation & Development: Create and maintain automation solutions using PowerShell, Python, or Bash, focusing on scalable deployment processes and infrastructure management - Cloud Services: Work with AWS or similar cloud platforms to support hybrid infrastructure environments - System Design: Architect and implement secure, scalable solutions while considering system interdependencies and limitations - Problem Solving: Analyze complex technical issues and develop effective solutions through root cause analysis - Documentation & Training: Create and maintain technical documentation, develop training materials, and support team knowledge sharing - Collaboration: Work effectively with global teams, provide technical consultation, and support cross-functional projects - Security & Compliance: Identify security risks, develop mitigation plans, and participate in compliance efforts - Operational Support: Available for 24/7 on-call rotation and up to 20% travel About the team AWS Infrastructure Services (AIS) 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. 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 - Bachelor's degree in Systems Engineering, Computer Science, or related field or relevant work experience - 4+ years of site reliability engineering (SRE), systems engineering, systems administration, DevOps, security administration, or network administration experience - 2+ years of building scripts, tooling, and automation for large-scale computing environments experience - Experience in any of the following: Python, Java, Perl, PHP, Ruby, Bash, Shell or equivalent PREFERRED QUALIFICATIONS - Experience designing and developing scripts to automate operational burdens and reviewing scripting changes to ensure they meet the standards for maintainability, scalability and security - Experience working in 24/7 production environment - Experience with service-oriented architecture and web services 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 - 104 000.00 USD annually
The Data Center Global Controls team is looking for exceptional individuals to join our Controls organization as a Controls Technician for Service & Construction of the Building Management Systems (BMS) and Electrical Power Monitoring System (EPMS) within Amazon data centers. If you are passionate about the Customer Experience, think and act globally and have the ability to contribute to major new innovations in the area of building controls and automation this is the challenge you are looking for! The candidate will possess technical background and experience in installation, troubleshooting, operations and/or maintenance of field sensors, controllers, wiring, networking and programming associated with the industrial controls systems. The candidate may also have relevant experience operating and maintaining mission critical electrical and mechanical systems. A Controls Technician shall be responsible for participating in the installation, testing, troubleshooting and startup of equipment and controls system associated with the BMS and EPMS system deployment in the data centers. A Controls Technician is expected to actively innovate on behalf of their customers in the area of Data Center building automation. Key job responsibilities Primarily work in and support multiple Data Centers by Deploying, Servicing, and Upgrading BMS and EPMS systems. Mentor and train Facilities team members on operation and control of the BMS and EPMS systems. Audit, maintain, and manage computer enterprise asset management systems for BMS and EPMS installations Manage small to medium size projects and programs. Perform point to point checkouts between field devices and controllers. Perform first-line diagnostics, troubleshooting and maintenance of programming code and hardware associated with the BMS and EPMS in data centers. Perform provisioning process for servers, controllers, industrial PCs and network configurations and communication testing between third party devices and controllers or servers. Installation, replacement, configuration, and calibration of sensors. Able to read and understand Electrical schematics, control panel drawings. Basic understanding of close loop controls, field sensors scaling, and functions typically performed by industrial controllers. Supervise low voltage electrical contractors who performing wiring and installation of field devices in compliance with AWS requirements. Commissioning and systems level testing support. Create red-lined drawings and documentation of systems. Follow change management process to generate work requests and method of procedures. Participate in Factory witnessed tests at vendor's or panel builder's facility. Perform other tasks as assigned by manager. Recommend design improvements based on consultation with users and system operation. Perform root cause analysis during testing and commissioning. Ensure all personnel on site utilize proper safety methodology. Work on-call and a rotating schedule when required and respond to after-hours emergencies. Perform service activities such as monitoring/reviewing ticketing systems, performing root cause analysis, and prioritizing tasks. Actively manage service agreements to include vendor labor scheduling, quality assurance, and financial invoice review. Physical Requirements: Walk jobsites in uneven terrain and work at heights and from ladders. Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or crawl. On occasions, lift and/or move up to 49 pounds; and participate in group lifts for 50 pounds or more. 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. 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 - High school or equivalent diploma - Technical (Military/ Trade School) School diploma or Associate degree with one year experience related to industrial instrumentation/controls or equivalent electrical or mechanical operations experience. - Minimum one year of experience working with computer components and operating systems. - Minimum one year of experience with mission critical low and medium voltage electrical and/or mechanical systems. PREFERRED QUALIFICATIONS - Preferred Qualifications: - Basic understanding of Industrial controls system, controllers, and programming including troubleshooting of industrial controls analog, discrete and networked input/output field signals. - One-year experience working in a Data Center or mission critical environment. - Bachelor's Degree in Electrical Engineering, Mechanical Engineering or relevant discipline. - International Society of Automation (ISA) Certified Controls System Technician (CCST) Level I or higher certification. - Fundamental knowledge of network design and layout as well as low voltage (copper/ fiber) cabling. 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, Sterling - 32.00 - 57.00 USD hourly
04/15/2026
Full time
The Data Center Global Controls team is looking for exceptional individuals to join our Controls organization as a Controls Technician for Service & Construction of the Building Management Systems (BMS) and Electrical Power Monitoring System (EPMS) within Amazon data centers. If you are passionate about the Customer Experience, think and act globally and have the ability to contribute to major new innovations in the area of building controls and automation this is the challenge you are looking for! The candidate will possess technical background and experience in installation, troubleshooting, operations and/or maintenance of field sensors, controllers, wiring, networking and programming associated with the industrial controls systems. The candidate may also have relevant experience operating and maintaining mission critical electrical and mechanical systems. A Controls Technician shall be responsible for participating in the installation, testing, troubleshooting and startup of equipment and controls system associated with the BMS and EPMS system deployment in the data centers. A Controls Technician is expected to actively innovate on behalf of their customers in the area of Data Center building automation. Key job responsibilities Primarily work in and support multiple Data Centers by Deploying, Servicing, and Upgrading BMS and EPMS systems. Mentor and train Facilities team members on operation and control of the BMS and EPMS systems. Audit, maintain, and manage computer enterprise asset management systems for BMS and EPMS installations Manage small to medium size projects and programs. Perform point to point checkouts between field devices and controllers. Perform first-line diagnostics, troubleshooting and maintenance of programming code and hardware associated with the BMS and EPMS in data centers. Perform provisioning process for servers, controllers, industrial PCs and network configurations and communication testing between third party devices and controllers or servers. Installation, replacement, configuration, and calibration of sensors. Able to read and understand Electrical schematics, control panel drawings. Basic understanding of close loop controls, field sensors scaling, and functions typically performed by industrial controllers. Supervise low voltage electrical contractors who performing wiring and installation of field devices in compliance with AWS requirements. Commissioning and systems level testing support. Create red-lined drawings and documentation of systems. Follow change management process to generate work requests and method of procedures. Participate in Factory witnessed tests at vendor's or panel builder's facility. Perform other tasks as assigned by manager. Recommend design improvements based on consultation with users and system operation. Perform root cause analysis during testing and commissioning. Ensure all personnel on site utilize proper safety methodology. Work on-call and a rotating schedule when required and respond to after-hours emergencies. Perform service activities such as monitoring/reviewing ticketing systems, performing root cause analysis, and prioritizing tasks. Actively manage service agreements to include vendor labor scheduling, quality assurance, and financial invoice review. Physical Requirements: Walk jobsites in uneven terrain and work at heights and from ladders. Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or crawl. On occasions, lift and/or move up to 49 pounds; and participate in group lifts for 50 pounds or more. 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. 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 - High school or equivalent diploma - Technical (Military/ Trade School) School diploma or Associate degree with one year experience related to industrial instrumentation/controls or equivalent electrical or mechanical operations experience. - Minimum one year of experience working with computer components and operating systems. - Minimum one year of experience with mission critical low and medium voltage electrical and/or mechanical systems. PREFERRED QUALIFICATIONS - Preferred Qualifications: - Basic understanding of Industrial controls system, controllers, and programming including troubleshooting of industrial controls analog, discrete and networked input/output field signals. - One-year experience working in a Data Center or mission critical environment. - Bachelor's Degree in Electrical Engineering, Mechanical Engineering or relevant discipline. - International Society of Automation (ISA) Certified Controls System Technician (CCST) Level I or higher certification. - Fundamental knowledge of network design and layout as well as low voltage (copper/ fiber) cabling. 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, Sterling - 32.00 - 57.00 USD hourly
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. The Critical Projects Implementation (CPI) team is a project management and execution team that manages construction activity within the operational data center spaces. The CPI team is tasked with critical infrastructure improvement projects to optimize utilization of space, power, and cooling within operation data centers around the globe. These activities are outside of the scope of standard construction delivery and regular preventative maintenance tasks. We are currently seeking an energetic Data Center Project Manager to serve as a technical resource within Amazon data centers. You will be part of a highly creative, efficient team tasked with tackling the most fascinating and challenges in designing, building, and operating Amazon data facilities. The Project Manager is ultimately responsible for project oversight and review of all disciplines including electrical, mechanical, controls, and architectural. A fundamental understanding of these systems is required, as the individual will be expected to identify areas for improvement as well as act on data provided from other team and organizations. Ideal candidates will possess the ability to design, develop and deploy innovative solutions to address operational challenges. This role requires both independent contribution as well as the ability to work within multi-disciplinary teams. The scope of projects will include but not limited to the improvement of electrical, mechanical, fire detection and building automation system. The Project Manager is responsible for the overall direction, coordination, implementation, execution, control and completion of specific projects ensuring consistency with company strategy, commitments and goals. If you are passionate about the Customer Experience; you think big; and you want to contribute to the operational excellence of Amazon data centers then this may be the challenge you've been looking for! About the team AWS Infrastructure Services (AIS) 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. 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 AWS values diverse experiences. Even if you do not meet all of the 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. 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 & 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 in the cloud. BASIC QUALIFICATIONS - Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field - Experience carrying new design concepts through exploration, development, and into deployment or mass production - Experience in MS Excel, Word, and Windows Operating Systems - Experience with power management and power monitoring systems PREFERRED QUALIFICATIONS - 5+ years of project management in data centers or comparable critical infrastructure experience - Knowledge of critical data center equipment - Knowledge of engineering documentation, electrical diagrams and standard operating procedures - Knowledge of building codes and regulations including Life Safety, BOCA, NFPA, NEC, or OSHA - Experience in project management in data centers or comparable critical infrastructure - Experience in Data Center Engineering Operations, with a deep understanding of electrical and mechanical data center infrastructure - Experience reading and interpreting construction specifications and drawings for all domains 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, OR, Hermiston - 109 300.00 USD annually
04/15/2026
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. The Critical Projects Implementation (CPI) team is a project management and execution team that manages construction activity within the operational data center spaces. The CPI team is tasked with critical infrastructure improvement projects to optimize utilization of space, power, and cooling within operation data centers around the globe. These activities are outside of the scope of standard construction delivery and regular preventative maintenance tasks. We are currently seeking an energetic Data Center Project Manager to serve as a technical resource within Amazon data centers. You will be part of a highly creative, efficient team tasked with tackling the most fascinating and challenges in designing, building, and operating Amazon data facilities. The Project Manager is ultimately responsible for project oversight and review of all disciplines including electrical, mechanical, controls, and architectural. A fundamental understanding of these systems is required, as the individual will be expected to identify areas for improvement as well as act on data provided from other team and organizations. Ideal candidates will possess the ability to design, develop and deploy innovative solutions to address operational challenges. This role requires both independent contribution as well as the ability to work within multi-disciplinary teams. The scope of projects will include but not limited to the improvement of electrical, mechanical, fire detection and building automation system. The Project Manager is responsible for the overall direction, coordination, implementation, execution, control and completion of specific projects ensuring consistency with company strategy, commitments and goals. If you are passionate about the Customer Experience; you think big; and you want to contribute to the operational excellence of Amazon data centers then this may be the challenge you've been looking for! About the team AWS Infrastructure Services (AIS) 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. 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 AWS values diverse experiences. Even if you do not meet all of the 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. 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 & 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 in the cloud. BASIC QUALIFICATIONS - Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field - Experience carrying new design concepts through exploration, development, and into deployment or mass production - Experience in MS Excel, Word, and Windows Operating Systems - Experience with power management and power monitoring systems PREFERRED QUALIFICATIONS - 5+ years of project management in data centers or comparable critical infrastructure experience - Knowledge of critical data center equipment - Knowledge of engineering documentation, electrical diagrams and standard operating procedures - Knowledge of building codes and regulations including Life Safety, BOCA, NFPA, NEC, or OSHA - Experience in project management in data centers or comparable critical infrastructure - Experience in Data Center Engineering Operations, with a deep understanding of electrical and mechanical data center infrastructure - Experience reading and interpreting construction specifications and drawings for all domains 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, OR, Hermiston - 109 300.00 USD annually
Individuals assigned to the Machine Shop shall be able to use blueprints, drawings, sketches, or computer-aided design (CAD) and manufacturing files to program by using computer software such as Mastercam CAD/CAM, SolidWorks, and/or Fusion 360 for the Computerized Numerical Control machines and operate CNC machines to produce precision metal or plastic parts. Must also set up different types of equipment that are controlled by computers to accomplish goals with accuracy while maintaining high level of production rates. Operating the conventional milling machines, lathes, drill presses, and band saws as required to manufacture new products and/or repair or rework parts in accordance with engineering instructions and drawings. Basic Qualifications : Service Orientation: Passionate, effective demeanor in interactions with Guests and Cast Members Receptive to special requests Committed and reliable (reports for scheduled shifts) Encouraging of other Cast Members working on your team Detail oriented Ability to complete repetitious tasks while maintaining quality Ability to address and build appropriate solutions Interpersonal Skills and Abilities: Excellent written and verbal communication skills Capable of easily explaining sophisticated issues and procedures to others Excellent computer skills using MS Office or similar programs Additional Information : SUBMITTING YOUR APPLICATION After clicking " Apply for this job " below, the employment application will open in a new window. Please complete ALL pages of the application by clicking " Next " on each page, then " Submit " on the final page. SCHEDULE AVAILABILITY Shifts are typically at night, and individuals must have availability to work Sunday through Saturday, any shift (1st, 2nd, and 3rd shift) including holidays, and must be open to any days off. KEYWORD: DLR Casting, dlrcasting, Disneyland Resort Casting Hourly Jobs , DLRResortRoles, DLR Resort Roles, CNC, Milling, Machine, Programming The pay rate for this role in California is $41.11 to $50.05 per hour, which follows the pay scale agreed upon in the Collective Bargaining Agreement. The base pay actually offered may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience, among other factors. Select benefits may be provided as part of the compensation package, such as medical, financial, and/or other benefits. To learn more about our benefits visit: .
04/15/2026
Full time
Individuals assigned to the Machine Shop shall be able to use blueprints, drawings, sketches, or computer-aided design (CAD) and manufacturing files to program by using computer software such as Mastercam CAD/CAM, SolidWorks, and/or Fusion 360 for the Computerized Numerical Control machines and operate CNC machines to produce precision metal or plastic parts. Must also set up different types of equipment that are controlled by computers to accomplish goals with accuracy while maintaining high level of production rates. Operating the conventional milling machines, lathes, drill presses, and band saws as required to manufacture new products and/or repair or rework parts in accordance with engineering instructions and drawings. Basic Qualifications : Service Orientation: Passionate, effective demeanor in interactions with Guests and Cast Members Receptive to special requests Committed and reliable (reports for scheduled shifts) Encouraging of other Cast Members working on your team Detail oriented Ability to complete repetitious tasks while maintaining quality Ability to address and build appropriate solutions Interpersonal Skills and Abilities: Excellent written and verbal communication skills Capable of easily explaining sophisticated issues and procedures to others Excellent computer skills using MS Office or similar programs Additional Information : SUBMITTING YOUR APPLICATION After clicking " Apply for this job " below, the employment application will open in a new window. Please complete ALL pages of the application by clicking " Next " on each page, then " Submit " on the final page. SCHEDULE AVAILABILITY Shifts are typically at night, and individuals must have availability to work Sunday through Saturday, any shift (1st, 2nd, and 3rd shift) including holidays, and must be open to any days off. KEYWORD: DLR Casting, dlrcasting, Disneyland Resort Casting Hourly Jobs , DLRResortRoles, DLR Resort Roles, CNC, Milling, Machine, Programming The pay rate for this role in California is $41.11 to $50.05 per hour, which follows the pay scale agreed upon in the Collective Bargaining Agreement. The base pay actually offered may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience, among other factors. Select benefits may be provided as part of the compensation package, such as medical, financial, and/or other benefits. To learn more about our benefits visit: .
Professional Engineering Consultant
Tulsa, Oklahoma
Position Summary: The Project Manager (PM) is responsible for the management and delivery of projects in accordance with each project's client contract and to the expectations of PEC. This position is expected to manage the project scope, schedule, and cost while also assessing and managing risks and for client satisfaction. The Project Manager will coordinate and communicate with all appropriate project stakeholders, ensuring deliverables and milestones are on time and within budget. Duties and Responsibilities: Competent to make all business decisions on projects from opportunity identification through project completion with minimal guidance or oversight. Anticipate and productively resolve discrepancies between client expectations and contracted scope Manage project scope, cost, and schedule for the planning, execution, and delivery of projects on-time and within budget Lead project teams throughout pre-contract phase. Collaborating with internal and external team members to develop fee proposals and when needed, establish project budgets. Thereafter preparing proposed contracts and sub-consultant contracts as appropriate Responsible for assembling the project team with the approval of each project team member's supervisor Manage the flow of project work for all disciplines Manage the application of resources to the project Provide direction to project team for all project activities to keep them on schedule Update project timeline and adjust scheduling and provide regular project updates to the project team and others as appropriate Ensure Quality Control processes are followed, performed, and documented Identify risk (client service risks, contract risks, technical risks, staffing risks, etc.), appropriately communicates risk and risk management strategies internally, and diplomatically and effectively navigate risk management with clients and project teams Lead project teams through forecasting estimates to complete and assessing work progress Communicate effectively with the project team, Market VP, and other internal stakeholders as necessary to accomplish the project goals and the expectations of PEC Effective and appropriate client communication and client management Adhere to all adopted business practices and quality procedures Represent themselves and PEC in a professional, strategic, and courteous manner Project assignments and responsibilities may be added at the company's discretion. Knowledge, skills and abilities: Considerable knowledge and understanding of consulting design and construction standards and practices Strong skills using project management tools and systems, including but not limited to scheduling software, including Microsoft Project Proficient Microsoft Office and Bluebeam skills Familiar with CADD and REVIT software applications and processes Proven experience working in collaborative environments using Microsoft Teams Ability to effectively communicate both verbally and in writing with internal and external project teams, the client and other stakeholders Ability to work independently and as part of a team Strong leadership and interpersonal skills, with the ability to motivate and guide others, build effective and cohesive relationships Proven experience in planning, organizing, prioritizing, coordinating, training, supporting, assigning and evaluating the work of a project team Education and Experience: Bachelor's degree in engineering or related field from ABET Accredited University required Minimum two (2) years' experience as a discipline/task lead required Minimum two (2) years' experience in Project Management or related experience/field preferred Minimum five (5) years' experience in Engineering Design preferred License and Certification: Licensure by the applicable State Board of Technical Professions preferred Work Environment: PEC values working efficiently and collaboratively for quality and productive work. The work environment is business casual, friendly, respectful, and team oriented with daily peer interactions regarding work progress, client needs and project-specific technical issues. We strive to create an enjoyable work environment with support and opportunities for positive career growth. Much of the work will be conducted within an office setting with frequent sitting, reaching and manipulation of objects, tools and/or controls. The position requires mobility. Duties involved require moving materials that weigh up to 10 pounds on a regular basis and up to 25 pounds on an occasional basis. Manual dexterity and coordination are required over 50% of the work period while operating equipment such as computer keyboard, mouse, calculator and similar machines. At times, bending, reaching, standing, and walking may be required. Supervisory Responsibilities (if there are no supervisor responsibilities, put N/A): N/A HP21 PEC is an AA/EEO/Veteran/Disabled employer. PI8691d0afb6-
04/15/2026
Full time
Position Summary: The Project Manager (PM) is responsible for the management and delivery of projects in accordance with each project's client contract and to the expectations of PEC. This position is expected to manage the project scope, schedule, and cost while also assessing and managing risks and for client satisfaction. The Project Manager will coordinate and communicate with all appropriate project stakeholders, ensuring deliverables and milestones are on time and within budget. Duties and Responsibilities: Competent to make all business decisions on projects from opportunity identification through project completion with minimal guidance or oversight. Anticipate and productively resolve discrepancies between client expectations and contracted scope Manage project scope, cost, and schedule for the planning, execution, and delivery of projects on-time and within budget Lead project teams throughout pre-contract phase. Collaborating with internal and external team members to develop fee proposals and when needed, establish project budgets. Thereafter preparing proposed contracts and sub-consultant contracts as appropriate Responsible for assembling the project team with the approval of each project team member's supervisor Manage the flow of project work for all disciplines Manage the application of resources to the project Provide direction to project team for all project activities to keep them on schedule Update project timeline and adjust scheduling and provide regular project updates to the project team and others as appropriate Ensure Quality Control processes are followed, performed, and documented Identify risk (client service risks, contract risks, technical risks, staffing risks, etc.), appropriately communicates risk and risk management strategies internally, and diplomatically and effectively navigate risk management with clients and project teams Lead project teams through forecasting estimates to complete and assessing work progress Communicate effectively with the project team, Market VP, and other internal stakeholders as necessary to accomplish the project goals and the expectations of PEC Effective and appropriate client communication and client management Adhere to all adopted business practices and quality procedures Represent themselves and PEC in a professional, strategic, and courteous manner Project assignments and responsibilities may be added at the company's discretion. Knowledge, skills and abilities: Considerable knowledge and understanding of consulting design and construction standards and practices Strong skills using project management tools and systems, including but not limited to scheduling software, including Microsoft Project Proficient Microsoft Office and Bluebeam skills Familiar with CADD and REVIT software applications and processes Proven experience working in collaborative environments using Microsoft Teams Ability to effectively communicate both verbally and in writing with internal and external project teams, the client and other stakeholders Ability to work independently and as part of a team Strong leadership and interpersonal skills, with the ability to motivate and guide others, build effective and cohesive relationships Proven experience in planning, organizing, prioritizing, coordinating, training, supporting, assigning and evaluating the work of a project team Education and Experience: Bachelor's degree in engineering or related field from ABET Accredited University required Minimum two (2) years' experience as a discipline/task lead required Minimum two (2) years' experience in Project Management or related experience/field preferred Minimum five (5) years' experience in Engineering Design preferred License and Certification: Licensure by the applicable State Board of Technical Professions preferred Work Environment: PEC values working efficiently and collaboratively for quality and productive work. The work environment is business casual, friendly, respectful, and team oriented with daily peer interactions regarding work progress, client needs and project-specific technical issues. We strive to create an enjoyable work environment with support and opportunities for positive career growth. Much of the work will be conducted within an office setting with frequent sitting, reaching and manipulation of objects, tools and/or controls. The position requires mobility. Duties involved require moving materials that weigh up to 10 pounds on a regular basis and up to 25 pounds on an occasional basis. Manual dexterity and coordination are required over 50% of the work period while operating equipment such as computer keyboard, mouse, calculator and similar machines. At times, bending, reaching, standing, and walking may be required. Supervisory Responsibilities (if there are no supervisor responsibilities, put N/A): N/A HP21 PEC is an AA/EEO/Veteran/Disabled employer. PI8691d0afb6-
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
04/15/2026
Full time
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Defense Systems is seeking Sr. Principal Embedded Software Engineers for the Flight / Guidance Navigation & Control (GN&C) Software Team. This position will be located in Roy, Utah, or Huntsville, Alabama and will support the Sentinel Program. What You'll Get To Do: Design, develop, document, test, and debug software/system applications. Conduct multidisciplinary research and collaborate with equipment designers and/or hardware engineers in the planning, design, development, and utilization of embedded systems for safety and mission critical software. Must be able to work and collaborate with a team of software engineers in an Agile environment to meet critical milestones. Ensure program mandated software standards and compliance criteria are met. Understand and can develop in a continuous integration tool chain environment meeting technical and compliance requirements. Create and maintain continuous integration and deployment (CI/CD) pipelines. Write scripts and configurations to automate software testing, deployment, and maintenance in a manner consistent with software engineering best practices. Proactively monitor build and deployment pipelines and infrastructure, apply patches, troubleshoot issues, and resolve errors. Automate infrastructure and/or cloud resource deployments and configuration using infrastructure-as-code tools. Position Benefits As a full-time employee of Northrop Grumman, you are eligible for our robust benefits package including • Medical, Dental & Vision coverage • 401k • Educational Assistance • Life Insurance • Employee Assistance Programs & Work/Life Solutions • Paid Time Off • Health & Wellness Resources • Employee Discounts This positions standard work schedule is a 9/80. The 9/80 schedule allows employees who work a nine-hour day Monday through Thursday to take every other Friday off. You'll Bring These Qualifications: Bachelor's Degree in a Science, Technology, Engineering or Mathematics (STEM) discipline from an accredited university and 8 years of relevant engineering experience, Master's in STEM with 6 years of relevant experience; PhD with 4 year of relevant experience. • Active DoD Secret clearance with a reinvestigation date occurring in the last 6 years. • US Citizenship with Ability to obtain Special Program Access (SAP) Preferred Qualifications: • Previous internship/co-op or other work experience, leadership & teamwork capabilities, interpersonal communication skills, and activities (professional/community/extracurricular). • Able to assimilate information from multiple sources, create coherent plans and then execute those plans • Familiarity with security coding standard best practices, static and dynamic scanning tools, i.e., SonarQube, Fortify, Coverity, PCLint, etc. • Programming and scripting experience in a UNIX environment (C++, Perl, Python, Bash, Ruby, Shell, Scripts) Primary Level Salary Range: $122,800.00 - $184,200.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
04/15/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Defense Systems is seeking Sr. Principal Embedded Software Engineers for the Flight / Guidance Navigation & Control (GN&C) Software Team. This position will be located in Roy, Utah, or Huntsville, Alabama and will support the Sentinel Program. What You'll Get To Do: Design, develop, document, test, and debug software/system applications. Conduct multidisciplinary research and collaborate with equipment designers and/or hardware engineers in the planning, design, development, and utilization of embedded systems for safety and mission critical software. Must be able to work and collaborate with a team of software engineers in an Agile environment to meet critical milestones. Ensure program mandated software standards and compliance criteria are met. Understand and can develop in a continuous integration tool chain environment meeting technical and compliance requirements. Create and maintain continuous integration and deployment (CI/CD) pipelines. Write scripts and configurations to automate software testing, deployment, and maintenance in a manner consistent with software engineering best practices. Proactively monitor build and deployment pipelines and infrastructure, apply patches, troubleshoot issues, and resolve errors. Automate infrastructure and/or cloud resource deployments and configuration using infrastructure-as-code tools. Position Benefits As a full-time employee of Northrop Grumman, you are eligible for our robust benefits package including • Medical, Dental & Vision coverage • 401k • Educational Assistance • Life Insurance • Employee Assistance Programs & Work/Life Solutions • Paid Time Off • Health & Wellness Resources • Employee Discounts This positions standard work schedule is a 9/80. The 9/80 schedule allows employees who work a nine-hour day Monday through Thursday to take every other Friday off. You'll Bring These Qualifications: Bachelor's Degree in a Science, Technology, Engineering or Mathematics (STEM) discipline from an accredited university and 8 years of relevant engineering experience, Master's in STEM with 6 years of relevant experience; PhD with 4 year of relevant experience. • Active DoD Secret clearance with a reinvestigation date occurring in the last 6 years. • US Citizenship with Ability to obtain Special Program Access (SAP) Preferred Qualifications: • Previous internship/co-op or other work experience, leadership & teamwork capabilities, interpersonal communication skills, and activities (professional/community/extracurricular). • Able to assimilate information from multiple sources, create coherent plans and then execute those plans • Familiarity with security coding standard best practices, static and dynamic scanning tools, i.e., SonarQube, Fortify, Coverity, PCLint, etc. • Programming and scripting experience in a UNIX environment (C++, Perl, Python, Bash, Ruby, Shell, Scripts) Primary Level Salary Range: $122,800.00 - $184,200.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
Date Posted: 2026-02-24 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: Secret - Current Security Clearance Status: Active and existing security clearance required on day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. The Software organization develops software applications, including integration and test on missiles, launchers, radars, naval systems, fire control and other complex systems. Our precision software and firmware integrate operating systems, device drivers, networking, and control software to bring together sensor, guidance, and flight control processing features to complete the mission. The Software org is made up of several Centers located across the country, responsible for all aspects of the software development lifecycle. Our 4000+ software engineers design, develop, and build innovative solutions for our customers. Join our fast-paced agile teams on the leading edge of technology. As part of the Software Engineering Directorate's (SWE) Effectors Center (EC) team, you will be an integral part of helping Raytheon further our vision to be the global leader in core and next-generation weapon and security solutions. By any measure, Raytheon is an exciting and rewarding place to work. We pride ourselves on developing mission-driven, world-class talent. The result is a workforce that takes pride in the company and consistently delivers superior solutions. Our engineers design, develop, and build innovative solutions for the U.S. Government. Experience all aspects of a software development life cycle as a member of a fast-paced agile team on the leading edge of: Real-time systems design Digital signal processing Machine Learning and Autonomous Systems Cyber Security DevOps technologies and methods We encourage curious, creative problem solvers to join our team of bright, dedicated software craftspeople in designing and implementing highly innovative systems. You will learn advanced software engineering practices and apply new technologies to develop next generation capabilities and help keep our country safe. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Assist and participate in the requirements, design, development and testing of real-time embedded software, application software, and tools, to include development of new work products or enhancement of existing applications and systems. Design, code, test, integrate, and document software solutions. Participate in internal review of software components and systems. Collaborate with project managers and other professionals within Engineering. Work on problems with defined scope, schedule, and expectations. Follow established development practices and processes to maintain the configuration management of software products. Ability to obtain program access required. What You Will Learn Use new tools that will keep you state-of-the-art. Stay updated with the latest advancements in software development and missile technology to drive innovation. Qualifications You Must Have Typically requires a Bachelor's degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of two years prior relevant experience. Experience with C, C++, or Java. Experience with the integration of real-time software, firmware, and hardware. Active and transferable Secret U.S. government issued security clearance is required prior to start date with the ability to obtain special program access after start. Qualifications We Prefer Knowledge of data structures and algorithms, systems software design, operating systems and architectures. Knowledge of assembly, C/C++ programming, structured programming concepts. Knowledge of object-oriented design and Unified Model Language. Knowledge of statistical and numerical methods. Interpersonal and communication skills, both verbal and written. Demonstrated ability to work effectively with colleagues and leaders in a team environment. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
04/15/2026
Full time
Date Posted: 2026-02-24 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: Secret - Current Security Clearance Status: Active and existing security clearance required on day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. The Software organization develops software applications, including integration and test on missiles, launchers, radars, naval systems, fire control and other complex systems. Our precision software and firmware integrate operating systems, device drivers, networking, and control software to bring together sensor, guidance, and flight control processing features to complete the mission. The Software org is made up of several Centers located across the country, responsible for all aspects of the software development lifecycle. Our 4000+ software engineers design, develop, and build innovative solutions for our customers. Join our fast-paced agile teams on the leading edge of technology. As part of the Software Engineering Directorate's (SWE) Effectors Center (EC) team, you will be an integral part of helping Raytheon further our vision to be the global leader in core and next-generation weapon and security solutions. By any measure, Raytheon is an exciting and rewarding place to work. We pride ourselves on developing mission-driven, world-class talent. The result is a workforce that takes pride in the company and consistently delivers superior solutions. Our engineers design, develop, and build innovative solutions for the U.S. Government. Experience all aspects of a software development life cycle as a member of a fast-paced agile team on the leading edge of: Real-time systems design Digital signal processing Machine Learning and Autonomous Systems Cyber Security DevOps technologies and methods We encourage curious, creative problem solvers to join our team of bright, dedicated software craftspeople in designing and implementing highly innovative systems. You will learn advanced software engineering practices and apply new technologies to develop next generation capabilities and help keep our country safe. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Assist and participate in the requirements, design, development and testing of real-time embedded software, application software, and tools, to include development of new work products or enhancement of existing applications and systems. Design, code, test, integrate, and document software solutions. Participate in internal review of software components and systems. Collaborate with project managers and other professionals within Engineering. Work on problems with defined scope, schedule, and expectations. Follow established development practices and processes to maintain the configuration management of software products. Ability to obtain program access required. What You Will Learn Use new tools that will keep you state-of-the-art. Stay updated with the latest advancements in software development and missile technology to drive innovation. Qualifications You Must Have Typically requires a Bachelor's degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of two years prior relevant experience. Experience with C, C++, or Java. Experience with the integration of real-time software, firmware, and hardware. Active and transferable Secret U.S. government issued security clearance is required prior to start date with the ability to obtain special program access after start. Qualifications We Prefer Knowledge of data structures and algorithms, systems software design, operating systems and architectures. Knowledge of assembly, C/C++ programming, structured programming concepts. Knowledge of object-oriented design and Unified Model Language. Knowledge of statistical and numerical methods. Interpersonal and communication skills, both verbal and written. Demonstrated ability to work effectively with colleagues and leaders in a team environment. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: No Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Space Systems-Missile Defense Integration offers an excellent opportunity for a Principal Engineer Software - SA (26-082) to join our talented and diverse team. Located in Huntsville, AL, this role is essential to supporting the U.S. President, the Secretary of Defense, and combatant commanders at the strategic, regional, and operational levels. This position does not provide relocation assistance and requires on-site work with no remote options. Position Overview: The Command, Control, Battle Management, and Communications (C2BMC) program is a crucial component of the Missile Defense System. It is an essential operational system that enables the U.S. president, the secretary of defense, and combatant commanders at the strategic, regional, and operational levels to plan ballistic missile defense operations, monitor the battle, and dynamically control networked sensors and weapon systems to achieve global and regional mission objectives. C2BMC supports layered missile defense capabilities that enable an optimized response to threats across all ranges and flight phases. It acts as a force multiplier by networking, integrating, and synchronizing autonomous sensor and weapon systems and operations worldwide and regionally to enhance performance. C2BMC is vital for all ground and flight tests that verify and demonstrate the current and future capabilities of missile defense systems. This position is for a Software Engineer on the C2BMC program. The chosen candidate will develop Java software for Systems Architecture (Sys-Ar) within the Regional Applications team in Huntsville, AL. Under supervision, the candidate will apply expertise across multiple systems and software disciplines and have a general understanding of related fields, applications, implications, and customer segments. Essential Functions: Responsible for in-depth analysis and technical support of systems software products, including complex problem resolution, design, development, testing, operational integration, and user support Maintains currency, debugs, and configures related software products Works from specifications to develop or modify operating system applications Assists with design, coding, benchmark testing, debugging, and documentation of programs Interfaces with other system support groups to resolve problems, set standards, and improve the overall efficiency of the operating system Works on most phases of software systems programming applications and may require minor instruction and guidance in other phases 3+ years of relevant experience and possibly a post-secondary degree or training in a related field Basic Qualifications: Please list your current security clearance and IAT or relevant certifications on your resume, if applicable. A Bachelor's Degree in Computer Science, Software Engineering, Mathematics, Physics, or a related field from an accredited university, along with 5 years of experience; or a Master's degree in a related field with 3 years of relevant work experience; or 9 years of relevant work experience may be considered as an alternative to a degree Applicants must have a current, active in-scope DoD-issued Secret security clearance at the time of application, which is required to start Must understand the entire life cycle of software engineering practices and procedures relevant to large software systems, including: Experience developing software using Java Understanding of software unit testing strategies, automated software builds, continuous integration, and continuous deployment Experience developing software on Linux platforms is required Experience with software practices such as coding standards, automated testing, automated build pipelines, and configuration management Preferred Qualifications: Familiarity with automated unit and acceptance testing Understanding of Ballistic Missile Defense concepts, Battle Management and Command and Control (BM/C2) systems, defense communications systems, and the BMDS is desired Hands-on experience with software development and CM tools, including Eclipse, Maven, Gradle, Nexus, JUnit, Confluence, SonarQube, JIRA, Jenkins, Git, and GitLab, is highly desirable Experience with Agile development methodologies Experience developing enterprise applications on Linux (Windows experience also desired) Command and control system application development Experience with DevSecOps and/or build management What We Can Offer You: Northrop Grumman provides a comprehensive benefits package and a work environment that encourages your growth, supporting both employees and the company's success. The benefits at Northrop Grumman are flexible and customizable, letting you choose options that best fit your needs and those of your family. Your benefits will include the following: Health Plan Savings Plan Paid Time Off Education Assistance Training and Development Flexible Work Arrangements Additional Northrop Grumman Information: Primary Level Salary Range: $108,800.00 - $163,200.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
04/15/2026
Full time
RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: No Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Space Systems-Missile Defense Integration offers an excellent opportunity for a Principal Engineer Software - SA (26-082) to join our talented and diverse team. Located in Huntsville, AL, this role is essential to supporting the U.S. President, the Secretary of Defense, and combatant commanders at the strategic, regional, and operational levels. This position does not provide relocation assistance and requires on-site work with no remote options. Position Overview: The Command, Control, Battle Management, and Communications (C2BMC) program is a crucial component of the Missile Defense System. It is an essential operational system that enables the U.S. president, the secretary of defense, and combatant commanders at the strategic, regional, and operational levels to plan ballistic missile defense operations, monitor the battle, and dynamically control networked sensors and weapon systems to achieve global and regional mission objectives. C2BMC supports layered missile defense capabilities that enable an optimized response to threats across all ranges and flight phases. It acts as a force multiplier by networking, integrating, and synchronizing autonomous sensor and weapon systems and operations worldwide and regionally to enhance performance. C2BMC is vital for all ground and flight tests that verify and demonstrate the current and future capabilities of missile defense systems. This position is for a Software Engineer on the C2BMC program. The chosen candidate will develop Java software for Systems Architecture (Sys-Ar) within the Regional Applications team in Huntsville, AL. Under supervision, the candidate will apply expertise across multiple systems and software disciplines and have a general understanding of related fields, applications, implications, and customer segments. Essential Functions: Responsible for in-depth analysis and technical support of systems software products, including complex problem resolution, design, development, testing, operational integration, and user support Maintains currency, debugs, and configures related software products Works from specifications to develop or modify operating system applications Assists with design, coding, benchmark testing, debugging, and documentation of programs Interfaces with other system support groups to resolve problems, set standards, and improve the overall efficiency of the operating system Works on most phases of software systems programming applications and may require minor instruction and guidance in other phases 3+ years of relevant experience and possibly a post-secondary degree or training in a related field Basic Qualifications: Please list your current security clearance and IAT or relevant certifications on your resume, if applicable. A Bachelor's Degree in Computer Science, Software Engineering, Mathematics, Physics, or a related field from an accredited university, along with 5 years of experience; or a Master's degree in a related field with 3 years of relevant work experience; or 9 years of relevant work experience may be considered as an alternative to a degree Applicants must have a current, active in-scope DoD-issued Secret security clearance at the time of application, which is required to start Must understand the entire life cycle of software engineering practices and procedures relevant to large software systems, including: Experience developing software using Java Understanding of software unit testing strategies, automated software builds, continuous integration, and continuous deployment Experience developing software on Linux platforms is required Experience with software practices such as coding standards, automated testing, automated build pipelines, and configuration management Preferred Qualifications: Familiarity with automated unit and acceptance testing Understanding of Ballistic Missile Defense concepts, Battle Management and Command and Control (BM/C2) systems, defense communications systems, and the BMDS is desired Hands-on experience with software development and CM tools, including Eclipse, Maven, Gradle, Nexus, JUnit, Confluence, SonarQube, JIRA, Jenkins, Git, and GitLab, is highly desirable Experience with Agile development methodologies Experience developing enterprise applications on Linux (Windows experience also desired) Command and control system application development Experience with DevSecOps and/or build management What We Can Offer You: Northrop Grumman provides a comprehensive benefits package and a work environment that encourages your growth, supporting both employees and the company's success. The benefits at Northrop Grumman are flexible and customizable, letting you choose options that best fit your needs and those of your family. Your benefits will include the following: Health Plan Savings Plan Paid Time Off Education Assistance Training and Development Flexible Work Arrangements Additional Northrop Grumman Information: Primary Level Salary Range: $108,800.00 - $163,200.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or JavaPreferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in productionCapital 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: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital 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 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).
04/15/2026
Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or JavaPreferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in productionCapital 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: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital 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 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).
Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS)As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. 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.What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systemsPreferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead Machine Learning 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 theCapital 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 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).
04/15/2026
Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS)As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. 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.What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systemsPreferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead Machine Learning 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 theCapital 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 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 (MLX, Agentic AI, Gen AI platform Services)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 JavaPreferred 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 peersCapital 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 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 theCapital 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 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).
04/15/2026
Senior Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)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 JavaPreferred 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 peersCapital 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 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 theCapital 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 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).
Sr. Lead AI EngineerOverview: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 JavaPreferred 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 peersCapital 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 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 theCapital 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 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).
04/15/2026
Sr. Lead AI EngineerOverview: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 JavaPreferred 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 peersCapital 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 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 theCapital 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 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).
Sr. Distinguished AI EngineerAt 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 JavaPreferred 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 Experience building and deploying multi-modal models for technologies like computer vision, speech recognition, optical character recognition, or other sensor systems in application such as robotics, digital assistants, industrial automation, autonomous driving, or relatedCapital 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: $314,800 - $359,300 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 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 theCapital 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 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).
04/15/2026
Sr. Distinguished AI EngineerAt 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 JavaPreferred 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 Experience building and deploying multi-modal models for technologies like computer vision, speech recognition, optical character recognition, or other sensor systems in application such as robotics, digital assistants, industrial automation, autonomous driving, or relatedCapital 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: $314,800 - $359,300 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 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 theCapital 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 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).
Sr. Distinguished AI EngineerAt 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 JavaPreferred 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 Experience building and deploying multi-modal models for technologies like computer vision, speech recognition, optical character recognition, or other sensor systems in application such as robotics, digital assistants, industrial automation, autonomous driving, or relatedCapital 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: $314,800 - $359,300 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 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 theCapital 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 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).
04/15/2026
Sr. Distinguished AI EngineerAt 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 JavaPreferred 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 Experience building and deploying multi-modal models for technologies like computer vision, speech recognition, optical character recognition, or other sensor systems in application such as robotics, digital assistants, industrial automation, autonomous driving, or relatedCapital 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: $314,800 - $359,300 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 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 theCapital 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 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 (AI Foundations, LLM Core and 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 JavaPreferred 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 peersCapital 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: $225,400 - $257,200 for Sr. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 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 theCapital 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 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).
04/15/2026
Senior Lead AI Engineer (AI Foundations, LLM Core and 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 JavaPreferred 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 peersCapital 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: $225,400 - $257,200 for Sr. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 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 theCapital 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 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).
For the past 162 years, Swisher has been an industry leader known for its iconic products and commitment to high quality standards. With a rich history, Swisher serves adult consumers through a diverse range of businesses, including Swisher Sweets Cigar Company, Helme Tobacco Co., Hempire, Rogue Holdings, and Drew Estate: The Rebirth of Cigars. We have a passion for people and helping them build rewarding careers. If you're ready to create excitement and drive what's next in the industry, we'd love to hear from you. We are seeking a seasoned Salesforce System Architect with deep expertise in Consumer Goods Cloud, Retail Execution, and Commerce Cloud. The ideal candidate will bridge the gap between business strategy and technical execution, designing and supporting robust, scalable, and integrated solutions. This position will be responsible for the architectural integrity of our Salesforce ecosystem, ensuring seamless data flow between Salesforce, our Data Lake, and our ERP (NetSuite). Key Responsibilities Provide overall architecture and solution design for Salesforce implementations across multiple projects or large, complex initiatives Define and manage end-to-end technical architecture for Salesforce Consumer Goods Cloud, including data modeling and key capabilities such as Retail Execution, Visit Management, Trade Promotion Management (TPM), and Assortment and Pricing Architect and oversee integrations between Salesforce and external systems, including ERP, Data Lake, and third-party data providers, using APIs, MuleSoft, or other middleware Establish integration patterns that support reliability, scalability, monitoring, and operational support Design high-performance, offline-first mobile solutions for field sales teams to support visit planning, inventory visibility, and order capture Ensure mobile architecture aligns with performance expectations, synchronization requirements, and usability for frontline adoption Establish data management standards to support large data volumes (LDV), ensuring data quality, integrity, security, and regulatory compliance, including GDPR and SOX where applicable Lead technical design reviews and enforce engineering and configuration standards for Apex, Lightning Web Components (LWC), and declarative automation Collaborate with cross-functional business and technology partners to define implementation approaches aligned to business outcomes and platform standards Provide recommendations on how to leverage Salesforce product releases and capabilities, including Einstein AI and Agentforce, to improve retail execution outcomes Guide delivery teams through the full software development lifecycle (SDLC), from discovery and requirements through design, build, testing, deployment, and hypercare Qualifications Bachelor's degree in Computer Science, Information Systems, or a related field 7+ years of Salesforce platform experience, including three to five years in a Solution Architect or Architect role Experience in CPG or Manufacturing environments supporting field sales and retail execution operating models Demonstrated experience designing and implementing Salesforce Consumer Goods Cloud solutions Strong knowledge of Retail Execution, Trade Promotion Management (TPM), and field sales processes Expertise in Salesforce integration patterns and technologies, including REST and SOAP APIs, middleware integration, and data migration approaches Deep understanding of the Salesforce security model, including roles, hierarchies, sharing rules, and access governance Travel: Up to 20% Preferred Qualifications Salesforce Certified System Architect or Salesforce Certified Technical Architect Relevant Salesforce cloud certifications, including Sales Cloud and Consumer Goods Cloud Experience using MuleSoft for enterprise integrations Knowledge of CRM Analytics (Tableau CRM) for retail insights and performance reporting Hands-on experience with CI/CD and release automation tools such as Copado or Gearset What We Offer Base salary and bonus program Medical, dental, vision, life insurance effective on date of hire Generous 401(k) Plan Defined Contribution Plan Paid vacation and paid holidays Tuition reimbursement Official Contact Information Email: All official emails will come from address Website: Verify job listings and contact details on Important: We will never contact you via Teams, Zoom, or Google Meets. If you qualify for an interview the proper meeting method will be shared with you beforehand. Confidential information should only be shared through secure methods outside of email.
04/15/2026
Full time
For the past 162 years, Swisher has been an industry leader known for its iconic products and commitment to high quality standards. With a rich history, Swisher serves adult consumers through a diverse range of businesses, including Swisher Sweets Cigar Company, Helme Tobacco Co., Hempire, Rogue Holdings, and Drew Estate: The Rebirth of Cigars. We have a passion for people and helping them build rewarding careers. If you're ready to create excitement and drive what's next in the industry, we'd love to hear from you. We are seeking a seasoned Salesforce System Architect with deep expertise in Consumer Goods Cloud, Retail Execution, and Commerce Cloud. The ideal candidate will bridge the gap between business strategy and technical execution, designing and supporting robust, scalable, and integrated solutions. This position will be responsible for the architectural integrity of our Salesforce ecosystem, ensuring seamless data flow between Salesforce, our Data Lake, and our ERP (NetSuite). Key Responsibilities Provide overall architecture and solution design for Salesforce implementations across multiple projects or large, complex initiatives Define and manage end-to-end technical architecture for Salesforce Consumer Goods Cloud, including data modeling and key capabilities such as Retail Execution, Visit Management, Trade Promotion Management (TPM), and Assortment and Pricing Architect and oversee integrations between Salesforce and external systems, including ERP, Data Lake, and third-party data providers, using APIs, MuleSoft, or other middleware Establish integration patterns that support reliability, scalability, monitoring, and operational support Design high-performance, offline-first mobile solutions for field sales teams to support visit planning, inventory visibility, and order capture Ensure mobile architecture aligns with performance expectations, synchronization requirements, and usability for frontline adoption Establish data management standards to support large data volumes (LDV), ensuring data quality, integrity, security, and regulatory compliance, including GDPR and SOX where applicable Lead technical design reviews and enforce engineering and configuration standards for Apex, Lightning Web Components (LWC), and declarative automation Collaborate with cross-functional business and technology partners to define implementation approaches aligned to business outcomes and platform standards Provide recommendations on how to leverage Salesforce product releases and capabilities, including Einstein AI and Agentforce, to improve retail execution outcomes Guide delivery teams through the full software development lifecycle (SDLC), from discovery and requirements through design, build, testing, deployment, and hypercare Qualifications Bachelor's degree in Computer Science, Information Systems, or a related field 7+ years of Salesforce platform experience, including three to five years in a Solution Architect or Architect role Experience in CPG or Manufacturing environments supporting field sales and retail execution operating models Demonstrated experience designing and implementing Salesforce Consumer Goods Cloud solutions Strong knowledge of Retail Execution, Trade Promotion Management (TPM), and field sales processes Expertise in Salesforce integration patterns and technologies, including REST and SOAP APIs, middleware integration, and data migration approaches Deep understanding of the Salesforce security model, including roles, hierarchies, sharing rules, and access governance Travel: Up to 20% Preferred Qualifications Salesforce Certified System Architect or Salesforce Certified Technical Architect Relevant Salesforce cloud certifications, including Sales Cloud and Consumer Goods Cloud Experience using MuleSoft for enterprise integrations Knowledge of CRM Analytics (Tableau CRM) for retail insights and performance reporting Hands-on experience with CI/CD and release automation tools such as Copado or Gearset What We Offer Base salary and bonus program Medical, dental, vision, life insurance effective on date of hire Generous 401(k) Plan Defined Contribution Plan Paid vacation and paid holidays Tuition reimbursement Official Contact Information Email: All official emails will come from address Website: Verify job listings and contact details on Important: We will never contact you via Teams, Zoom, or Google Meets. If you qualify for an interview the proper meeting method will be shared with you beforehand. Confidential information should only be shared through secure methods outside of email.
