W2 Machine Learning Engineer in Los Angeles, CA. Opportunity! This Jobot Consulting Job is hosted by: Robert Reyes Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $120,000 - $180,000 per year A bit about us: Prestige Hospital System Placed in both California in a broad assessment of excellence in hospital-based patient care. Why join us? Competitive Salary Stellar Benefits (Medical, Dental Vision, Life Insurance) Flexible Schedule Job Stability Career growth The position offers a competitive salary If you are passionate, thrive in a fast-paced environment and are ready to take your career to the next level, we would love to hear from you. Job Details Job Details: We are seeking a dynamic and innovative Consulting Machine Learning Engineer to join our Tech Services team. The successful candidate will be responsible for the full lifecycle management of machine learning models, including design, build, and maintenance. As an MLOps Engineer, you will play an integral role in implementing artificial intelligence solutions across our organization. You will partner with data scientists, data team members, and clinical operations to deploy, monitor, and maintain machine learning solutions that will improve operational efficiency and advance research. Responsibilities: Deploying and maintaining production-grade machine learning models, ensuring real-time inference, scalability, and reliability. Developing end-to-end scalable ML infrastructures using on-premise cloud platforms such as AWS, GCP, or Azure. Leading engineering efforts in creating and implementing methods and workflows for ML/GenAI model engineering, LLM advancements, and optimizing deployment frameworks. Developing AI pipelines for various data processing needs, ensuring solutions meet all technical and business requirements. Collaborating with data scientists, data engineers, analytics teams, and DevOps teams to design and implement robust deployment pipelines. Implementing and optimizing CI/CD pipelines for machine learning models, automating testing and deployment processes. Setting up monitoring and logging solutions to track model performance, system health, and anomalies. Implementing version control systems for machine learning models and associated code. Ensuring machine learning systems meet security and compliance standards, including data protection and privacy regulations. Maintaining clear and comprehensive documentation of ML Ops processes and configurations. Qualifications: Bachelor's degree in computer science, artificial intelligence, informatics or closely related field. Master's degree in computer science, engineering or closely related field. Minimum of 3 years relevant Machine Learning Engineer Experience. Experience with AI and machine learning platforms (e.g., AWS, Azure or GCP). Proficiency in containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes). Experience with CI/CD tools (e.g., Github Actions). Proficiency in programming languages and frameworks (e.g., Python, R, SQL). Deep understanding of coding, architecture, and deployment processes. Strong understanding of critical performance metrics. Extensive experience in predictive modeling, LLMs, and NLP. Understanding of healthcare regulations and standards, and familiarity with Electronic Health Records (EHR) systems. Experience in managing end-to-end ML lifecycle and automation with Terraform is a must. Ability to effectively articulate the advantages and applications of the RAG framework with LLMs. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
04/15/2026
Full time
W2 Machine Learning Engineer in Los Angeles, CA. Opportunity! This Jobot Consulting Job is hosted by: Robert Reyes Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $120,000 - $180,000 per year A bit about us: Prestige Hospital System Placed in both California in a broad assessment of excellence in hospital-based patient care. Why join us? Competitive Salary Stellar Benefits (Medical, Dental Vision, Life Insurance) Flexible Schedule Job Stability Career growth The position offers a competitive salary If you are passionate, thrive in a fast-paced environment and are ready to take your career to the next level, we would love to hear from you. Job Details Job Details: We are seeking a dynamic and innovative Consulting Machine Learning Engineer to join our Tech Services team. The successful candidate will be responsible for the full lifecycle management of machine learning models, including design, build, and maintenance. As an MLOps Engineer, you will play an integral role in implementing artificial intelligence solutions across our organization. You will partner with data scientists, data team members, and clinical operations to deploy, monitor, and maintain machine learning solutions that will improve operational efficiency and advance research. Responsibilities: Deploying and maintaining production-grade machine learning models, ensuring real-time inference, scalability, and reliability. Developing end-to-end scalable ML infrastructures using on-premise cloud platforms such as AWS, GCP, or Azure. Leading engineering efforts in creating and implementing methods and workflows for ML/GenAI model engineering, LLM advancements, and optimizing deployment frameworks. Developing AI pipelines for various data processing needs, ensuring solutions meet all technical and business requirements. Collaborating with data scientists, data engineers, analytics teams, and DevOps teams to design and implement robust deployment pipelines. Implementing and optimizing CI/CD pipelines for machine learning models, automating testing and deployment processes. Setting up monitoring and logging solutions to track model performance, system health, and anomalies. Implementing version control systems for machine learning models and associated code. Ensuring machine learning systems meet security and compliance standards, including data protection and privacy regulations. Maintaining clear and comprehensive documentation of ML Ops processes and configurations. Qualifications: Bachelor's degree in computer science, artificial intelligence, informatics or closely related field. Master's degree in computer science, engineering or closely related field. Minimum of 3 years relevant Machine Learning Engineer Experience. Experience with AI and machine learning platforms (e.g., AWS, Azure or GCP). Proficiency in containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes). Experience with CI/CD tools (e.g., Github Actions). Proficiency in programming languages and frameworks (e.g., Python, R, SQL). Deep understanding of coding, architecture, and deployment processes. Strong understanding of critical performance metrics. Extensive experience in predictive modeling, LLMs, and NLP. Understanding of healthcare regulations and standards, and familiarity with Electronic Health Records (EHR) systems. Experience in managing end-to-end ML lifecycle and automation with Terraform is a must. Ability to effectively articulate the advantages and applications of the RAG framework with LLMs. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Associate, Systems Engineer Job Code: 35437 Job Location: Greenville, TX Job Schedule: 9/80 Job Description: The Systems Engineer will be responsible for providing engineering support through the entire product lifecycle including system design, development, integration and test, field deployment, and operator training. Some travel required to support domestic customer demonstrations and integration efforts. Essential Functions: Review and evaluate electrical wiring diagrams to ensure design details trace to system requirements Review and evaluate documents to ensure design details trace to system requirements Understand test, integration, verification, and validation planning Develop system/subsystem test procedures Integrate and test complex systems in both SIL and aircraft environments Understand physical architecture incorporating COMMS Systems capabilities across multiple security domains Perform test, verification, validation of system requirements System maintenance, sustainment, and obsolescence mitigation Qualifications: Bachelor's Degree and a minimum of 2 years of prior related experience. Graduate Degree or equivalent with 0 to 2 years of prior related experience. In lieu of a degree, minimum of 6 years of prior related experience. Must be able to obtain/maintain a DoD Top Secret (TS/SCI) clearance. Preferred Additional Skills: Demonstrated experience with full MS Office suite. Ability to communicate technical information to stakeholders at all levels. Demonstrated experience producing and reviewing aircraft drawings and documentation. Demonstrated experience with testing, integrating, and verifying networks. Demonstrated experience conducting verification testing. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
04/15/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Associate, Systems Engineer Job Code: 35437 Job Location: Greenville, TX Job Schedule: 9/80 Job Description: The Systems Engineer will be responsible for providing engineering support through the entire product lifecycle including system design, development, integration and test, field deployment, and operator training. Some travel required to support domestic customer demonstrations and integration efforts. Essential Functions: Review and evaluate electrical wiring diagrams to ensure design details trace to system requirements Review and evaluate documents to ensure design details trace to system requirements Understand test, integration, verification, and validation planning Develop system/subsystem test procedures Integrate and test complex systems in both SIL and aircraft environments Understand physical architecture incorporating COMMS Systems capabilities across multiple security domains Perform test, verification, validation of system requirements System maintenance, sustainment, and obsolescence mitigation Qualifications: Bachelor's Degree and a minimum of 2 years of prior related experience. Graduate Degree or equivalent with 0 to 2 years of prior related experience. In lieu of a degree, minimum of 6 years of prior related experience. Must be able to obtain/maintain a DoD Top Secret (TS/SCI) clearance. Preferred Additional Skills: Demonstrated experience with full MS Office suite. Ability to communicate technical information to stakeholders at all levels. Demonstrated experience producing and reviewing aircraft drawings and documentation. Demonstrated experience with testing, integrating, and verifying networks. Demonstrated experience conducting verification testing. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
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
Date Posted: 2026-02-24 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 801 (External Site) 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. Raytheon is seeking a Senior Principal Systems Security Engineer (Program Protection / Anti-Tamper) - P5 to join our elite Systems Security Engineering (SSE) team for the Systems Directorate in developing solutions to protect the Warfighter's technology advantage. Systems Security Engineering creates holistic security solutions leveraging Cybersecurity, Software Assurance and Supply Chain Risk Management to support Program Protection on embedded weapons systems. Join our highly visible team and perform technically challenging assignments, which will directly contribute to protecting our nation and our Warfighters. The individual will work with the program and customer in the development of the system, providing strategic input and planning for the system, applications, architecture, and design in a dynamic, agile development environment. This is an onsite position at Raytheon in Tucson, AZ. What You Will Do Support implementation of SSE solutions into RTX products Interact with customer to define SSE requirements, solutions, trades, costs, implementation, system impacts, and effectiveness Support developing plans and estimates, task execution, project tracking, reporting, and risk identification and mitigation plans Plan and guide SSE implementations in customer systems Consult and assist program line management with SSE architectures and issues Attack threat modeling / Critical Program Information Assessments Developing top-level system requirements, and flowing down requirements and implementation concepts to subsystem Understanding, and compliance with, DoD technology release and export licensing policies Validate secure configuration of routers, switches, firewalls, servers, operating systems, applications, and other assets, using DoD approved scanning and assessment tools such as ACAS, STIG, SCAP Compliance Checker, and HBSS Performing Task Lead duties (e.g., task planning, product owner, scrum master) Qualifications You Must Have Typically requires a Bachelor's in Science, Technology, Engineering or Mathematics (STEM) and 10 years of prior relevant experience Active and transferable U.S. government issued DoD Secret security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Experience in technical leadership Experience in the fields of System Security Engineering, computer technology reverse engineering, Anti Tamper, cybersecurity or embedded security Qualifications We Prefer DoD Top Secret clearance with current SSBI within last 5 years desired Experience in design, development and fielding of SSE systems Software, Firmware, & Microelectronics Engineering, Cryptography and FPGA design Attack threat modeling / Critical Program Information Assessments Attack threat modeling / Critical Program Information Assessments Experience in the implementation and business growth of SSE implementation throughout the entire life cycle Experience in solutions meeting robust SSE systems security requirements Cyber Certifications in accordance with DoDD 8570/DoDD 8140 such as CISSP, GSLC, CEH Program management experience with SSE Broad understanding of technology and working knowledge of DODI-S-5230.28 Aircraft/weapons integration experience Strategic planning and proposal writing skills Candidate must exhibit an exceptional degree of ingenuity, creativity, and resourcefulness Excellent interpersonal skills with the ability to interact positively with coworkers, suppliers, stakeholders, and customers in a team environment Experience contributing in a team environment for the purpose of developing creative solutions to technical problems What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation Relocation Eligible - Relocation assistance is available 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 132,400 USD - 251,600 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 801 (External Site) 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. Raytheon is seeking a Senior Principal Systems Security Engineer (Program Protection / Anti-Tamper) - P5 to join our elite Systems Security Engineering (SSE) team for the Systems Directorate in developing solutions to protect the Warfighter's technology advantage. Systems Security Engineering creates holistic security solutions leveraging Cybersecurity, Software Assurance and Supply Chain Risk Management to support Program Protection on embedded weapons systems. Join our highly visible team and perform technically challenging assignments, which will directly contribute to protecting our nation and our Warfighters. The individual will work with the program and customer in the development of the system, providing strategic input and planning for the system, applications, architecture, and design in a dynamic, agile development environment. This is an onsite position at Raytheon in Tucson, AZ. What You Will Do Support implementation of SSE solutions into RTX products Interact with customer to define SSE requirements, solutions, trades, costs, implementation, system impacts, and effectiveness Support developing plans and estimates, task execution, project tracking, reporting, and risk identification and mitigation plans Plan and guide SSE implementations in customer systems Consult and assist program line management with SSE architectures and issues Attack threat modeling / Critical Program Information Assessments Developing top-level system requirements, and flowing down requirements and implementation concepts to subsystem Understanding, and compliance with, DoD technology release and export licensing policies Validate secure configuration of routers, switches, firewalls, servers, operating systems, applications, and other assets, using DoD approved scanning and assessment tools such as ACAS, STIG, SCAP Compliance Checker, and HBSS Performing Task Lead duties (e.g., task planning, product owner, scrum master) Qualifications You Must Have Typically requires a Bachelor's in Science, Technology, Engineering or Mathematics (STEM) and 10 years of prior relevant experience Active and transferable U.S. government issued DoD Secret security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Experience in technical leadership Experience in the fields of System Security Engineering, computer technology reverse engineering, Anti Tamper, cybersecurity or embedded security Qualifications We Prefer DoD Top Secret clearance with current SSBI within last 5 years desired Experience in design, development and fielding of SSE systems Software, Firmware, & Microelectronics Engineering, Cryptography and FPGA design Attack threat modeling / Critical Program Information Assessments Attack threat modeling / Critical Program Information Assessments Experience in the implementation and business growth of SSE implementation throughout the entire life cycle Experience in solutions meeting robust SSE systems security requirements Cyber Certifications in accordance with DoDD 8570/DoDD 8140 such as CISSP, GSLC, CEH Program management experience with SSE Broad understanding of technology and working knowledge of DODI-S-5230.28 Aircraft/weapons integration experience Strategic planning and proposal writing skills Candidate must exhibit an exceptional degree of ingenuity, creativity, and resourcefulness Excellent interpersonal skills with the ability to interact positively with coworkers, suppliers, stakeholders, and customers in a team environment Experience contributing in a team environment for the purpose of developing creative solutions to technical problems What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation Relocation Eligible - Relocation assistance is available 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 132,400 USD - 251,600 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: Relocation assistance may be available CLEARANCE TYPE: Secret TRAVEL: Yes, 25% 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. Join Northrop Grumman on our continued mission to push the boundaries of possible across land, sea, air, space, and cyberspace. Enjoy a culture where your voice is valued and start contributing to our team of passionate professionals providing real-life solutions to our world's biggest challenges. We take pride in creating purposeful work and allowing our employees to grow and achieve their goals every day by Defining Possible. With our competitive pay and comprehensive benefits, we have the right opportunities to fit your life and launch your career today. Northrop Grumman Defense Systems is seeking a highly motivated and qualified Staff System Data Architect in Roy, Utah, Huntsville, AL, Bellevue, NE, Colorado Springs, CO or Manhattan Beach, CA. Northrop Grumman supports the Air Force's sustainment, development, production and deployment of hardware and system modifications for Intercontinental Ballistic Missile (ICBM) Ground and Airborne Launch Control Systems, Launch Facilities and associated infrastructure. What you will get to do: Specific duties to include: Develop and execute a comprehensive data strategy, aligned with the organization's goals, and focuses on digital engineering, digital thread, and advanced analytics across weapon system design for initial development through sustainment. Oversee the design, implementation, and maintenance of scalable data infrastructure, to include data creation/collection, storage, management, integration and analysis, and data serving. Collaborate with engineering and business leaders to align data initiatives with program goals. Develop and enable program data risks management process in concurrence with program risk management. Maintain knowledge of current and emerging Industry and DoD trends and technologies in data frameworks, management and analytics and ensure proper utilization where applicable. Mentor and build a high-performing data team, fostering a culture of technical excellence and innovation. Serve as a thought leader, representing the company at industry forums, conferences, and with government and commercial partners. General Responsibilities: Display strong stakeholder management skills, including presenting solutions to senior leadership. Leading organizational change and ensuring successful adoption of new technologies and best practices. Mentor junior engineers and fostering a culture of continuous improvement. Build and lead high-performing teams, including recruitment, performance management, and professional development. Ability to strategically allocate resources and manage budgets to optimize team performance and deliver value-driven results. Design and implement DevOps frameworks for data teams, improving operational efficiency and reducing time-to-insight. Drive company-wide data strategy and innovation, aligning technical goals with business objectives. Influence and gain buy-in from key stakeholders, ensuring alignment and successful project delivery. Manage data governance, data security, data modeling, and enterprise architecture frameworks. Provide experience in understanding, managing, and integrating business or DoD Program data across a variety of tool sets and data sources. Data Architecture development with and understanding of data lakes, warehouses, and/or streaming platforms. Technical Skills and Core Competencies: Data Engineering experience with Architecture frameworks such as FACE, GCIA, EAF, FAF,OCSF Data Engineering experience with modeling languages such as AADL, SysML, and UML and tooling modeling environments, processes, and tools such as ACVIP, CAMEO, Rational, OSATE, CAMET, and CVIT. Continuous Integration/Continuous Deployment experience with CI/CD tools like Git tailored for data pipelines. Cloud Expertise experience and/or knowledge in cloud platforms like AWS or Azure. Basic Qualifications: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field with 12 years of experience; or Master's degree with 10 years of experience; or PhD with 8 years of experience Must be a US Citizen with an active U.S. Government DoD Secret security clearance at time of application with an investigation completed within the last 6 years Must have the ability to obtain Special Access Program (SAP) 4+ years of experience in data infrastructure, DevOps, and data engineering, with 2+ years in a leadership or senior technical role. 3 years of experience architecting and realizing scalable, secure, and cost-effective network platforms 3 years of demonstrated experience in leading large-scale projects from conception to deployment, managing multidisciplinary teams, and driving success through strategic vision and strong leadership. Travel up to 25% Preferred Qualifications: Master's degree or Ph.D. in data engineering, data science, computer science, cloud computing, or a related field. Active TS/SCI or TS with SCI eligibility at time of application. Relevant certifications such as AWS Certified Solutions Architect (Professional), AWS Certified Data Analytics Specialty, Azure Data Engineer Associate, or Google Professional Data Engineer. MLOps Expertise, Observability Tools, Data Versioning, and Containerization for deploying data engineering workflows. Expertise in cloud security best practices, including IAM, encryption, and compliance with frameworks like NIST or FedRAMP. Knowledge of advanced networking concepts such as VPC peering, VPNs, and load balancing for data-heavy applications. Position Benefits: As a full-time employee of Northrop Grumman Defense Systems, 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. This role may offer a competitive relocation assistance package. Primary Level Salary Range: $171,000.00 - $256,400.00 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 TYPE: Secret TRAVEL: Yes, 25% 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. Join Northrop Grumman on our continued mission to push the boundaries of possible across land, sea, air, space, and cyberspace. Enjoy a culture where your voice is valued and start contributing to our team of passionate professionals providing real-life solutions to our world's biggest challenges. We take pride in creating purposeful work and allowing our employees to grow and achieve their goals every day by Defining Possible. With our competitive pay and comprehensive benefits, we have the right opportunities to fit your life and launch your career today. Northrop Grumman Defense Systems is seeking a highly motivated and qualified Staff System Data Architect in Roy, Utah, Huntsville, AL, Bellevue, NE, Colorado Springs, CO or Manhattan Beach, CA. Northrop Grumman supports the Air Force's sustainment, development, production and deployment of hardware and system modifications for Intercontinental Ballistic Missile (ICBM) Ground and Airborne Launch Control Systems, Launch Facilities and associated infrastructure. What you will get to do: Specific duties to include: Develop and execute a comprehensive data strategy, aligned with the organization's goals, and focuses on digital engineering, digital thread, and advanced analytics across weapon system design for initial development through sustainment. Oversee the design, implementation, and maintenance of scalable data infrastructure, to include data creation/collection, storage, management, integration and analysis, and data serving. Collaborate with engineering and business leaders to align data initiatives with program goals. Develop and enable program data risks management process in concurrence with program risk management. Maintain knowledge of current and emerging Industry and DoD trends and technologies in data frameworks, management and analytics and ensure proper utilization where applicable. Mentor and build a high-performing data team, fostering a culture of technical excellence and innovation. Serve as a thought leader, representing the company at industry forums, conferences, and with government and commercial partners. General Responsibilities: Display strong stakeholder management skills, including presenting solutions to senior leadership. Leading organizational change and ensuring successful adoption of new technologies and best practices. Mentor junior engineers and fostering a culture of continuous improvement. Build and lead high-performing teams, including recruitment, performance management, and professional development. Ability to strategically allocate resources and manage budgets to optimize team performance and deliver value-driven results. Design and implement DevOps frameworks for data teams, improving operational efficiency and reducing time-to-insight. Drive company-wide data strategy and innovation, aligning technical goals with business objectives. Influence and gain buy-in from key stakeholders, ensuring alignment and successful project delivery. Manage data governance, data security, data modeling, and enterprise architecture frameworks. Provide experience in understanding, managing, and integrating business or DoD Program data across a variety of tool sets and data sources. Data Architecture development with and understanding of data lakes, warehouses, and/or streaming platforms. Technical Skills and Core Competencies: Data Engineering experience with Architecture frameworks such as FACE, GCIA, EAF, FAF,OCSF Data Engineering experience with modeling languages such as AADL, SysML, and UML and tooling modeling environments, processes, and tools such as ACVIP, CAMEO, Rational, OSATE, CAMET, and CVIT. Continuous Integration/Continuous Deployment experience with CI/CD tools like Git tailored for data pipelines. Cloud Expertise experience and/or knowledge in cloud platforms like AWS or Azure. Basic Qualifications: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field with 12 years of experience; or Master's degree with 10 years of experience; or PhD with 8 years of experience Must be a US Citizen with an active U.S. Government DoD Secret security clearance at time of application with an investigation completed within the last 6 years Must have the ability to obtain Special Access Program (SAP) 4+ years of experience in data infrastructure, DevOps, and data engineering, with 2+ years in a leadership or senior technical role. 3 years of experience architecting and realizing scalable, secure, and cost-effective network platforms 3 years of demonstrated experience in leading large-scale projects from conception to deployment, managing multidisciplinary teams, and driving success through strategic vision and strong leadership. Travel up to 25% Preferred Qualifications: Master's degree or Ph.D. in data engineering, data science, computer science, cloud computing, or a related field. Active TS/SCI or TS with SCI eligibility at time of application. Relevant certifications such as AWS Certified Solutions Architect (Professional), AWS Certified Data Analytics Specialty, Azure Data Engineer Associate, or Google Professional Data Engineer. MLOps Expertise, Observability Tools, Data Versioning, and Containerization for deploying data engineering workflows. Expertise in cloud security best practices, including IAM, encryption, and compliance with frameworks like NIST or FedRAMP. Knowledge of advanced networking concepts such as VPC peering, VPNs, and load balancing for data-heavy applications. Position Benefits: As a full-time employee of Northrop Grumman Defense Systems, 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. This role may offer a competitive relocation assistance package. Primary Level Salary Range: $171,000.00 - $256,400.00 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: 2026-03-19 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 801 (External Site) 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: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date 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. This position is 100% on site in Tucson, AZ and is 4th shift: 7am to 7pm Friday, Saturday, and Sunday Job Description: The Test Solutions Center (TSC) team within the Hardware Discipline Center is a multi-discipline organization that provides test solutions to support production lines for our entire missile portfolio. The software team within TSC is responsible for developing advanced windows application solutions for all Raytheon products. We are hands-on, designing with the latest technology and tools, and integrating state-of-the-art software solutions with the most advanced engineering systems in the world. TSC products are in engineering labs, in the field, and in production environments utilized for weapon system products. TSC has job opportunities across all phases of the engineering lifecycle, including demonstrations, early engineering tests, design verification tests, production, and post-production sustainment. The Senior Software Engineer with Test Equipment position is focused on the design, development, integration, and maintenance of software as a part of on-site factory support of systems to support weapon system product development. The selected candidate will develop applications, libraries, and instrument drivers using the software style, development language, and integrated development environment specified by the organization. The selected candidate will contribute to multidiscipline engineering teams. Typical work involves the development of both engineering and production equipment, environments, and systems. As such, the candidate will contribute to the completion of all stages of product development for RMD weapon system products. They will be expected to work, either as a part of a team or independently, to design, develop, and implement system level applications in support of producing and maintaining weapon system products. What You Will Do: Design, develop and integrate object-oriented software applications using C#, C++ in Microsoft Visual Studio in a Windows Operating System (OS) Prioritize and handle multiple software engineering tasks concurrently Troubleshoot software and test equipment instrumentation Work in a multidiscipline engineering team environment Develop and derive requirements for software products Qualifications You Must Have: Typically requires a Bachelor's Degree in Science, Technology, Engineering, or Mathematics (STEM) and minimum 5 years prior relevant experience, or an Advanced degree in a related field and minimum 3 years experience. Experience in developing and integrating software applications using programming languages including but not limited to C++, C#, Java, Python or Visual Basic. Experience in utilizing integrated development environments and debugging tools to troubleshoot software implementation and ensure integrity of the software products. Experience with Windows Operating System and Microsoft Visual Studio is required. The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer: Familiar with computer architecture and computer hardware optimization techniques Working knowledge of the development of software drivers for the operation of computer hardware interfaces Working knowledge in common computer hardware interface and data protocols such as TCP/IP, UDP, or RS-422 Familiarity with laboratory test instrumentation, electronics, and software (Ex. oscilloscopes, power supplies, digital multimeters) Experience with Unified Modeling Language (UML) to visualize software architecture and design Experience of software development lifecycles, such as Waterfall and Agile Experience with Software Configuration Management principles Experience with Microsoft Azure DevOps Server or GitHub Good written and interpersonal communication skills 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. 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. This position requires onsite work in Tucson, AZ: ,-az-location 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 86,800 USD - 165,200 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: 2026-03-19 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 801 (External Site) 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: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date 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. This position is 100% on site in Tucson, AZ and is 4th shift: 7am to 7pm Friday, Saturday, and Sunday Job Description: The Test Solutions Center (TSC) team within the Hardware Discipline Center is a multi-discipline organization that provides test solutions to support production lines for our entire missile portfolio. The software team within TSC is responsible for developing advanced windows application solutions for all Raytheon products. We are hands-on, designing with the latest technology and tools, and integrating state-of-the-art software solutions with the most advanced engineering systems in the world. TSC products are in engineering labs, in the field, and in production environments utilized for weapon system products. TSC has job opportunities across all phases of the engineering lifecycle, including demonstrations, early engineering tests, design verification tests, production, and post-production sustainment. The Senior Software Engineer with Test Equipment position is focused on the design, development, integration, and maintenance of software as a part of on-site factory support of systems to support weapon system product development. The selected candidate will develop applications, libraries, and instrument drivers using the software style, development language, and integrated development environment specified by the organization. The selected candidate will contribute to multidiscipline engineering teams. Typical work involves the development of both engineering and production equipment, environments, and systems. As such, the candidate will contribute to the completion of all stages of product development for RMD weapon system products. They will be expected to work, either as a part of a team or independently, to design, develop, and implement system level applications in support of producing and maintaining weapon system products. What You Will Do: Design, develop and integrate object-oriented software applications using C#, C++ in Microsoft Visual Studio in a Windows Operating System (OS) Prioritize and handle multiple software engineering tasks concurrently Troubleshoot software and test equipment instrumentation Work in a multidiscipline engineering team environment Develop and derive requirements for software products Qualifications You Must Have: Typically requires a Bachelor's Degree in Science, Technology, Engineering, or Mathematics (STEM) and minimum 5 years prior relevant experience, or an Advanced degree in a related field and minimum 3 years experience. Experience in developing and integrating software applications using programming languages including but not limited to C++, C#, Java, Python or Visual Basic. Experience in utilizing integrated development environments and debugging tools to troubleshoot software implementation and ensure integrity of the software products. Experience with Windows Operating System and Microsoft Visual Studio is required. The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer: Familiar with computer architecture and computer hardware optimization techniques Working knowledge of the development of software drivers for the operation of computer hardware interfaces Working knowledge in common computer hardware interface and data protocols such as TCP/IP, UDP, or RS-422 Familiarity with laboratory test instrumentation, electronics, and software (Ex. oscilloscopes, power supplies, digital multimeters) Experience with Unified Modeling Language (UML) to visualize software architecture and design Experience of software development lifecycles, such as Waterfall and Agile Experience with Software Configuration Management principles Experience with Microsoft Azure DevOps Server or GitHub Good written and interpersonal communication skills 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. 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. This position requires onsite work in Tucson, AZ: ,-az-location 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 86,800 USD - 165,200 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
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Associate, Systems Engineer Job Code: 35437 Job Location: Greenville, TX Job Schedule: 9/80 Job Description: The Systems Engineer will be responsible for providing engineering support through the entire product lifecycle including system design, development, integration and test, field deployment, and operator training. Some travel required to support domestic customer demonstrations and integration efforts. Essential Functions: Review and evaluate electrical wiring diagrams to ensure design details trace to system requirements Review and evaluate documents to ensure design details trace to system requirements Understand test, integration, verification, and validation planning Develop system/subsystem test procedures Integrate and test complex systems in both SIL and aircraft environments Understand physical architecture incorporating COMMS Systems capabilities across multiple security domains Perform test, verification, validation of system requirements System maintenance, sustainment, and obsolescence mitigation Qualifications: Bachelor's Degree and a minimum of 2 years of prior related experience. Graduate Degree or equivalent with 0 to 2 years of prior related experience. In lieu of a degree, minimum of 6 years of prior related experience. Must be able to obtain/maintain a DoD Top Secret (TS/SCI) clearance. Preferred Additional Skills: Demonstrated experience with full MS Office suite. Ability to communicate technical information to stakeholders at all levels. Demonstrated experience producing and reviewing aircraft drawings and documentation. Demonstratedexperience with testing, integrating, and verifying networks. Demonstrated experience conducting verification testing. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
04/15/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Associate, Systems Engineer Job Code: 35437 Job Location: Greenville, TX Job Schedule: 9/80 Job Description: The Systems Engineer will be responsible for providing engineering support through the entire product lifecycle including system design, development, integration and test, field deployment, and operator training. Some travel required to support domestic customer demonstrations and integration efforts. Essential Functions: Review and evaluate electrical wiring diagrams to ensure design details trace to system requirements Review and evaluate documents to ensure design details trace to system requirements Understand test, integration, verification, and validation planning Develop system/subsystem test procedures Integrate and test complex systems in both SIL and aircraft environments Understand physical architecture incorporating COMMS Systems capabilities across multiple security domains Perform test, verification, validation of system requirements System maintenance, sustainment, and obsolescence mitigation Qualifications: Bachelor's Degree and a minimum of 2 years of prior related experience. Graduate Degree or equivalent with 0 to 2 years of prior related experience. In lieu of a degree, minimum of 6 years of prior related experience. Must be able to obtain/maintain a DoD Top Secret (TS/SCI) clearance. Preferred Additional Skills: Demonstrated experience with full MS Office suite. Ability to communicate technical information to stakeholders at all levels. Demonstrated experience producing and reviewing aircraft drawings and documentation. Demonstratedexperience with testing, integrating, and verifying networks. Demonstrated experience conducting verification testing. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
Date Posted: 2026-02-24 Country: United States of America Location: US-MA-ANDOVER-AN1 350 Lowell St AN1 ESSEX BLDG 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: DoD Clearance: Secret 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. Raytheon's Land Air Defense Systems (LADS) Engineering Execution Department is seeking a skilled and motivated Cross Product Team Lead (CPTL) to support a large Patriot missile program. The CPTL is responsible for various engineering activities, including defining early integration in cooperation with the project development teams, directing CPT engineers, supporting the planning for requirements sell off, planning, execution, and analysis for system integration and verification, in hardware-in-the-loop facilities, ground and flight tests. Activities require the ability to support alternate shifts and/or extended hours and require travel. This position is onsite based in Andover, MA. What You Will Do Responsible for cost, schedule and execution for Missile systems integration, verification and validation scope across a program. Lead a small team of engineers with planning and execution of integration and test activities for missile sub-assemblies. Working with systems engineers to define knowledge points ensuring risk burn-down throughout the development process. Mentor junior engineers with establishing methodical and disciplined processes for planning and execution of integration and test activities. Prepare documentation such as test plans, procedures, integration information sheets, test cases, and reports. Analyze data to identify and resolve system performance issues and complete requirement verification. Compile, summarize, and present data analysis to internal and external stakeholders, including program leadership and external customers. Collaborate across engineering functions to drive performance and resolve issues. Includes working closely with operations and manufacturing teams. Brief Program Management and USG customer on plans and status Travel as required to meet programmatic objectives. Regular travel between multiple Raytheon locations in Massachusetts is required. Occasional domestic and potential international travel. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 10 years of prior relevant experience. Experience developing program baselines, managing cost, schedule and quality for technical projects. Experience leading/contributing to proposals, such as creating BOEs or contributing to leadership proposal reviews. Active and transferable U.S. government issued SECRET security clearance is required prior to start date. U.S. citizenship is required as only U.S. Citizens are eligible for a clearance. Qualifications We Prefer Experience with system integration, verification and test of complex missile systems. Experience with planning and conducting integration and test events such as flight test missions. Earned Value Certification. Test Architect Certification. Ability to collaborate with other engineering disciplines, Quality, Reliability, and program management. Strong communication and leadership skills for coordinating across internal and external stakeholders. 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 Eligibility- Relocation assistance is available. 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. This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA), 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: MA Locations: Raytheon Andover, MA Location We Are RTX 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 132,400 USD - 251,600 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-MA-ANDOVER-AN1 350 Lowell St AN1 ESSEX BLDG 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: DoD Clearance: Secret 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. Raytheon's Land Air Defense Systems (LADS) Engineering Execution Department is seeking a skilled and motivated Cross Product Team Lead (CPTL) to support a large Patriot missile program. The CPTL is responsible for various engineering activities, including defining early integration in cooperation with the project development teams, directing CPT engineers, supporting the planning for requirements sell off, planning, execution, and analysis for system integration and verification, in hardware-in-the-loop facilities, ground and flight tests. Activities require the ability to support alternate shifts and/or extended hours and require travel. This position is onsite based in Andover, MA. What You Will Do Responsible for cost, schedule and execution for Missile systems integration, verification and validation scope across a program. Lead a small team of engineers with planning and execution of integration and test activities for missile sub-assemblies. Working with systems engineers to define knowledge points ensuring risk burn-down throughout the development process. Mentor junior engineers with establishing methodical and disciplined processes for planning and execution of integration and test activities. Prepare documentation such as test plans, procedures, integration information sheets, test cases, and reports. Analyze data to identify and resolve system performance issues and complete requirement verification. Compile, summarize, and present data analysis to internal and external stakeholders, including program leadership and external customers. Collaborate across engineering functions to drive performance and resolve issues. Includes working closely with operations and manufacturing teams. Brief Program Management and USG customer on plans and status Travel as required to meet programmatic objectives. Regular travel between multiple Raytheon locations in Massachusetts is required. Occasional domestic and potential international travel. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 10 years of prior relevant experience. Experience developing program baselines, managing cost, schedule and quality for technical projects. Experience leading/contributing to proposals, such as creating BOEs or contributing to leadership proposal reviews. Active and transferable U.S. government issued SECRET security clearance is required prior to start date. U.S. citizenship is required as only U.S. Citizens are eligible for a clearance. Qualifications We Prefer Experience with system integration, verification and test of complex missile systems. Experience with planning and conducting integration and test events such as flight test missions. Earned Value Certification. Test Architect Certification. Ability to collaborate with other engineering disciplines, Quality, Reliability, and program management. Strong communication and leadership skills for coordinating across internal and external stakeholders. 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 Eligibility- Relocation assistance is available. 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. This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA), 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: MA Locations: Raytheon Andover, MA Location We Are RTX 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 132,400 USD - 251,600 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
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
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).
Got the Government Contractor Blues? Looking for a company that cares and goes beyond just filling another contract billet? Well, look no further! Experience this family-oriented company that takes pride in you and will help you grow where your passions lie. Holding many Defense & Federal government contracts around the globe, with Systems Plus you have the opportunity to take on new and evolving challenges, aim beyond what you think you are capable of, and work in collaborative, dynamic, and high-tempo environments. Our employees are our most valued asset and we invest in our people because we are in it for the long term. We are committed to your success and well-being and offer competitive benefits packages, salaries, bonus/award programs, and a high potential for professional growth and job opportunities worldwide. Systems Plus is the company for you! Experience the difference and let's talk about your future at Systems Plus today. Position Title IT Service Desk Specialist - Level II Position Type Full Time, Onsite Position Location Fort Meade, MD Job Duties: Serve as the primary point of contact for customer engagement, delivering real-time responses to inquiries through multiple channels including telephone support, in-person assistance, and live chat services. Monitor and triage tickets (incidents, cases, and requests) that have been assigned to the site (e.g., routed from the DHA GSC or initiated by local users). Answer questions, analyze problems and provide technical assistance. Direct calls that do not belong to the site back to Tier 1 (i.e., GSC, base/post/installation local support). Monitor and track the IT Service Desk queue and complete work orders within the applicable MTF knowledge base article processes. Provide hardware support including but not limited to on-site touch-labor, troubleshooting, integration, configuration, and installation of authorized hardware, software, and peripherals. Assist with all required equipment staging, burn-in, installation, testing and documentation. This shall include setup of systems, and integration testing and/or troubleshooting for all Government equipment or devices approved for use in network/systems areas supported at DHA site locations. Support end user service requests for computer software installation as needed. Service requests may be via the DHA ticketing system or via walk-in customer support. Maintain workstation/laptop operational baselines and cybersecurity compliance through established processes and procedures that include situational or periodic risk reviews to meet current Enterprise standards. Provide desk-side and remote user assistance to resolve software and hardware problems that cannot be resolved remotely by the DHA GSC or other DHA Enterprise Support Teams. The main categories of desk-side support are LAN, WAN, wireless LAN, software, hardware, network, administrative, and special projects as approved by the Government and as directed by other DHA enterprise support elements. Support local assets, new technology acquisition, and life cycle management for desktops, laptops, tablets, printers, VTC, mobile devices, and other IT hardware through DHA Life-Cycle-Management (LCM). Supports inventory management, and Defense Reutilization Marketing Office (DRMO) disposal IAW established guidance of site. Deploy end-user system images to new workstations/laptops per DHA approved imaging practices. Support system administrator functions. Other duties as assigned. Required Years of Experience (min) Four (4)+ years of experience demonstrating the required proficiency. Required Degree Bachelor's degree and/or equivalency Required Certification IAT I and CE: Associate About Systems Plus Systems Plus is headquartered in Rockville, MD with over 2 decades of experience providing Global Enterprise Management, Technology, Engineering and Professional services and solutions across Defense and Federal Civilian government sectors. From Discovery to Delivery, Systems Plus brings a greater measure of confidence, commitment and value to our clients. With various Defense and Federal contracts across the United States, Europe and Pacific/Asia, we are driving innovation and excellence within the Special Operations Forces Components and Commands, Defense Health Agency, United States Air Force, United States Marine Corps, National Institute of Standards and Technology, House of Representatives and more. Through our diverse portfolio of clients and capabilities we power vision and insight-discover what's possible with a Small Business that thinks BIG! Interested? Click Apply Now!
04/15/2026
Full time
Got the Government Contractor Blues? Looking for a company that cares and goes beyond just filling another contract billet? Well, look no further! Experience this family-oriented company that takes pride in you and will help you grow where your passions lie. Holding many Defense & Federal government contracts around the globe, with Systems Plus you have the opportunity to take on new and evolving challenges, aim beyond what you think you are capable of, and work in collaborative, dynamic, and high-tempo environments. Our employees are our most valued asset and we invest in our people because we are in it for the long term. We are committed to your success and well-being and offer competitive benefits packages, salaries, bonus/award programs, and a high potential for professional growth and job opportunities worldwide. Systems Plus is the company for you! Experience the difference and let's talk about your future at Systems Plus today. Position Title IT Service Desk Specialist - Level II Position Type Full Time, Onsite Position Location Fort Meade, MD Job Duties: Serve as the primary point of contact for customer engagement, delivering real-time responses to inquiries through multiple channels including telephone support, in-person assistance, and live chat services. Monitor and triage tickets (incidents, cases, and requests) that have been assigned to the site (e.g., routed from the DHA GSC or initiated by local users). Answer questions, analyze problems and provide technical assistance. Direct calls that do not belong to the site back to Tier 1 (i.e., GSC, base/post/installation local support). Monitor and track the IT Service Desk queue and complete work orders within the applicable MTF knowledge base article processes. Provide hardware support including but not limited to on-site touch-labor, troubleshooting, integration, configuration, and installation of authorized hardware, software, and peripherals. Assist with all required equipment staging, burn-in, installation, testing and documentation. This shall include setup of systems, and integration testing and/or troubleshooting for all Government equipment or devices approved for use in network/systems areas supported at DHA site locations. Support end user service requests for computer software installation as needed. Service requests may be via the DHA ticketing system or via walk-in customer support. Maintain workstation/laptop operational baselines and cybersecurity compliance through established processes and procedures that include situational or periodic risk reviews to meet current Enterprise standards. Provide desk-side and remote user assistance to resolve software and hardware problems that cannot be resolved remotely by the DHA GSC or other DHA Enterprise Support Teams. The main categories of desk-side support are LAN, WAN, wireless LAN, software, hardware, network, administrative, and special projects as approved by the Government and as directed by other DHA enterprise support elements. Support local assets, new technology acquisition, and life cycle management for desktops, laptops, tablets, printers, VTC, mobile devices, and other IT hardware through DHA Life-Cycle-Management (LCM). Supports inventory management, and Defense Reutilization Marketing Office (DRMO) disposal IAW established guidance of site. Deploy end-user system images to new workstations/laptops per DHA approved imaging practices. Support system administrator functions. Other duties as assigned. Required Years of Experience (min) Four (4)+ years of experience demonstrating the required proficiency. Required Degree Bachelor's degree and/or equivalency Required Certification IAT I and CE: Associate About Systems Plus Systems Plus is headquartered in Rockville, MD with over 2 decades of experience providing Global Enterprise Management, Technology, Engineering and Professional services and solutions across Defense and Federal Civilian government sectors. From Discovery to Delivery, Systems Plus brings a greater measure of confidence, commitment and value to our clients. With various Defense and Federal contracts across the United States, Europe and Pacific/Asia, we are driving innovation and excellence within the Special Operations Forces Components and Commands, Defense Health Agency, United States Air Force, United States Marine Corps, National Institute of Standards and Technology, House of Representatives and more. Through our diverse portfolio of clients and capabilities we power vision and insight-discover what's possible with a Small Business that thinks BIG! Interested? Click Apply Now!
Got the Government Contractor Blues? Looking for a company that cares and goes beyond just filling another contract billet? Well, look no further! Experience this family-oriented company that takes pride in you and will help you grow where your passions lie. Holding many Defense & Federal government contracts around the globe, with Systems Plus, you have the opportunity to take on new and evolving challenges, aim beyond what you think you are capable of, and work in collaborative, dynamic, and high-tempo environments. Our employees are our most valued asset, and we invest in our people because we are in it for the long term. We are committed to your success and well-being and offer competitive benefits packages, salaries, bonus/award programs, and a high potential for professional growth and job opportunities worldwide. Systems Plus is the company for you! Experience the difference, and let's talk about your future at Systems Plus today. Position Title System Administrator - Level III Position Type Full Time, Onsite Position Location Fort Meade, MD Daily Responsibilities Ensure there are processes in place to allow for regular and frequent communication with the GSC to allow for queue management, including resolution and closure of Tier 2 tickets, and escalation of tickets outside of Tier 2 based on evaluation and triage, as necessary. Professionally communicate with customers while being able to breakdown technical information for customers to understand Escalate complex technical issues to appropriate MHS-SHD assignment group Adhering to standard best practices to support configuration management using the DHA asset management system Defense Medical Logistics Standard Support (DMLSS) and MHS-SHD. Support formal configuration baselining processes as defined and managed by DHA Enterprise Configuration Managers for ensuring that hardware and software revisions are fully documented, to include functionality and interfaces with other systems/tools. As new releases of systems or other infrastructure changes are deployed, the Contractor shall assist with the establishment of new Configurable Items (CIs) and assist with providing for the complete traceability from one stage of production to the next. At the direction of the Government Task Manager, the Contractor shall use the Change Management (CM) module within the MHS-SHD to assist with the monitoring, maintenance, and enhancement efforts of CIs to ensure: All work product, to include systems, infrastructures, and services defined by the Government Task Manager as CIs and included in CMDB received or generated by a project or DHA Support Group or Agency are adequately documented, stored, and managed All changes and associated downtimes are documented and scheduled for release per local site requirements. Assist with all required equipment staging, burn-in, installation, testing and documentation. This shall include setup, systems, and integration testing and/or troubleshooting for all equipment purchased by or approved for use in network/systems areas supported at the Site and Support Locations. Provide oversight and management of administrative accounts within the DHA Site and Support Location's OUs within mJAD. Services shall include Joint Directory Services and electronic messaging, AD services, PKI, SharePoint, and Endpoint Monitoring (EM). EM services utilize DHA approved end point software for software updates, patching, and reporting capabilities. Managing local user security groups and Administering user accounts Creating, disabling, deleting, and moving user accounts Managing user entitlements in MED365 Verifying and reviewing System Authorization Access Request (see TO6 PWS Exhibit 4: DD Form 2875) Perform set up, systems and integration testing and troubleshooting for all equipment purchased by or approved for use in network or systems areas Provide oversight and guidance to lower-level teams to ensure DHA Enterprise policies and standards are met and systems work as designed May assist Government Task Manager with architecture and engineering recommendations and testing of infrastructure hardware and software products Provide Senior level independent thinking to resolve difficult local site IT tasks Provide on-site data center storage, back-up and data restoration, recovery, health, capacity planning, utilization monitoring, performance monitoring, disruptions, changes, service-level compliance, operational improvement, service reports, annual planning, annual evaluations, life cycle management, physical security controls, and archival records as per security requirements. Use available enterprise tools for server infrastructure planning, role-based access control implementation and sustainment, administration, boundary determination, client settings, software/hardware inventory, and software distribution, Provide systems and IT environment administration and management. Exercise database restores from database exports, dumps, backups, flat files, secondary databases, and disk-based snapshots. Implement, maintain and patch all physical and virtual servers as well as implement required STIGs once the OS is updated. Update and maintain the Site and Support Locations Knowledge Management through SOPs. Provide hardware support including but not limited to on-site touch-labor, troubleshooting, integration, configuration, and installation of authorized hardware, software, and peripherals. Maintain consistent database parameters and system settings across all like instances. Maintain database consistency in accordance with the established software development lifecycle. Open, track, and manage the resolution of database problems. Assist the Site and Support Locations with database management system version upgrades and migrations. Provide technical guidance, review, and assessments of current and future computer software and hardware IAW local Site and Support Locations requirements. Implement enhancements that will improve the reliability and performance of data center systems and infrastructure. Correct out-of-capacity situations caused by unusual activities (e.g., dataset or table space capacity events, full log files). Execute RBAC according to DHA enterprise policies. Lead Role that manages and mentor other Senior Systems Administrators. Deploy and sustain database management systems to accommodate the organization's business requirements. Administers day-to-day sustainment, integrity, security and availability of database management systems and hosted databases. Creates standard operating procedures, maintenance guides, and knowledge base articles to ensure proper documentation is established for the operational upkeep of the database management systems and hosted databases. Configure and maintain a secure, high-performance shared network infrastructure, adhering to industry best practices, to ensure seamless data exchange, consistent uptime, and optimal performance for critical business operations across participating organizations. Other duties as assigned. Required: Experience Six (6) years of progressive experience demonstrating the required proficiency. Required: Degree Bachelor's degree and/or equivalency. Required: Certification IAT II and CE About Systems Plus Systems Plus is headquartered in Rockville, MD with over 2 decades of experience providing Global Enterprise Management, Technology, Engineering and Professional services and solutions across Defense and Federal Civilian government sectors. From Discovery to Delivery, Systems Plus brings a greater measure of confidence, commitment and value to our clients. With various Defense and Federal contracts across the United States, Europe and Pacific/Asia, we are driving innovation and excellence within the Special Operations Forces Components and Commands, Defense Health Agency, United States Air Force, United States Marine Corps, National Institute of Standards and Technology, House of Representatives and more. Through our diverse portfolio of clients and capabilities we power vision and insight-discover what's possible with a Small Business that thinks BIG! Interested? Click Apply Now!
04/15/2026
Full time
Got the Government Contractor Blues? Looking for a company that cares and goes beyond just filling another contract billet? Well, look no further! Experience this family-oriented company that takes pride in you and will help you grow where your passions lie. Holding many Defense & Federal government contracts around the globe, with Systems Plus, you have the opportunity to take on new and evolving challenges, aim beyond what you think you are capable of, and work in collaborative, dynamic, and high-tempo environments. Our employees are our most valued asset, and we invest in our people because we are in it for the long term. We are committed to your success and well-being and offer competitive benefits packages, salaries, bonus/award programs, and a high potential for professional growth and job opportunities worldwide. Systems Plus is the company for you! Experience the difference, and let's talk about your future at Systems Plus today. Position Title System Administrator - Level III Position Type Full Time, Onsite Position Location Fort Meade, MD Daily Responsibilities Ensure there are processes in place to allow for regular and frequent communication with the GSC to allow for queue management, including resolution and closure of Tier 2 tickets, and escalation of tickets outside of Tier 2 based on evaluation and triage, as necessary. Professionally communicate with customers while being able to breakdown technical information for customers to understand Escalate complex technical issues to appropriate MHS-SHD assignment group Adhering to standard best practices to support configuration management using the DHA asset management system Defense Medical Logistics Standard Support (DMLSS) and MHS-SHD. Support formal configuration baselining processes as defined and managed by DHA Enterprise Configuration Managers for ensuring that hardware and software revisions are fully documented, to include functionality and interfaces with other systems/tools. As new releases of systems or other infrastructure changes are deployed, the Contractor shall assist with the establishment of new Configurable Items (CIs) and assist with providing for the complete traceability from one stage of production to the next. At the direction of the Government Task Manager, the Contractor shall use the Change Management (CM) module within the MHS-SHD to assist with the monitoring, maintenance, and enhancement efforts of CIs to ensure: All work product, to include systems, infrastructures, and services defined by the Government Task Manager as CIs and included in CMDB received or generated by a project or DHA Support Group or Agency are adequately documented, stored, and managed All changes and associated downtimes are documented and scheduled for release per local site requirements. Assist with all required equipment staging, burn-in, installation, testing and documentation. This shall include setup, systems, and integration testing and/or troubleshooting for all equipment purchased by or approved for use in network/systems areas supported at the Site and Support Locations. Provide oversight and management of administrative accounts within the DHA Site and Support Location's OUs within mJAD. Services shall include Joint Directory Services and electronic messaging, AD services, PKI, SharePoint, and Endpoint Monitoring (EM). EM services utilize DHA approved end point software for software updates, patching, and reporting capabilities. Managing local user security groups and Administering user accounts Creating, disabling, deleting, and moving user accounts Managing user entitlements in MED365 Verifying and reviewing System Authorization Access Request (see TO6 PWS Exhibit 4: DD Form 2875) Perform set up, systems and integration testing and troubleshooting for all equipment purchased by or approved for use in network or systems areas Provide oversight and guidance to lower-level teams to ensure DHA Enterprise policies and standards are met and systems work as designed May assist Government Task Manager with architecture and engineering recommendations and testing of infrastructure hardware and software products Provide Senior level independent thinking to resolve difficult local site IT tasks Provide on-site data center storage, back-up and data restoration, recovery, health, capacity planning, utilization monitoring, performance monitoring, disruptions, changes, service-level compliance, operational improvement, service reports, annual planning, annual evaluations, life cycle management, physical security controls, and archival records as per security requirements. Use available enterprise tools for server infrastructure planning, role-based access control implementation and sustainment, administration, boundary determination, client settings, software/hardware inventory, and software distribution, Provide systems and IT environment administration and management. Exercise database restores from database exports, dumps, backups, flat files, secondary databases, and disk-based snapshots. Implement, maintain and patch all physical and virtual servers as well as implement required STIGs once the OS is updated. Update and maintain the Site and Support Locations Knowledge Management through SOPs. Provide hardware support including but not limited to on-site touch-labor, troubleshooting, integration, configuration, and installation of authorized hardware, software, and peripherals. Maintain consistent database parameters and system settings across all like instances. Maintain database consistency in accordance with the established software development lifecycle. Open, track, and manage the resolution of database problems. Assist the Site and Support Locations with database management system version upgrades and migrations. Provide technical guidance, review, and assessments of current and future computer software and hardware IAW local Site and Support Locations requirements. Implement enhancements that will improve the reliability and performance of data center systems and infrastructure. Correct out-of-capacity situations caused by unusual activities (e.g., dataset or table space capacity events, full log files). Execute RBAC according to DHA enterprise policies. Lead Role that manages and mentor other Senior Systems Administrators. Deploy and sustain database management systems to accommodate the organization's business requirements. Administers day-to-day sustainment, integrity, security and availability of database management systems and hosted databases. Creates standard operating procedures, maintenance guides, and knowledge base articles to ensure proper documentation is established for the operational upkeep of the database management systems and hosted databases. Configure and maintain a secure, high-performance shared network infrastructure, adhering to industry best practices, to ensure seamless data exchange, consistent uptime, and optimal performance for critical business operations across participating organizations. Other duties as assigned. Required: Experience Six (6) years of progressive experience demonstrating the required proficiency. Required: Degree Bachelor's degree and/or equivalency. Required: Certification IAT II and CE About Systems Plus Systems Plus is headquartered in Rockville, MD with over 2 decades of experience providing Global Enterprise Management, Technology, Engineering and Professional services and solutions across Defense and Federal Civilian government sectors. From Discovery to Delivery, Systems Plus brings a greater measure of confidence, commitment and value to our clients. With various Defense and Federal contracts across the United States, Europe and Pacific/Asia, we are driving innovation and excellence within the Special Operations Forces Components and Commands, Defense Health Agency, United States Air Force, United States Marine Corps, National Institute of Standards and Technology, House of Representatives and more. Through our diverse portfolio of clients and capabilities we power vision and insight-discover what's possible with a Small Business that thinks BIG! Interested? Click Apply Now!
Got the Government Contractor Blues? Looking for a company that cares and goes beyond just filling another contract billet? Well, look no further! Experience this family-oriented company that takes pride in you and will help you grow where your passions lie. Holding many Defense & Federal government contracts around the globe, with Systems Plus you have the opportunity to take on new and evolving challenges, aim beyond what you think you are capable of, and work in collaborative, dynamic, and high-tempo environments. Our employees are our most valued asset and we invest in our people because we are in it for the long term. We are committed to your success and well-being and offer competitive benefits packages, salaries, bonus/award programs, and a high potential for professional growth and job opportunities worldwide. Systems Plus is the company for you! Experience the difference and let's talk about your future at Systems Plus today. Position Title System Administrator - Level III (1853) - LOVELL Position Type Full Time Position Location Chicago, IL, onsite Job Duties Provide system support by installing and upgrading hardware and software, troubleshooting and resolving issues; serve as a knowledge expert; collaborate with IT customers; and perform system backups and restoration in accordance with FIPS or other DoW or federal requirements. Administer day-to-day sustainment, integrity, security, and availability of infrastructure platforms; maintain systems through customization, configuration, installation, and testing; test approved desktop images; and validate that all site components are operational with no negative impacts. Provide support for management enterprise tools, and maintain, configure, and ensure security compliance of computer systems, servers, and virtual environments while documenting and resolving incidents in timely manner. Create operating procedures, maintenance guides, and knowledge base articles. Manage local user accounts and security groups, and administer user access and entitlements within enterprise systems while ensuring compliance with security and identity management procedures. Assist with configuration baseline management and documentation to ensure system components, interfaces, and revisions are properly tracked throughout the lifecycle. Support equipment staging, installation, testing, and integration while ensuring system configurations comply with enterprise configuration management requirements. Support identity and desktop management activities by coordinating with the Global Service Center (GSC) to manage ticket queues, resolve Tier 2 issues, and escalate complex problems as required. Communicate technical issues and solutions clearly to customers to ensure effective resolution of access or system issues while escalate complex technical issues to appropriate enterprise support teams Support data center infrastructure and operations including system capacity monitoring, assessment, backup and recovery activities, performance monitoring, and lifecycle management of infrastructure systems. Maintain and administer physical and virtual servers, applying required patches, security updates, and configuration standards to ensure system stability and compliance. Required Years of Experience (min) Four (4) years of experience demonstrating the required proficiency. Required Degree Bachelor's degree and/or equivalency. Required Certification Certifications: IAT II and CE: Associate Level Required Clearance Ability to obtain and maintain a Tier 3 security clearance About Systems Plus Systems Plus is headquartered in Rockville, MD with over 2 decades of experience providing Global Enterprise Management, Technology, Engineering and Professional services and solutions across Defense and Federal Civilian government sectors. From Discovery to Delivery, Systems Plus brings a greater measure of confidence, commitment and value to our clients. With various Defense and Federal contracts across the United States, Europe and Pacific/Asia, we are driving innovation and excellence within the Special Operations Forces Components and Commands, Defense Health Agency, United States Air Force, United States Marine Corps, National Institute of Standards and Technology, House of Representatives and more. Through our diverse portfolio of clients and capabilities we power vision and insight - discover what's possible with a Small Business that thinks BIG! Interested? Click Apply Now!
04/15/2026
Full time
Got the Government Contractor Blues? Looking for a company that cares and goes beyond just filling another contract billet? Well, look no further! Experience this family-oriented company that takes pride in you and will help you grow where your passions lie. Holding many Defense & Federal government contracts around the globe, with Systems Plus you have the opportunity to take on new and evolving challenges, aim beyond what you think you are capable of, and work in collaborative, dynamic, and high-tempo environments. Our employees are our most valued asset and we invest in our people because we are in it for the long term. We are committed to your success and well-being and offer competitive benefits packages, salaries, bonus/award programs, and a high potential for professional growth and job opportunities worldwide. Systems Plus is the company for you! Experience the difference and let's talk about your future at Systems Plus today. Position Title System Administrator - Level III (1853) - LOVELL Position Type Full Time Position Location Chicago, IL, onsite Job Duties Provide system support by installing and upgrading hardware and software, troubleshooting and resolving issues; serve as a knowledge expert; collaborate with IT customers; and perform system backups and restoration in accordance with FIPS or other DoW or federal requirements. Administer day-to-day sustainment, integrity, security, and availability of infrastructure platforms; maintain systems through customization, configuration, installation, and testing; test approved desktop images; and validate that all site components are operational with no negative impacts. Provide support for management enterprise tools, and maintain, configure, and ensure security compliance of computer systems, servers, and virtual environments while documenting and resolving incidents in timely manner. Create operating procedures, maintenance guides, and knowledge base articles. Manage local user accounts and security groups, and administer user access and entitlements within enterprise systems while ensuring compliance with security and identity management procedures. Assist with configuration baseline management and documentation to ensure system components, interfaces, and revisions are properly tracked throughout the lifecycle. Support equipment staging, installation, testing, and integration while ensuring system configurations comply with enterprise configuration management requirements. Support identity and desktop management activities by coordinating with the Global Service Center (GSC) to manage ticket queues, resolve Tier 2 issues, and escalate complex problems as required. Communicate technical issues and solutions clearly to customers to ensure effective resolution of access or system issues while escalate complex technical issues to appropriate enterprise support teams Support data center infrastructure and operations including system capacity monitoring, assessment, backup and recovery activities, performance monitoring, and lifecycle management of infrastructure systems. Maintain and administer physical and virtual servers, applying required patches, security updates, and configuration standards to ensure system stability and compliance. Required Years of Experience (min) Four (4) years of experience demonstrating the required proficiency. Required Degree Bachelor's degree and/or equivalency. Required Certification Certifications: IAT II and CE: Associate Level Required Clearance Ability to obtain and maintain a Tier 3 security clearance About Systems Plus Systems Plus is headquartered in Rockville, MD with over 2 decades of experience providing Global Enterprise Management, Technology, Engineering and Professional services and solutions across Defense and Federal Civilian government sectors. From Discovery to Delivery, Systems Plus brings a greater measure of confidence, commitment and value to our clients. With various Defense and Federal contracts across the United States, Europe and Pacific/Asia, we are driving innovation and excellence within the Special Operations Forces Components and Commands, Defense Health Agency, United States Air Force, United States Marine Corps, National Institute of Standards and Technology, House of Representatives and more. Through our diverse portfolio of clients and capabilities we power vision and insight - discover what's possible with a Small Business that thinks BIG! Interested? Click Apply Now!
Got the Government Contractor Blues? Looking for a company that cares and goes beyond just filling another contract billet? Well, look no further! Experience this family-oriented company that takes pride in you and will help you grow where your passions lie. Holding many Defense & Federal government contracts around the globe, with Systems Plus you have the opportunity to take on new and evolving challenges, aim beyond what you think you are capable of, and work in collaborative, dynamic, and high-tempo environments. Our employees are our most valued asset and we invest in our people because we are in it for the long term. We are committed to your success and well-being and offer competitive benefits packages, salaries, bonus/award programs, and a high potential for professional growth and job opportunities worldwide. Systems Plus is the company for you! Experience the difference and let's talk about your future at Systems Plus today. Position Title Information Assurance/Security Specialist - Level II Position Type Full Time Position Location Charleston, SC (onsite) Daily Responsibilities Serve as an Information System Security Officer (ISSO) for designated systems, ensuring compliance with DoD cybersecurity policies and RMF requirements. Prepare and deliver monthly security vulnerability tracking reports detailing system vulnerabilities, remediation progress, and vulnerability mitigation status. Track vulnerability remediation efforts including IAVM patch implementation and configuration compliance activities across supported systems. Lead security incident investigations and cybersecurity compliance activities including vulnerability scanning, STIG compliance documentation, and security assessments for site systems, and coordinate efforts with security teams and system administrators to address vulnerabilities and risks. Develop and maintain system security plans, security controls, and associated documentation supporting system authorization and accreditation activities. Provide security briefings, risk assessments, and mitigation recommendations to stakeholders and leadership. Required Experience Minimum 4 years of progressive experience Required Degree Bachelor's degree and/or equivalency. Required Certification IAT III, IAM III and CE: Associate Level Required Clearance Ability to obtain and maintain a Tier 3 security clearance About Systems Plus Systems Plus is headquartered in Rockville, MD with over 2 decades of experience providing Global Enterprise Management, Technology, Engineering and Professional services and solutions across Defense and Federal Civilian government sectors. From Discovery to Delivery, Systems Plus brings a greater measure of confidence, commitment and value to our clients. With various Defense and Federal contracts across the United States, Europe and Pacific/Asia, we are driving innovation and excellence within the Special Operations Forces Components and Commands, Defense Health Agency, United States Air Force, United States Marine Corps, National Institute of Standards and Technology, House of Representatives and more. Through our diverse portfolio of clients and capabilities we power vision and insight - discover what's possible with a Small Business that thinks BIG! Interested? Click Apply Now!
04/15/2026
Full time
Got the Government Contractor Blues? Looking for a company that cares and goes beyond just filling another contract billet? Well, look no further! Experience this family-oriented company that takes pride in you and will help you grow where your passions lie. Holding many Defense & Federal government contracts around the globe, with Systems Plus you have the opportunity to take on new and evolving challenges, aim beyond what you think you are capable of, and work in collaborative, dynamic, and high-tempo environments. Our employees are our most valued asset and we invest in our people because we are in it for the long term. We are committed to your success and well-being and offer competitive benefits packages, salaries, bonus/award programs, and a high potential for professional growth and job opportunities worldwide. Systems Plus is the company for you! Experience the difference and let's talk about your future at Systems Plus today. Position Title Information Assurance/Security Specialist - Level II Position Type Full Time Position Location Charleston, SC (onsite) Daily Responsibilities Serve as an Information System Security Officer (ISSO) for designated systems, ensuring compliance with DoD cybersecurity policies and RMF requirements. Prepare and deliver monthly security vulnerability tracking reports detailing system vulnerabilities, remediation progress, and vulnerability mitigation status. Track vulnerability remediation efforts including IAVM patch implementation and configuration compliance activities across supported systems. Lead security incident investigations and cybersecurity compliance activities including vulnerability scanning, STIG compliance documentation, and security assessments for site systems, and coordinate efforts with security teams and system administrators to address vulnerabilities and risks. Develop and maintain system security plans, security controls, and associated documentation supporting system authorization and accreditation activities. Provide security briefings, risk assessments, and mitigation recommendations to stakeholders and leadership. Required Experience Minimum 4 years of progressive experience Required Degree Bachelor's degree and/or equivalency. Required Certification IAT III, IAM III and CE: Associate Level Required Clearance Ability to obtain and maintain a Tier 3 security clearance About Systems Plus Systems Plus is headquartered in Rockville, MD with over 2 decades of experience providing Global Enterprise Management, Technology, Engineering and Professional services and solutions across Defense and Federal Civilian government sectors. From Discovery to Delivery, Systems Plus brings a greater measure of confidence, commitment and value to our clients. With various Defense and Federal contracts across the United States, Europe and Pacific/Asia, we are driving innovation and excellence within the Special Operations Forces Components and Commands, Defense Health Agency, United States Air Force, United States Marine Corps, National Institute of Standards and Technology, House of Representatives and more. Through our diverse portfolio of clients and capabilities we power vision and insight - discover what's possible with a Small Business that thinks BIG! Interested? Click Apply Now!
