Schedule: Full time Below covers everything you need to know about what this opportunity entails, as well as what is expected from applicants. Availability: Morning, Afternoon, Evening (Includes Weekends). Age Requirement: Must be 18 years or older Location: McLean, VA Address: 1835 Capital One Drive South Pay: $22.75 - $23.50 Job Posting: 05/11/2026 Job Posting End: 05/25/2026 Job ID: R EARN A BONUS UP TO $1,500! Hiring immediately! In this role, you will lead the eCommerce team that provides incredible knowledge-based service, makes meals and party planning easy, and accurately and efficiently fulfills eCommerce orders containing a variety of our great-tasting products. Partnering with various departments around the store, you will ensure efficient eCommerce operations and seamless and positive pickup and delivery experiences for our customers. What will I do? Manage and develop a team of employees, engage in meaningful conversations, build trusted relationships, and provide the resources, feedback, and development opportunities they need to be successful Foster incredible knowledge-based service by creating excitement around new programs , meal and party planning solutions and products, identifying and implementing ways to build positive customer relationships and improving the shopping experience Manage all department operations including efficiency, ordering, inventory, handling product or vendor related concerns, ensuring sales, contribution, diversity, development, and retention goals are met and using financial analysis, experience and knowledge to make decisions that increase profitability and control expenses Ensure the freshest, highest quality products are available , use knowledge of product, benchmarking, and trends to collaborate with other departments to align with merchandising standards, seasonal plans, company priorities Ensure the team properly uses equipment and handles products, keeps accurate logs, follows department job aids, food safety, human safety, 5S guidelines, and complies with Wegmans Policies, federal and state laws Educate customers and employees about eCommerce products and services that include grocery, meal and party planning solutions Oversee total department operations, ensuring internal programs are executed, important information is communicated, expenses are controlled , and resources are appropriately allocate d Maintain consistency of operations; champion eCommerce business, troubleshoot and resolve concerns; build relationships throughout the store; effectively communicate goals and expectations Require d Qualifications : 2 or more years of experience interviewing, performance management, employee development and managing financials Passion for food and people ; enthusiasm and knowledge for relevant product s and services Systems aptitude ; familiarity and comfortability with technology (web, mobile, etc.) Preferred Qualifications Experience overseeing the daily operations of a large team and/or a multi-area department Experience with a fulfillment operations Ability to quickly learn and adapt to new situations and subject matters At Wegmans, we've always believed we can achieve our goals only if we first fulfill the needs of our people. Putting our people first and offering competitive compensation, comprehensive benefits and a wide range of meaningful perks is just the beginning of what defines a rewarding career at Wegmans. Comprehensive benefits Paid time off (PTO) to help you balance your personal and work life Higher premium pay rates for working overtime, on Sundays, or on a recognized holiday Health care benefits that provide a high level of coverage at a low cost to you Retirement plan with a 401(k) match A generous scholarship program to help employees meet their educational goals LiveWell Employee & Family program to support your emotional, work-life and financial wellness Our employees have put us high on Fortune 100 Best Companies to Work For list every year since it was first produced in 1998. Discover what it means to work for a mission-driven, values-based company where YOU make the difference. Certain eligibility requirements must be satisfied, and offerings may differ based upon area or the company and/or position. + At Wegmans, we've always believed we can achieve our goals only if we first fulfill the needs of our people. Putting our people first and offering competitive compensation, comprehensive benefits and a wide range of meaningful perks is just the beginning of what defines a rewarding career at Wegmans. Comprehensive benefits Paid time off (PTO) to help you balance your personal and work life Higher premium pay rates for working overtime, on Sundays, or on a recognized holiday Health care benefits that provide a high level of coverage at a low cost to you Retirement plan with a 401(k) match A generous scholarship program to help employees meet their educational goals LiveWell Employee & Family program to support your emotional, work-life and financial wellness Our employees have put us high on Fortune 100 Best Companies to Work For list every year since it was first produced in 1998. Discover what it means to work for a mission-driven, values-based company where YOU make the difference. xibtplm Certain eligibility requirements must be satisfied, and offerings may differ based upon area or the company and/or position.
05/26/2026
Full time
Schedule: Full time Below covers everything you need to know about what this opportunity entails, as well as what is expected from applicants. Availability: Morning, Afternoon, Evening (Includes Weekends). Age Requirement: Must be 18 years or older Location: McLean, VA Address: 1835 Capital One Drive South Pay: $22.75 - $23.50 Job Posting: 05/11/2026 Job Posting End: 05/25/2026 Job ID: R EARN A BONUS UP TO $1,500! Hiring immediately! In this role, you will lead the eCommerce team that provides incredible knowledge-based service, makes meals and party planning easy, and accurately and efficiently fulfills eCommerce orders containing a variety of our great-tasting products. Partnering with various departments around the store, you will ensure efficient eCommerce operations and seamless and positive pickup and delivery experiences for our customers. What will I do? Manage and develop a team of employees, engage in meaningful conversations, build trusted relationships, and provide the resources, feedback, and development opportunities they need to be successful Foster incredible knowledge-based service by creating excitement around new programs , meal and party planning solutions and products, identifying and implementing ways to build positive customer relationships and improving the shopping experience Manage all department operations including efficiency, ordering, inventory, handling product or vendor related concerns, ensuring sales, contribution, diversity, development, and retention goals are met and using financial analysis, experience and knowledge to make decisions that increase profitability and control expenses Ensure the freshest, highest quality products are available , use knowledge of product, benchmarking, and trends to collaborate with other departments to align with merchandising standards, seasonal plans, company priorities Ensure the team properly uses equipment and handles products, keeps accurate logs, follows department job aids, food safety, human safety, 5S guidelines, and complies with Wegmans Policies, federal and state laws Educate customers and employees about eCommerce products and services that include grocery, meal and party planning solutions Oversee total department operations, ensuring internal programs are executed, important information is communicated, expenses are controlled , and resources are appropriately allocate d Maintain consistency of operations; champion eCommerce business, troubleshoot and resolve concerns; build relationships throughout the store; effectively communicate goals and expectations Require d Qualifications : 2 or more years of experience interviewing, performance management, employee development and managing financials Passion for food and people ; enthusiasm and knowledge for relevant product s and services Systems aptitude ; familiarity and comfortability with technology (web, mobile, etc.) Preferred Qualifications Experience overseeing the daily operations of a large team and/or a multi-area department Experience with a fulfillment operations Ability to quickly learn and adapt to new situations and subject matters At Wegmans, we've always believed we can achieve our goals only if we first fulfill the needs of our people. Putting our people first and offering competitive compensation, comprehensive benefits and a wide range of meaningful perks is just the beginning of what defines a rewarding career at Wegmans. Comprehensive benefits Paid time off (PTO) to help you balance your personal and work life Higher premium pay rates for working overtime, on Sundays, or on a recognized holiday Health care benefits that provide a high level of coverage at a low cost to you Retirement plan with a 401(k) match A generous scholarship program to help employees meet their educational goals LiveWell Employee & Family program to support your emotional, work-life and financial wellness Our employees have put us high on Fortune 100 Best Companies to Work For list every year since it was first produced in 1998. Discover what it means to work for a mission-driven, values-based company where YOU make the difference. Certain eligibility requirements must be satisfied, and offerings may differ based upon area or the company and/or position. + At Wegmans, we've always believed we can achieve our goals only if we first fulfill the needs of our people. Putting our people first and offering competitive compensation, comprehensive benefits and a wide range of meaningful perks is just the beginning of what defines a rewarding career at Wegmans. Comprehensive benefits Paid time off (PTO) to help you balance your personal and work life Higher premium pay rates for working overtime, on Sundays, or on a recognized holiday Health care benefits that provide a high level of coverage at a low cost to you Retirement plan with a 401(k) match A generous scholarship program to help employees meet their educational goals LiveWell Employee & Family program to support your emotional, work-life and financial wellness Our employees have put us high on Fortune 100 Best Companies to Work For list every year since it was first produced in 1998. Discover what it means to work for a mission-driven, values-based company where YOU make the difference. xibtplm Certain eligibility requirements must be satisfied, and offerings may differ based upon area or the company and/or position.
Schedule: Full time Below covers everything you need to know about what this opportunity entails, as well as what is expected from applicants. Availability: Morning, Afternoon, Evening (Includes Weekends). Age Requirement: Must be 18 years or older Location: McLean, VA Address: 1835 Capital One Drive South Pay: $22.75 - $23.50 Job Posting: 05/11/2026 Job Posting End: 05/25/2026 Job ID: R EARN A BONUS UP TO $1,500! Hiring immediately! In this role, you will lead the eCommerce team that provides incredible knowledge-based service, makes meals and party planning easy, and accurately and efficiently fulfills eCommerce orders containing a variety of our great-tasting products. Partnering with various departments around the store, you will ensure efficient eCommerce operations and seamless and positive pickup and delivery experiences for our customers. What will I do? Manage and develop a team of employees, engage in meaningful conversations, build trusted relationships, and provide the resources, feedback, and development opportunities they need to be successful Foster incredible knowledge-based service by creating excitement around new programs , meal and party planning solutions and products, identifying and implementing ways to build positive customer relationships and improving the shopping experience Manage all department operations including efficiency, ordering, inventory, handling product or vendor related concerns, ensuring sales, contribution, diversity, development, and retention goals are met and using financial analysis, experience and knowledge to make decisions that increase profitability and control expenses Ensure the freshest, highest quality products are available , use knowledge of product, benchmarking, and trends to collaborate with other departments to align with merchandising standards, seasonal plans, company priorities Ensure the team properly uses equipment and handles products, keeps accurate logs, follows department job aids, food safety, human safety, 5S guidelines, and complies with Wegmans Policies, federal and state laws Educate customers and employees about eCommerce products and services that include grocery, meal and party planning solutions Oversee total department operations, ensuring internal programs are executed, important information is communicated, expenses are controlled , and resources are appropriately allocate d Maintain consistency of operations; champion eCommerce business, troubleshoot and resolve concerns; build relationships throughout the store; effectively communicate goals and expectations Require d Qualifications : 2 or more years of experience interviewing, performance management, employee development and managing financials Passion for food and people ; enthusiasm and knowledge for relevant product s and services Systems aptitude ; familiarity and comfortability with technology (web, mobile, etc.) Preferred Qualifications Experience overseeing the daily operations of a large team and/or a multi-area department Experience with a fulfillment operations Ability to quickly learn and adapt to new situations and subject matters At Wegmans, we've always believed we can achieve our goals only if we first fulfill the needs of our people. Putting our people first and offering competitive compensation, comprehensive benefits and a wide range of meaningful perks is just the beginning of what defines a rewarding career at Wegmans. Comprehensive benefits Paid time off (PTO) to help you balance your personal and work life Higher premium pay rates for working overtime, on Sundays, or on a recognized holiday Health care benefits that provide a high level of coverage at a low cost to you Retirement plan with a 401(k) match A generous scholarship program to help employees meet their educational goals LiveWell Employee & Family program to support your emotional, work-life and financial wellness Our employees have put us high on Fortune 100 Best Companies to Work For list every year since it was first produced in 1998. Discover what it means to work for a mission-driven, values-based company where YOU make the difference. Certain eligibility requirements must be satisfied, and offerings may differ based upon area or the company and/or position. + At Wegmans, we've always believed we can achieve our goals only if we first fulfill the needs of our people. Putting our people first and offering competitive compensation, comprehensive benefits and a wide range of meaningful perks is just the beginning of what defines a rewarding career at Wegmans. Comprehensive benefits Paid time off (PTO) to help you balance your personal and work life Higher premium pay rates for working overtime, on Sundays, or on a recognized holiday Health care benefits that provide a high level of coverage at a low cost to you Retirement plan with a 401(k) match A generous scholarship program to help employees meet their educational goals LiveWell Employee & Family program to support your emotional, work-life and financial wellness Our employees have put us high on Fortune 100 Best Companies to Work For list every year since it was first produced in 1998. Discover what it means to work for a mission-driven, values-based company where YOU make the difference. xibtplm Certain eligibility requirements must be satisfied, and offerings may differ based upon area or the company and/or position.
05/26/2026
Full time
Schedule: Full time Below covers everything you need to know about what this opportunity entails, as well as what is expected from applicants. Availability: Morning, Afternoon, Evening (Includes Weekends). Age Requirement: Must be 18 years or older Location: McLean, VA Address: 1835 Capital One Drive South Pay: $22.75 - $23.50 Job Posting: 05/11/2026 Job Posting End: 05/25/2026 Job ID: R EARN A BONUS UP TO $1,500! Hiring immediately! In this role, you will lead the eCommerce team that provides incredible knowledge-based service, makes meals and party planning easy, and accurately and efficiently fulfills eCommerce orders containing a variety of our great-tasting products. Partnering with various departments around the store, you will ensure efficient eCommerce operations and seamless and positive pickup and delivery experiences for our customers. What will I do? Manage and develop a team of employees, engage in meaningful conversations, build trusted relationships, and provide the resources, feedback, and development opportunities they need to be successful Foster incredible knowledge-based service by creating excitement around new programs , meal and party planning solutions and products, identifying and implementing ways to build positive customer relationships and improving the shopping experience Manage all department operations including efficiency, ordering, inventory, handling product or vendor related concerns, ensuring sales, contribution, diversity, development, and retention goals are met and using financial analysis, experience and knowledge to make decisions that increase profitability and control expenses Ensure the freshest, highest quality products are available , use knowledge of product, benchmarking, and trends to collaborate with other departments to align with merchandising standards, seasonal plans, company priorities Ensure the team properly uses equipment and handles products, keeps accurate logs, follows department job aids, food safety, human safety, 5S guidelines, and complies with Wegmans Policies, federal and state laws Educate customers and employees about eCommerce products and services that include grocery, meal and party planning solutions Oversee total department operations, ensuring internal programs are executed, important information is communicated, expenses are controlled , and resources are appropriately allocate d Maintain consistency of operations; champion eCommerce business, troubleshoot and resolve concerns; build relationships throughout the store; effectively communicate goals and expectations Require d Qualifications : 2 or more years of experience interviewing, performance management, employee development and managing financials Passion for food and people ; enthusiasm and knowledge for relevant product s and services Systems aptitude ; familiarity and comfortability with technology (web, mobile, etc.) Preferred Qualifications Experience overseeing the daily operations of a large team and/or a multi-area department Experience with a fulfillment operations Ability to quickly learn and adapt to new situations and subject matters At Wegmans, we've always believed we can achieve our goals only if we first fulfill the needs of our people. Putting our people first and offering competitive compensation, comprehensive benefits and a wide range of meaningful perks is just the beginning of what defines a rewarding career at Wegmans. Comprehensive benefits Paid time off (PTO) to help you balance your personal and work life Higher premium pay rates for working overtime, on Sundays, or on a recognized holiday Health care benefits that provide a high level of coverage at a low cost to you Retirement plan with a 401(k) match A generous scholarship program to help employees meet their educational goals LiveWell Employee & Family program to support your emotional, work-life and financial wellness Our employees have put us high on Fortune 100 Best Companies to Work For list every year since it was first produced in 1998. Discover what it means to work for a mission-driven, values-based company where YOU make the difference. Certain eligibility requirements must be satisfied, and offerings may differ based upon area or the company and/or position. + At Wegmans, we've always believed we can achieve our goals only if we first fulfill the needs of our people. Putting our people first and offering competitive compensation, comprehensive benefits and a wide range of meaningful perks is just the beginning of what defines a rewarding career at Wegmans. Comprehensive benefits Paid time off (PTO) to help you balance your personal and work life Higher premium pay rates for working overtime, on Sundays, or on a recognized holiday Health care benefits that provide a high level of coverage at a low cost to you Retirement plan with a 401(k) match A generous scholarship program to help employees meet their educational goals LiveWell Employee & Family program to support your emotional, work-life and financial wellness Our employees have put us high on Fortune 100 Best Companies to Work For list every year since it was first produced in 1998. Discover what it means to work for a mission-driven, values-based company where YOU make the difference. xibtplm Certain eligibility requirements must be satisfied, and offerings may differ based upon area or the company and/or position.
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. About this position The Information Engineering team at NetApp creates and maintains technical documentation published on the company's most visited web site. Our team of strategic thinkers and creative problem-solvers owns NetApp's technical documentation infrastructure as well as pipelines that integrate technical content into products, sites, and AI tools. We are an AI-forward organization and expect team members to leverage responsible AI to improve customer outcomes and create internal efficiencies. Candidates should be prepared to discuss and demonstrate how they have used AI tools or models in their past roles to improve productivity, quality, and innovation, including specific examples, quantified results, and the governance practices they followed. What you'll do Partner with content standards leads, UX designers, engineers, product managers, and data scientists to identify high-value opportunities for AI in the technical content lifecycle. Design, build, launch and iterate agent-driven automated workflows that gather, normalize, and optimize source content for publishing and downstream reuse. Build and operationalize AI-assisted semantic enrichment pipelines (ontology, metadata, and taxonomy tagging) to improve content findability, consistency, and performance. Develop agents and checks that enforce content standards and ensure knowledge is optimized for integration in AI solutions. Implement measurement and reporting systems to track adherence to legal, brand, style, inclusivity, accessibility, accuracy, freshness, and structural standards. Define governance patterns (guardrails, evaluations, and human-in-the-loop review triggers) to ensure responsible, reliable AI outcomes. Use signals (quality metrics, evaluation results, stakeholder feedback) to continuously improve agent behavior, prompt/context strategies, and workflow performance. What skills you'll need Hands-on experience building and improving AI agents and/or multi-agent orchestrations for complex technical content. Experience integrating generative AI capabilities into enterprise workflows (design through production). Experience implementing governance mechanisms such as guardrails, validation checks, evaluations, and human review triggers in AI-assisted workflows. Working knowledge of GenAI fundamentals and responsible AI practices (risk identification, governance, and monitoring). Ability to translate editorial/quality standards into machine-readable rules, automated checks, and agent behaviors. Strong cross-functional collaboration skills and the ability to turn business needs into clear requirements and workable technical solutions. Experience with GitHub and modern CI/CD automation (for example, GitHub Actions). Experience developing and implementing ontology, metadata, and taxonomy for large content sets. Experience with content curation, knowledge management, and information architecture concepts. Familiarity with documentation tooling and formats such as Jekyll, AsciiDoctor, and Markdown. Experience with GitHub Copilot and AI-assisted development practices in day-to-day engineering work. Experience with test, verification, and evaluation of tooling for AI systems. Demonstrated ability to learn new skills quickly (for example, context engineering, programming languages, or new platforms) and apply them to deliver measurable outcomes Education • Typically requires a minimum of 5 years of related experience in addition to a Bachelor's degree in a related technical or engineering field. • Additional experience above the stated minimum requirements may be considered in place of a Bachelor's degree. Compensation: The target salary range for this position is $131,000-$169,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
05/26/2026
Full time
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. About this position The Information Engineering team at NetApp creates and maintains technical documentation published on the company's most visited web site. Our team of strategic thinkers and creative problem-solvers owns NetApp's technical documentation infrastructure as well as pipelines that integrate technical content into products, sites, and AI tools. We are an AI-forward organization and expect team members to leverage responsible AI to improve customer outcomes and create internal efficiencies. Candidates should be prepared to discuss and demonstrate how they have used AI tools or models in their past roles to improve productivity, quality, and innovation, including specific examples, quantified results, and the governance practices they followed. What you'll do Partner with content standards leads, UX designers, engineers, product managers, and data scientists to identify high-value opportunities for AI in the technical content lifecycle. Design, build, launch and iterate agent-driven automated workflows that gather, normalize, and optimize source content for publishing and downstream reuse. Build and operationalize AI-assisted semantic enrichment pipelines (ontology, metadata, and taxonomy tagging) to improve content findability, consistency, and performance. Develop agents and checks that enforce content standards and ensure knowledge is optimized for integration in AI solutions. Implement measurement and reporting systems to track adherence to legal, brand, style, inclusivity, accessibility, accuracy, freshness, and structural standards. Define governance patterns (guardrails, evaluations, and human-in-the-loop review triggers) to ensure responsible, reliable AI outcomes. Use signals (quality metrics, evaluation results, stakeholder feedback) to continuously improve agent behavior, prompt/context strategies, and workflow performance. What skills you'll need Hands-on experience building and improving AI agents and/or multi-agent orchestrations for complex technical content. Experience integrating generative AI capabilities into enterprise workflows (design through production). Experience implementing governance mechanisms such as guardrails, validation checks, evaluations, and human review triggers in AI-assisted workflows. Working knowledge of GenAI fundamentals and responsible AI practices (risk identification, governance, and monitoring). Ability to translate editorial/quality standards into machine-readable rules, automated checks, and agent behaviors. Strong cross-functional collaboration skills and the ability to turn business needs into clear requirements and workable technical solutions. Experience with GitHub and modern CI/CD automation (for example, GitHub Actions). Experience developing and implementing ontology, metadata, and taxonomy for large content sets. Experience with content curation, knowledge management, and information architecture concepts. Familiarity with documentation tooling and formats such as Jekyll, AsciiDoctor, and Markdown. Experience with GitHub Copilot and AI-assisted development practices in day-to-day engineering work. Experience with test, verification, and evaluation of tooling for AI systems. Demonstrated ability to learn new skills quickly (for example, context engineering, programming languages, or new platforms) and apply them to deliver measurable outcomes Education • Typically requires a minimum of 5 years of related experience in addition to a Bachelor's degree in a related technical or engineering field. • Additional experience above the stated minimum requirements may be considered in place of a Bachelor's degree. Compensation: The target salary range for this position is $131,000-$169,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary NetApp's Cloud AI Team is building a new AI agent product for enterprise customers. The team is applying large language models, agentic frameworks, and multi-cloud engineering to help Fortune 500 companies automate complex workflows across enterprise on-premises and cloud deployments. We are looking for a Senior Software Engineer to join the Cloud AI Team. In this role, you will design systems, write production code, and make foundational technical decisions that shape how the product works. You will be part of a high-performing team and collaborate with a talented group of engineers and product managers to deliver scalable, robust, and impactful AI solutions. What You Will Build Design and build AI agent systems that reason about complex enterprise environments, integrate with external tools and data sources, and take reliable action on behalf of users. Develop the backend services, APIs, and orchestration layers that power agent execution, tool integration, and multi-cloud operations. Build developer-facing surfaces including APIs, SDKs, and tooling that make the product accessible, reliable, and intuitive for both internal and external users. Own end-to-end delivery of features from design through production, including architecture, implementation, testing, deployment, and operational support. Make foundational design decisions for a new product: data models, API contracts, service boundaries, and infrastructure patterns that will define how this system scales. Work across the stack in a high-ownership team where everyone builds and everyone ships. Responsibilities Design and deliver complex cloud-native applications that meet performance, scale, and reliability requirements. Solid programming experience in server-side languages and frameworks (e.g., Node.js, Python, Java, Golang, or Rust). Experience with front-end technologies (HTML5, CSS3, JavaScript/TypeScript) and frameworks such as React or Angular is a plus. Proven ability to develop RESTful APIs or microservices, work with web frameworks, and integrate with databases (SQL and/or NoSQL). Experience building and maintaining CI/CD pipelines and infrastructure using tools such as Jenkins, GitHub Actions, or Azure DevOps. Understanding of security best practices, including authentication/authorization (OAuth, SSO), encryption, and compliance standards. Proven ability to make sound design decisions: you can evaluate trade-offs, define system boundaries, and own the architecture of the components you build. Collaborate closely with team members to integrate systems and ensure high-quality deliverables for customer success. Actively mentor and develop team members to build a strong, high-performing team. Work as part of a larger team, collaborating closely with team members and leadership to ensure overall team objectives are met as ONE team. Preferred Skills and Experience Experience with LLM integration, AI agent frameworks, or building systems that incorporate model inference into production workflows (tool calling, retrieval-augmented generation, prompt engineering). Familiarity with agentic design patterns: tool-use protocols, context management, multi-step reasoning, and grounding AI models in real-time data. Experience building developer tools, extensions, or CLI tooling used by external developers. Experience with cloud platforms (AWS, Azure, GCP) and containerization tools such as Docker and Kubernetes, and infrastructure-as-code tools (e.g., Terraform, CloudFormation). Experience with enterprise cloud infrastructure, data management, or storage systems. Experience in a fast-paced environment where you built new systems end-to-end, not just extended existing ones. Requirenments 8+ years of industry experience in software development. 3+ years of experience in building and operating cloud-native, fault-tolerant, highly scalable architectures, including service-oriented architectures, cloud-native services (FAAS, PAAS), with at least one hyperscaler (Azure, AWS, GCP). Education Bachelor's degree in Computer Science, Engineering, or a related field. Master's Degree Preferred. Compensation: The target salary range for this position is $160,000-$215,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
05/26/2026
Full time
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary NetApp's Cloud AI Team is building a new AI agent product for enterprise customers. The team is applying large language models, agentic frameworks, and multi-cloud engineering to help Fortune 500 companies automate complex workflows across enterprise on-premises and cloud deployments. We are looking for a Senior Software Engineer to join the Cloud AI Team. In this role, you will design systems, write production code, and make foundational technical decisions that shape how the product works. You will be part of a high-performing team and collaborate with a talented group of engineers and product managers to deliver scalable, robust, and impactful AI solutions. What You Will Build Design and build AI agent systems that reason about complex enterprise environments, integrate with external tools and data sources, and take reliable action on behalf of users. Develop the backend services, APIs, and orchestration layers that power agent execution, tool integration, and multi-cloud operations. Build developer-facing surfaces including APIs, SDKs, and tooling that make the product accessible, reliable, and intuitive for both internal and external users. Own end-to-end delivery of features from design through production, including architecture, implementation, testing, deployment, and operational support. Make foundational design decisions for a new product: data models, API contracts, service boundaries, and infrastructure patterns that will define how this system scales. Work across the stack in a high-ownership team where everyone builds and everyone ships. Responsibilities Design and deliver complex cloud-native applications that meet performance, scale, and reliability requirements. Solid programming experience in server-side languages and frameworks (e.g., Node.js, Python, Java, Golang, or Rust). Experience with front-end technologies (HTML5, CSS3, JavaScript/TypeScript) and frameworks such as React or Angular is a plus. Proven ability to develop RESTful APIs or microservices, work with web frameworks, and integrate with databases (SQL and/or NoSQL). Experience building and maintaining CI/CD pipelines and infrastructure using tools such as Jenkins, GitHub Actions, or Azure DevOps. Understanding of security best practices, including authentication/authorization (OAuth, SSO), encryption, and compliance standards. Proven ability to make sound design decisions: you can evaluate trade-offs, define system boundaries, and own the architecture of the components you build. Collaborate closely with team members to integrate systems and ensure high-quality deliverables for customer success. Actively mentor and develop team members to build a strong, high-performing team. Work as part of a larger team, collaborating closely with team members and leadership to ensure overall team objectives are met as ONE team. Preferred Skills and Experience Experience with LLM integration, AI agent frameworks, or building systems that incorporate model inference into production workflows (tool calling, retrieval-augmented generation, prompt engineering). Familiarity with agentic design patterns: tool-use protocols, context management, multi-step reasoning, and grounding AI models in real-time data. Experience building developer tools, extensions, or CLI tooling used by external developers. Experience with cloud platforms (AWS, Azure, GCP) and containerization tools such as Docker and Kubernetes, and infrastructure-as-code tools (e.g., Terraform, CloudFormation). Experience with enterprise cloud infrastructure, data management, or storage systems. Experience in a fast-paced environment where you built new systems end-to-end, not just extended existing ones. Requirenments 8+ years of industry experience in software development. 3+ years of experience in building and operating cloud-native, fault-tolerant, highly scalable architectures, including service-oriented architectures, cloud-native services (FAAS, PAAS), with at least one hyperscaler (Azure, AWS, GCP). Education Bachelor's degree in Computer Science, Engineering, or a related field. Master's Degree Preferred. Compensation: The target salary range for this position is $160,000-$215,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
Date Posted: Scroll down the page to see all associated job requirements, and any responsibilities successful candidates can expect. 2026-01-28 Country: United States of America Location: US-UT-WEST VALLEY CITY- & 1128 w 2400 S BLDG 338, Ast-Salt Lake City Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: 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 Security Clearance Type: TS/SCI with Polygraph Security Clearance Status: Active and existing security clearance required after day 1 Raytheon Company Managed by Collins Aerospace. This role is primarily On-Site, with flexibility at hiring manager discretion. Applied Signal Technology (AST) is seeking a Principal Software Engineer who strives for excellence and have a passion to be part of a team that strengthens our nation and improves the security of our world. AST provides trusted strategic and tactical SIGINT solutions that secure the interests of the U.S. and its partners. AST's work in areas such as high-capacity broadband communications, signal processing and analysis, tactical SIGINT, and wireless communications continually challenges our extraordinary engineers to resolve problems and make the world a safer place. AST's work environment is passionate, highly collaborative and provides engineers the freedom to strengthen and expand their skills, explore new and creative ideas, and work closely with our nation's finest service members all while embracing integrity, innovation, and work-life balance. This is an ONSITE position based out of our Salt Lake City, UT location. To learn more about Applied Signal Technology, please click the following link - Applied Signal Technology: WHO WE ARE Qualifications You Must Have: Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 8 years of prior relevant experience Experience developing in modern programming languages (e.g. C++) in a Linux environment Good working knowledge of data structures and how to efficiently use them to solve problems Experience with one or more scripting languages (e.g. Python) Experience working with containerized software and associated tools (Kubernetes, Helm, Podman) Ability to obtain a U.S. government issued Top Secret SCI (TS/SCI) security clearance. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer: Experience with Multithreading Experience working both in a team environment and individually Experience with network protocols such as TCP/IP Experience with Qt Experience with User Interface development Experience with Angular web GUI development Embedded SW Design Experience Experience in integrating software with hardware Experience with Configuration Management tools, such as git Experience maintaining and using build processes (makefiles, CMake) Familiarity with event-driven systems and messaging platforms such as Kafka Familiarity with RESTful APIs and gRPC Experience with or basic understanding of telecommunications systems concepts and/or signal processing Experience with or basic understanding of International Telecommunication Union (ITU) Standards Active and transferable U.S. government issued Top Secret SCI (TS/SCI) security clearance with Poly What We Offer Medical, dental, and vision insurance Three weeks of vacation for newly hired employees Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option Tuition reimbursement program Student Loan Repayment Program Life insurance and disability coverage Optional coverages you can buy pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection Birth, adoption, parental leave benefits Ovia Health, fertility, and family planning Adoption Assistance Autism Benefit Employee Assistance Plan, including up to 10 free counseling sessions Healthy You Incentives, wellness rewards program Doctor on Demand, virtual doctor visits Bright Horizons, child and elder care services Teladoc Medical Experts, second opinion program Eligible for relocation And More! Learn More & Apply Now! Do you want to be a part of something bigger? A team whose impact stretches across the world, and even beyond? At Collins Aerospace, our Mission Systems team helps civilian, military and government customers complete their most complex missions - whatever and wherever they may be. Our customers depend on us for intelligent and secure communications, missionized systems for specialized aircraft and spacecraft and collaborative space solutions. By joining our team, you'll have your own critical part to play in ensuring our customer succeeds today while anticipating their needs for tomorrow. Are you up for the challenge? Join our mission today. Please ensure the role type (defined below) is appropriate for your needs before applying to 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. 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 107,500 USD - 204,500 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. xibtplm 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
05/26/2026
Full time
Date Posted: Scroll down the page to see all associated job requirements, and any responsibilities successful candidates can expect. 2026-01-28 Country: United States of America Location: US-UT-WEST VALLEY CITY- & 1128 w 2400 S BLDG 338, Ast-Salt Lake City Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: 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 Security Clearance Type: TS/SCI with Polygraph Security Clearance Status: Active and existing security clearance required after day 1 Raytheon Company Managed by Collins Aerospace. This role is primarily On-Site, with flexibility at hiring manager discretion. Applied Signal Technology (AST) is seeking a Principal Software Engineer who strives for excellence and have a passion to be part of a team that strengthens our nation and improves the security of our world. AST provides trusted strategic and tactical SIGINT solutions that secure the interests of the U.S. and its partners. AST's work in areas such as high-capacity broadband communications, signal processing and analysis, tactical SIGINT, and wireless communications continually challenges our extraordinary engineers to resolve problems and make the world a safer place. AST's work environment is passionate, highly collaborative and provides engineers the freedom to strengthen and expand their skills, explore new and creative ideas, and work closely with our nation's finest service members all while embracing integrity, innovation, and work-life balance. This is an ONSITE position based out of our Salt Lake City, UT location. To learn more about Applied Signal Technology, please click the following link - Applied Signal Technology: WHO WE ARE Qualifications You Must Have: Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 8 years of prior relevant experience Experience developing in modern programming languages (e.g. C++) in a Linux environment Good working knowledge of data structures and how to efficiently use them to solve problems Experience with one or more scripting languages (e.g. Python) Experience working with containerized software and associated tools (Kubernetes, Helm, Podman) Ability to obtain a U.S. government issued Top Secret SCI (TS/SCI) security clearance. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer: Experience with Multithreading Experience working both in a team environment and individually Experience with network protocols such as TCP/IP Experience with Qt Experience with User Interface development Experience with Angular web GUI development Embedded SW Design Experience Experience in integrating software with hardware Experience with Configuration Management tools, such as git Experience maintaining and using build processes (makefiles, CMake) Familiarity with event-driven systems and messaging platforms such as Kafka Familiarity with RESTful APIs and gRPC Experience with or basic understanding of telecommunications systems concepts and/or signal processing Experience with or basic understanding of International Telecommunication Union (ITU) Standards Active and transferable U.S. government issued Top Secret SCI (TS/SCI) security clearance with Poly What We Offer Medical, dental, and vision insurance Three weeks of vacation for newly hired employees Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option Tuition reimbursement program Student Loan Repayment Program Life insurance and disability coverage Optional coverages you can buy pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection Birth, adoption, parental leave benefits Ovia Health, fertility, and family planning Adoption Assistance Autism Benefit Employee Assistance Plan, including up to 10 free counseling sessions Healthy You Incentives, wellness rewards program Doctor on Demand, virtual doctor visits Bright Horizons, child and elder care services Teladoc Medical Experts, second opinion program Eligible for relocation And More! Learn More & Apply Now! Do you want to be a part of something bigger? A team whose impact stretches across the world, and even beyond? At Collins Aerospace, our Mission Systems team helps civilian, military and government customers complete their most complex missions - whatever and wherever they may be. Our customers depend on us for intelligent and secure communications, missionized systems for specialized aircraft and spacecraft and collaborative space solutions. By joining our team, you'll have your own critical part to play in ensuring our customer succeeds today while anticipating their needs for tomorrow. Are you up for the challenge? Join our mission today. Please ensure the role type (defined below) is appropriate for your needs before applying to 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. 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 107,500 USD - 204,500 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. xibtplm 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
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron Idaho Semiconductor Manufacturing (Triton) LLC Monitor the health of assigned processes, ensuring high-quality output, and provide proactive redundancy plans for bottlenecks that could impact Fab cycle time (CT) or turns. Collaborate with shift teams to resolve tool process issues and maximize tool output. Collaborate with supervisor and area leaders to create personal performance and development goals. Communicate proactively with MDE shift and Shift Ops leaders on daily priorities and issues. Attend and participate in DAM, TPM Teams, SPC, Transfer, and other meetings. Collaborate with Equipment Engineers and shift Engineers/Technicians to gather input for area improvement. Communicate changes made to equipment and follow business rules for change control. Collaborate with HVMs in data collection, gap analysis, and improvement implementation as part of benchmarking and transfer activities. Proactively communicate issues that could cause yield loss, excursions, defects, tool restrictions, or output loss. Coordinate with Process Development Engineering, Process Integration, and Shift Ops on process issues and changes. Collaborate with Shift Ops, SOT, and the IE team to ensure existing process holds are minimized. Communicate known impacts of special processing requests and potential process holds to Shift Ops and SOT Area Managers. Write and modify recipes to enable efficient tool processing and experimentation. Analyze data to make critical decisions and drive cost-reduction activities. Resolve CT/capacity-related issues in the area (redundancy, target reduction, sample plans, RPT issues, etc.). Monitor equipment usage and production efficiency to ensure maximum output and turns. Provide QDR documentation and proactive follow-up on issues. Respond to chronic SPC performance issues by driving to fix root causes. Provide troubleshooting support for complex process problems and address root causes. Ensure the quality process of daily operations, communicate process holds, and formulate action plans. Maintain matching and drives for process consistency. Effectively plan for required capacity and product mix by ensuring equipment is capable of running variance as projected. Provide effective and timely guidance to resolve equipment issues and be highly engaged in key problem resolution. Manage projects to ensure deliverables are completed within the required scope, schedule, and budget. Track actions and provide escalation paths or resources to ensure actions are completed on time. Drive shift teams to focus on priority issues and stay within project scope. Coordinate and lead meetings and initiate follow-up actions. Support department business processes for new tool installations, as well as existing tool modifications or removals. At least 10% of international travel is required for short-term training at other Micron sites. Requirements: Employer will accept a Bachelor's degree in Electrical Engineering, or related field and 3 years of experience in the job offered or in a Semiconductor Process Engineer-related occupation. Position also requires experience in: 1. MS Office Word, Excel, PowerPoint, JMP, and Qoniac. 2. Process flow related to area equipment 3. SPC principles 4. Use and risks of GeRM, Mfg Central, Yield3, Klarity, and Exceed K2view. 5. Probe and Param functions 6. Manufacturing team structure, standards, and processes. 7. Identify, understand, and mitigate risk before making critical decisions. As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on . Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your right to work click here. To learn more about Micron, please visit For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at or 1- (select option 3) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.5c143e31-5e48-4549-b2d185386
05/26/2026
Full time
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron Idaho Semiconductor Manufacturing (Triton) LLC Monitor the health of assigned processes, ensuring high-quality output, and provide proactive redundancy plans for bottlenecks that could impact Fab cycle time (CT) or turns. Collaborate with shift teams to resolve tool process issues and maximize tool output. Collaborate with supervisor and area leaders to create personal performance and development goals. Communicate proactively with MDE shift and Shift Ops leaders on daily priorities and issues. Attend and participate in DAM, TPM Teams, SPC, Transfer, and other meetings. Collaborate with Equipment Engineers and shift Engineers/Technicians to gather input for area improvement. Communicate changes made to equipment and follow business rules for change control. Collaborate with HVMs in data collection, gap analysis, and improvement implementation as part of benchmarking and transfer activities. Proactively communicate issues that could cause yield loss, excursions, defects, tool restrictions, or output loss. Coordinate with Process Development Engineering, Process Integration, and Shift Ops on process issues and changes. Collaborate with Shift Ops, SOT, and the IE team to ensure existing process holds are minimized. Communicate known impacts of special processing requests and potential process holds to Shift Ops and SOT Area Managers. Write and modify recipes to enable efficient tool processing and experimentation. Analyze data to make critical decisions and drive cost-reduction activities. Resolve CT/capacity-related issues in the area (redundancy, target reduction, sample plans, RPT issues, etc.). Monitor equipment usage and production efficiency to ensure maximum output and turns. Provide QDR documentation and proactive follow-up on issues. Respond to chronic SPC performance issues by driving to fix root causes. Provide troubleshooting support for complex process problems and address root causes. Ensure the quality process of daily operations, communicate process holds, and formulate action plans. Maintain matching and drives for process consistency. Effectively plan for required capacity and product mix by ensuring equipment is capable of running variance as projected. Provide effective and timely guidance to resolve equipment issues and be highly engaged in key problem resolution. Manage projects to ensure deliverables are completed within the required scope, schedule, and budget. Track actions and provide escalation paths or resources to ensure actions are completed on time. Drive shift teams to focus on priority issues and stay within project scope. Coordinate and lead meetings and initiate follow-up actions. Support department business processes for new tool installations, as well as existing tool modifications or removals. At least 10% of international travel is required for short-term training at other Micron sites. Requirements: Employer will accept a Bachelor's degree in Electrical Engineering, or related field and 3 years of experience in the job offered or in a Semiconductor Process Engineer-related occupation. Position also requires experience in: 1. MS Office Word, Excel, PowerPoint, JMP, and Qoniac. 2. Process flow related to area equipment 3. SPC principles 4. Use and risks of GeRM, Mfg Central, Yield3, Klarity, and Exceed K2view. 5. Probe and Param functions 6. Manufacturing team structure, standards, and processes. 7. Identify, understand, and mitigate risk before making critical decisions. As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on . Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your right to work click here. To learn more about Micron, please visit For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at or 1- (select option 3) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.5c143e31-5e48-4549-b2d185386
Manager, Product Manager - Enterprise Payments - OnePay Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry. About the Team Capital One's Enterprise Payments team is defining the roadmap that will enable the bank's overall digital payments strategy, modernizing existing payment types and introducing the latest innovations. In an industry rooted in mainframe systems and batch processes, we are driving toward a cloud-based, API/microservice architected, real-time data environment. The world is moving toward faster payments and Capital One is not just ahead of the curve, but defining it. We are a tech-centric company and an innovation laboratory within the only founder-led, top 10 bank in the U.S. The Product Manager for the Enterprise Payments team plays a critical role in achieving our goals. This is a highly collaborative role, where the individual will work closely with a team of product managers as well partnering with designers, engineers, data scientists, operations, and business partners to transform the experience for all of our customers. Through this collaboration, the individual will shape the product strategy and then develop, launch, and enhance payments experiences that will meet the unique needs of our customers, ranging from consumer to small business to commercial personas across both lending and deposit products. Your product forms a key cornerstone of Capital One's payments experience - blending digital design with backend integration to provide our internal and external customers the ability to transact in real time with straight through processing. To fit the bill, you will need to have deep passion for Payments along with product-centric thinking that analyzes problems, develops simple and intuitive solutions and then, working with our agile teams, delivers those user experiences on the latest technologies. You'll need to be equally comfortable navigating the development with our tech partners as you are communicating user experience, operational fulfillment, and risk with our business partners. Capital One Product Framework In this role, you'll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management: Human Centered - Obsesses about internal and external customer needs to reimagine and innovate product solutions Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value Integrated Problem Solving - Identifies and resolves complex problems to deliver outcomes while mitigating product risks Transformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignment Basic Qualifications: At least 3 years of experience working in Product Management Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications: Experience translating business strategy and analysis into consumer facing digital products At this time, Capital One will not sponsor a new 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: $164,800 - $188,100 for Manager, Product Management New York, NY: $179,700 - $205,100 for Manager, Product Management Philadelphia, PA: $149,800 - $171,000 for Manager, Product Management Richmond, VA: $149,800 - $171,000 for Manager, Product Management Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
05/26/2026
Full time
Manager, Product Manager - Enterprise Payments - OnePay Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry. About the Team Capital One's Enterprise Payments team is defining the roadmap that will enable the bank's overall digital payments strategy, modernizing existing payment types and introducing the latest innovations. In an industry rooted in mainframe systems and batch processes, we are driving toward a cloud-based, API/microservice architected, real-time data environment. The world is moving toward faster payments and Capital One is not just ahead of the curve, but defining it. We are a tech-centric company and an innovation laboratory within the only founder-led, top 10 bank in the U.S. The Product Manager for the Enterprise Payments team plays a critical role in achieving our goals. This is a highly collaborative role, where the individual will work closely with a team of product managers as well partnering with designers, engineers, data scientists, operations, and business partners to transform the experience for all of our customers. Through this collaboration, the individual will shape the product strategy and then develop, launch, and enhance payments experiences that will meet the unique needs of our customers, ranging from consumer to small business to commercial personas across both lending and deposit products. Your product forms a key cornerstone of Capital One's payments experience - blending digital design with backend integration to provide our internal and external customers the ability to transact in real time with straight through processing. To fit the bill, you will need to have deep passion for Payments along with product-centric thinking that analyzes problems, develops simple and intuitive solutions and then, working with our agile teams, delivers those user experiences on the latest technologies. You'll need to be equally comfortable navigating the development with our tech partners as you are communicating user experience, operational fulfillment, and risk with our business partners. Capital One Product Framework In this role, you'll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management: Human Centered - Obsesses about internal and external customer needs to reimagine and innovate product solutions Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value Integrated Problem Solving - Identifies and resolves complex problems to deliver outcomes while mitigating product risks Transformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignment Basic Qualifications: At least 3 years of experience working in Product Management Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications: Experience translating business strategy and analysis into consumer facing digital products At this time, Capital One will not sponsor a new 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: $164,800 - $188,100 for Manager, Product Management New York, NY: $179,700 - $205,100 for Manager, Product Management Philadelphia, PA: $149,800 - $171,000 for Manager, Product Management Richmond, VA: $149,800 - $171,000 for Manager, Product Management Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Manager, Product Manager - Enterprise Payments - OnePay Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry. About the Team Capital One's Enterprise Payments team is defining the roadmap that will enable the bank's overall digital payments strategy, modernizing existing payment types and introducing the latest innovations. In an industry rooted in mainframe systems and batch processes, we are driving toward a cloud-based, API/microservice architected, real-time data environment. The world is moving toward faster payments and Capital One is not just ahead of the curve, but defining it. We are a tech-centric company and an innovation laboratory within the only founder-led, top 10 bank in the U.S. The Product Manager for the Enterprise Payments team plays a critical role in achieving our goals. This is a highly collaborative role, where the individual will work closely with a team of product managers as well partnering with designers, engineers, data scientists, operations, and business partners to transform the experience for all of our customers. Through this collaboration, the individual will shape the product strategy and then develop, launch, and enhance payments experiences that will meet the unique needs of our customers, ranging from consumer to small business to commercial personas across both lending and deposit products. Your product forms a key cornerstone of Capital One's payments experience - blending digital design with backend integration to provide our internal and external customers the ability to transact in real time with straight through processing. To fit the bill, you will need to have deep passion for Payments along with product-centric thinking that analyzes problems, develops simple and intuitive solutions and then, working with our agile teams, delivers those user experiences on the latest technologies. You'll need to be equally comfortable navigating the development with our tech partners as you are communicating user experience, operational fulfillment, and risk with our business partners. Capital One Product Framework In this role, you'll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management: Human Centered - Obsesses about internal and external customer needs to reimagine and innovate product solutions Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value Integrated Problem Solving - Identifies and resolves complex problems to deliver outcomes while mitigating product risks Transformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignment Basic Qualifications: At least 3 years of experience working in Product Management Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications: Experience translating business strategy and analysis into consumer facing digital products At this time, Capital One will not sponsor a new 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: $164,800 - $188,100 for Manager, Product Management New York, NY: $179,700 - $205,100 for Manager, Product Management Philadelphia, PA: $149,800 - $171,000 for Manager, Product Management Richmond, VA: $149,800 - $171,000 for Manager, Product Management Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
05/26/2026
Full time
Manager, Product Manager - Enterprise Payments - OnePay Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry. About the Team Capital One's Enterprise Payments team is defining the roadmap that will enable the bank's overall digital payments strategy, modernizing existing payment types and introducing the latest innovations. In an industry rooted in mainframe systems and batch processes, we are driving toward a cloud-based, API/microservice architected, real-time data environment. The world is moving toward faster payments and Capital One is not just ahead of the curve, but defining it. We are a tech-centric company and an innovation laboratory within the only founder-led, top 10 bank in the U.S. The Product Manager for the Enterprise Payments team plays a critical role in achieving our goals. This is a highly collaborative role, where the individual will work closely with a team of product managers as well partnering with designers, engineers, data scientists, operations, and business partners to transform the experience for all of our customers. Through this collaboration, the individual will shape the product strategy and then develop, launch, and enhance payments experiences that will meet the unique needs of our customers, ranging from consumer to small business to commercial personas across both lending and deposit products. Your product forms a key cornerstone of Capital One's payments experience - blending digital design with backend integration to provide our internal and external customers the ability to transact in real time with straight through processing. To fit the bill, you will need to have deep passion for Payments along with product-centric thinking that analyzes problems, develops simple and intuitive solutions and then, working with our agile teams, delivers those user experiences on the latest technologies. You'll need to be equally comfortable navigating the development with our tech partners as you are communicating user experience, operational fulfillment, and risk with our business partners. Capital One Product Framework In this role, you'll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management: Human Centered - Obsesses about internal and external customer needs to reimagine and innovate product solutions Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value Integrated Problem Solving - Identifies and resolves complex problems to deliver outcomes while mitigating product risks Transformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignment Basic Qualifications: At least 3 years of experience working in Product Management Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications: Experience translating business strategy and analysis into consumer facing digital products At this time, Capital One will not sponsor a new 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: $164,800 - $188,100 for Manager, Product Management New York, NY: $179,700 - $205,100 for Manager, Product Management Philadelphia, PA: $149,800 - $171,000 for Manager, Product Management Richmond, VA: $149,800 - $171,000 for Manager, Product Management Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Manager, Product Management - Enterprise AI/ML Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry. About the Team This team powers real-time, intelligent banking by safely introducing, scaling, and operationalizing new Artificial Intelligence and Machine Learning capabilities across the business. Capital One Product Framework In this role, you'll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management: Human Centered - Obsesses about internal and external customer needs to reimagine and innovate product solutions Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value Integrated Problem Solving - Identifies and resolves complex problems to deliver outcomes while mitigating product risks Transformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignment Basic Qualifications: At least 3 years of experience working in Product Management Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications: Experience in product management for technical platforms (data science or Machine Learning preferred), MLOps, or internal developer tools. Familiarity with cloud computing environments (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Kubernetes). Demonstrated experience working in an Agile environment and managing a product backlog. At this time, Capital One will not sponsor a new 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: $164,800 - $188,100 for Manager, Product Management Chicago, IL: $149,800 - $171,000 for Manager, Product Management McLean, VA: $164,800 - $188,100 for Manager, Product Management New York, NY: $179,700 - $205,100 for Manager, Product Management Richmond, VA: $149,800 - $171,000 for Manager, Product Management San Francisco, CA: $179,700 - $205,100 for Manager, Product Management Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
05/26/2026
Full time
Manager, Product Management - Enterprise AI/ML Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry. About the Team This team powers real-time, intelligent banking by safely introducing, scaling, and operationalizing new Artificial Intelligence and Machine Learning capabilities across the business. Capital One Product Framework In this role, you'll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management: Human Centered - Obsesses about internal and external customer needs to reimagine and innovate product solutions Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value Integrated Problem Solving - Identifies and resolves complex problems to deliver outcomes while mitigating product risks Transformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignment Basic Qualifications: At least 3 years of experience working in Product Management Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications: Experience in product management for technical platforms (data science or Machine Learning preferred), MLOps, or internal developer tools. Familiarity with cloud computing environments (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Kubernetes). Demonstrated experience working in an Agile environment and managing a product backlog. At this time, Capital One will not sponsor a new 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: $164,800 - $188,100 for Manager, Product Management Chicago, IL: $149,800 - $171,000 for Manager, Product Management McLean, VA: $164,800 - $188,100 for Manager, Product Management New York, NY: $179,700 - $205,100 for Manager, Product Management Richmond, VA: $149,800 - $171,000 for Manager, Product Management San Francisco, CA: $179,700 - $205,100 for Manager, Product Management Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Manager, Product Management, Enterprise AI/ML Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry. About the Team Enterprise AI/ML is powering real-time, intelligent banking by introducing new AI/ML capabilities and safely scaling business-led innovations. This horizontal platform team builds intelligence capabilities, spanning distributed compute technologies, control plane operations, and cost management, directly engaging with users of Capital One's largest AI & ML platforms to understand and solve complex technical and operational challenges. We drive transformative solutions in partnership with engineering, risk, security, and business teams to ensure that rigorous governance, security, resiliency, and availability requirements are met. We are seeking a Technical Product Leader with a proven history of building exceptional products and experiences for technical users like data scientists, ML engineers, and software developers, who is capable of bringing a fresh, innovative perspective to influence and shape the platforms and tools that thousands of engineers use every day to deliver intelligent, personalized customer experiences. Capital One Product Framework In this role, you'll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management: Human Centered - Obsesses about internal and external customer needs to reimagine and innovate product solutions Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value Integrated Problem Solving - Identifies and resolves complex problems to deliver outcomes while mitigating product risks Transformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignment Basic Qualifications: At least 5 years of experience working in Product Management Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications: Experience translating business strategy and analysis into consumer facing digital products At this time, Capital One will not sponsor a new 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: $200,700 - $229,100 for Sr. Mgr, Product Management New York, NY: $219,000 - $249,900 for Sr. Mgr, Product Management Richmond, VA: $182,500 - $208,300 for Sr. Mgr, Product Management Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
05/26/2026
Full time
Senior Manager, Product Management, Enterprise AI/ML Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry. About the Team Enterprise AI/ML is powering real-time, intelligent banking by introducing new AI/ML capabilities and safely scaling business-led innovations. This horizontal platform team builds intelligence capabilities, spanning distributed compute technologies, control plane operations, and cost management, directly engaging with users of Capital One's largest AI & ML platforms to understand and solve complex technical and operational challenges. We drive transformative solutions in partnership with engineering, risk, security, and business teams to ensure that rigorous governance, security, resiliency, and availability requirements are met. We are seeking a Technical Product Leader with a proven history of building exceptional products and experiences for technical users like data scientists, ML engineers, and software developers, who is capable of bringing a fresh, innovative perspective to influence and shape the platforms and tools that thousands of engineers use every day to deliver intelligent, personalized customer experiences. Capital One Product Framework In this role, you'll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management: Human Centered - Obsesses about internal and external customer needs to reimagine and innovate product solutions Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value Integrated Problem Solving - Identifies and resolves complex problems to deliver outcomes while mitigating product risks Transformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignment Basic Qualifications: At least 5 years of experience working in Product Management Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications: Experience translating business strategy and analysis into consumer facing digital products At this time, Capital One will not sponsor a new 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: $200,700 - $229,100 for Sr. Mgr, Product Management New York, NY: $219,000 - $249,900 for Sr. Mgr, Product Management Richmond, VA: $182,500 - $208,300 for Sr. Mgr, Product Management Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Manager, Product Management - Enterprise Product & Experience Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry. About the Team The Enterprise Product and Experience team builds on the shoulders of our data and technology transformation. We bring together cross-functional experts to help drive Capital One's Enterprise product, data, design, machine learning and engineering, data science, and developer capabilities. Together, we are working with our partners across Capital One to deliver the future of industry-defining products, platforms, and experiences for our associates and customers. Capital One Product Framework In this role, you'll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management: Human Centered - Obsesses about internal and external customer needs to reimagine and innovate product solutions Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value Integrated Problem Solving - Identifies and resolves complex problems to deliver outcomes while mitigating product risks Transformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignment Basic Qualifications: At least 3 years of experience working in Product Management Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications: Experience translating business strategy and analysis into consumer facing digital products At this time, Capital One will not sponsor a new 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: $164,800 - $188,100 for Manager, Product Management New York, NY: $179,700 - $205,100 for Manager, Product Management Richmond, VA: $149,800 - $171,000 for Manager, Product Management Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
05/26/2026
Full time
Manager, Product Management - Enterprise Product & Experience Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry. About the Team The Enterprise Product and Experience team builds on the shoulders of our data and technology transformation. We bring together cross-functional experts to help drive Capital One's Enterprise product, data, design, machine learning and engineering, data science, and developer capabilities. Together, we are working with our partners across Capital One to deliver the future of industry-defining products, platforms, and experiences for our associates and customers. Capital One Product Framework In this role, you'll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management: Human Centered - Obsesses about internal and external customer needs to reimagine and innovate product solutions Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value Integrated Problem Solving - Identifies and resolves complex problems to deliver outcomes while mitigating product risks Transformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignment Basic Qualifications: At least 3 years of experience working in Product Management Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications: Experience translating business strategy and analysis into consumer facing digital products At this time, Capital One will not sponsor a new 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: $164,800 - $188,100 for Manager, Product Management New York, NY: $179,700 - $205,100 for Manager, Product Management Richmond, VA: $149,800 - $171,000 for Manager, Product Management Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Sr. Lead AI Engineer (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
05/26/2026
Full time
Sr. Lead AI Engineer (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Lead AI Engineer (LLM Customization and Finetuning) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
05/26/2026
Full time
Senior Lead AI Engineer (LLM Customization and Finetuning) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Lead AI Engineer (MLX) 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 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
05/26/2026
Full time
Lead AI Engineer (MLX) 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 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Lead AI Engineer ( MLX, Gen AI Platform Services, Agentic AI) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
05/26/2026
Full time
Lead AI Engineer ( MLX, Gen AI Platform Services, Agentic AI) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Lead AI Engineer (MLX) 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 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
05/26/2026
Full time
Lead AI Engineer (MLX) 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 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Position: Full Stack Developer - Intermediate Location: Wilmington, Delaware Duration: Contract Job ID: 171408 Job Overview: We are seeking a skilled and motivated Full Stack Developer - Intermediate to join our team. The ideal candidate will have a strong background in both front-end and back-end development, with the ability to design, develop, and maintain web applications. This role requires collaboration with cross-functional teams to deliver high-quality solutions that meet business needs. Responsibilities: Develop and maintain scalable web applications using modern technologies. Collaborate with designers, product managers, and other developers to implement user-friendly features. Write clean, efficient, and well-documented code. Ensure the performance, quality, and responsiveness of applications. Identify and fix bugs or performance bottlenecks. Stay updated with emerging trends and technologies in software development. Qualifications: Proven experience as a Full Stack Developer or similar role. Proficiency in front-end technologies such as HTML, CSS, JavaScript, and frameworks like React or Angular. Strong knowledge of back-end technologies such as Node.js, Python, or Java. Experience with databases, both relational and non-relational (e.g., MySQL, MongoDB). Familiarity with version control systems like Git. Excellent problem-solving and communication skills. Bachelor's degree in Computer Science, Information Technology, or a related field is preferred. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $65 - $70 The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at
05/26/2026
Full time
Position: Full Stack Developer - Intermediate Location: Wilmington, Delaware Duration: Contract Job ID: 171408 Job Overview: We are seeking a skilled and motivated Full Stack Developer - Intermediate to join our team. The ideal candidate will have a strong background in both front-end and back-end development, with the ability to design, develop, and maintain web applications. This role requires collaboration with cross-functional teams to deliver high-quality solutions that meet business needs. Responsibilities: Develop and maintain scalable web applications using modern technologies. Collaborate with designers, product managers, and other developers to implement user-friendly features. Write clean, efficient, and well-documented code. Ensure the performance, quality, and responsiveness of applications. Identify and fix bugs or performance bottlenecks. Stay updated with emerging trends and technologies in software development. Qualifications: Proven experience as a Full Stack Developer or similar role. Proficiency in front-end technologies such as HTML, CSS, JavaScript, and frameworks like React or Angular. Strong knowledge of back-end technologies such as Node.js, Python, or Java. Experience with databases, both relational and non-relational (e.g., MySQL, MongoDB). Familiarity with version control systems like Git. Excellent problem-solving and communication skills. Bachelor's degree in Computer Science, Information Technology, or a related field is preferred. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $65 - $70 The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at
HII Mission Technologies Division
Columbia, Maryland
Enlighten, honored as a Top Workplace from USA Today, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science. Enlighten provides continued innovation and proactivity in meeting our customers' greatest challenges. We recognize that the most effective environment for your projects doesn't always look the same. Our hybrid work approach ensures that you can make lasting relationships with your team and collaborate in-person to get the job done-while having the flexibility to work from home when needed to achieve focused results. Why Enlighten? At Enlighten, our team's unwavering work ethic, top talent and celebration of innovative ideas have helped us thrive. We know that our employees are essential to our company's success, so we seek to take care of you as much as you take care of us. Here are a few highlights of our benefits package: • 100% paid employee premium for healthcare, vision and dental plans. • 10% 401k benefit. • Generous PTO + 10 paid holidays. • Education/training allowances. Anticipated Salary Range: $165,033.00 - $240,000.00. The salary range for this role is intended as a good faith estimate based on the role's location, expectations, and responsibilities. When extending an offer, Enlighten takes a variety of factors into consideration which include, but are not limited to, the role's function, internal equity and a candidate's education or training, work experience, certifications and key skills. Occasionally positions/roles may include additional non-recurrent compensation and will be addressed by the recruiter during the interview process. Job Description Enlighten is a cutting-edge technology company that is dedicated to developing innovative software solutions for our clients. We are currently seeking a talented and experienced Software Engineer to join our team to help build foundational AI integration frameworks. As a Software Engineer focused on AI Integration, you will be responsible for designing, developing, and implementing the "paved road" for AI at our company. Note: This role is not focused on training foundational AI models from scratch. Instead, you will take industry best practices, open-source capabilities, and large language models (LLMs), and build a secure framework that allows our other software capabilities to seamlessly leverage AI. You will work closely with other talented engineers to create secure, enterprise-grade AI software solutions, including Model Context Protocol (MCP) servers, reusable AI skills, strict safety guardrails, and other AI framework capabilities that meet the complex needs of our clients. In this role, you will have the opportunity to work with modern tools and technologies at the intersection of complex backend engineering and applied AI, and you will be encouraged to stay up-to-date with the latest developments in the field. You will be part of a dynamic and collaborative team that is committed to delivering high-quality, secure software solutions. If you are a self-motivated, creative, and detail-oriented software engineer who is passionate about treating AI as a complex software integration problem, we would love to hear from you. Level Essential Job Responsibilities Must have a strong working knowledge and experience developing Java based software capabilities. Design and develop foundational AI frameworks, including internal APIs, middleware, and routing layers that allow other systems to securely utilize AI capabilities. Build Model Context Protocol (MCP) servers and a library of reusable "skills" (function calling/tools) that enable AI models to safely interact with our internal databases, microservices, and external APIs. Implement strict enterprise AI guardrails, ensuring data privacy, sensitive data scrubbing, prompt injection defenses, and output validation to meet stringent security requirements. Should have an inquisitive nature, responsiveness, and excellent testing skills (including an interest in automated testing pipelines for non-deterministic AI outputs). Must also possess strong troubleshooting skills and the ability to work under pressure with multiple deadlines. Will work in a fast-paced, small business environment with our talented team. Seamlessly transition between hands-on execution and team guidance, treating mentorship and team leadership as inherent components of senior-level impact. Other duties as assigned. Minimum Qualifications Security Clearance - A current U.S. Government Security clearance is not requiredon day 1, but will be processed for one; U.S. citizenship required. Can also consider candidates with current Secret or TS level clearance. Must have at least 15 years of experience in Software Engineering, Modern Java Frameworks and Libraries (e.g. Spring, Guava) with a Bachelor's degree in related field; 13 years relevant experience with Masters in related field; or High School Diploma or equivalent and 19 years relevant experience. Applied AI Experience: Hands-on experience or a strong aptitude for integrating commercial LLM APIs (e.g., OpenAI, Anthropic) or open-source models into backend applications. Demonstrated understanding of modern applied AI concepts such as prompt engineering, function-calling/tool-use, and Retrieval-Augmented Generation (RAG). Demonstrated experience serving as a tech lead, mentor, or manager for engineering teams. Experience in designing enterprise APIs. Experience in RESTful web services. Experience in Microservices architecture. Experience in Object Oriented Programming (OOP) paradigms. Experience with the agile software lifecycle. Experience with configuration management tools (e.g. Git, Nexus, Maven). Comfortable working on a linux command line. Has a proven ability to learn quickly and works well both independently as well as in a team setting. Problem solving skills and ability to review information and compile data appropriately as needed. Must be able to work in a hybrid environment, spending an average of 1-2 days per week at our Columbia, MD office. Flexibility is essential to adapt to schedule changes as needed. Preferred Requirements Familiarity with Java-based AI integration frameworks (e.g., Spring AI, LangChain4j) or Python equivalents (LangChain, LlamaIndex). Experience with Vector Databases, semantic caching, and AI observability tools. Experience with NiFi, Kafka, AWS Infrastructure, and K8's. Experience in cloud based technologies (AWS, Azure). Experience in SQL databases (e.g., Postgres, MySQL), distributed databases, NoSQL databases. Scripting experience (particularly Python, given its prominence in the AI ecosystem) is a huge plus. Prior experience or familiarity with our Big Data Platform is a plus. Understanding of agile software development methodologies and use of standard software development tool suites. (e.g., JIRA, Confluence, Youtrack, Github, etc.) DoD 8140 / 8570 IAT Level II compliance certifications may be required in this position as directed by the customer. We have many more additional great benefits/perks that you can find on our website at .
05/26/2026
Full time
Enlighten, honored as a Top Workplace from USA Today, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science. Enlighten provides continued innovation and proactivity in meeting our customers' greatest challenges. We recognize that the most effective environment for your projects doesn't always look the same. Our hybrid work approach ensures that you can make lasting relationships with your team and collaborate in-person to get the job done-while having the flexibility to work from home when needed to achieve focused results. Why Enlighten? At Enlighten, our team's unwavering work ethic, top talent and celebration of innovative ideas have helped us thrive. We know that our employees are essential to our company's success, so we seek to take care of you as much as you take care of us. Here are a few highlights of our benefits package: • 100% paid employee premium for healthcare, vision and dental plans. • 10% 401k benefit. • Generous PTO + 10 paid holidays. • Education/training allowances. Anticipated Salary Range: $165,033.00 - $240,000.00. The salary range for this role is intended as a good faith estimate based on the role's location, expectations, and responsibilities. When extending an offer, Enlighten takes a variety of factors into consideration which include, but are not limited to, the role's function, internal equity and a candidate's education or training, work experience, certifications and key skills. Occasionally positions/roles may include additional non-recurrent compensation and will be addressed by the recruiter during the interview process. Job Description Enlighten is a cutting-edge technology company that is dedicated to developing innovative software solutions for our clients. We are currently seeking a talented and experienced Software Engineer to join our team to help build foundational AI integration frameworks. As a Software Engineer focused on AI Integration, you will be responsible for designing, developing, and implementing the "paved road" for AI at our company. Note: This role is not focused on training foundational AI models from scratch. Instead, you will take industry best practices, open-source capabilities, and large language models (LLMs), and build a secure framework that allows our other software capabilities to seamlessly leverage AI. You will work closely with other talented engineers to create secure, enterprise-grade AI software solutions, including Model Context Protocol (MCP) servers, reusable AI skills, strict safety guardrails, and other AI framework capabilities that meet the complex needs of our clients. In this role, you will have the opportunity to work with modern tools and technologies at the intersection of complex backend engineering and applied AI, and you will be encouraged to stay up-to-date with the latest developments in the field. You will be part of a dynamic and collaborative team that is committed to delivering high-quality, secure software solutions. If you are a self-motivated, creative, and detail-oriented software engineer who is passionate about treating AI as a complex software integration problem, we would love to hear from you. Level Essential Job Responsibilities Must have a strong working knowledge and experience developing Java based software capabilities. Design and develop foundational AI frameworks, including internal APIs, middleware, and routing layers that allow other systems to securely utilize AI capabilities. Build Model Context Protocol (MCP) servers and a library of reusable "skills" (function calling/tools) that enable AI models to safely interact with our internal databases, microservices, and external APIs. Implement strict enterprise AI guardrails, ensuring data privacy, sensitive data scrubbing, prompt injection defenses, and output validation to meet stringent security requirements. Should have an inquisitive nature, responsiveness, and excellent testing skills (including an interest in automated testing pipelines for non-deterministic AI outputs). Must also possess strong troubleshooting skills and the ability to work under pressure with multiple deadlines. Will work in a fast-paced, small business environment with our talented team. Seamlessly transition between hands-on execution and team guidance, treating mentorship and team leadership as inherent components of senior-level impact. Other duties as assigned. Minimum Qualifications Security Clearance - A current U.S. Government Security clearance is not requiredon day 1, but will be processed for one; U.S. citizenship required. Can also consider candidates with current Secret or TS level clearance. Must have at least 15 years of experience in Software Engineering, Modern Java Frameworks and Libraries (e.g. Spring, Guava) with a Bachelor's degree in related field; 13 years relevant experience with Masters in related field; or High School Diploma or equivalent and 19 years relevant experience. Applied AI Experience: Hands-on experience or a strong aptitude for integrating commercial LLM APIs (e.g., OpenAI, Anthropic) or open-source models into backend applications. Demonstrated understanding of modern applied AI concepts such as prompt engineering, function-calling/tool-use, and Retrieval-Augmented Generation (RAG). Demonstrated experience serving as a tech lead, mentor, or manager for engineering teams. Experience in designing enterprise APIs. Experience in RESTful web services. Experience in Microservices architecture. Experience in Object Oriented Programming (OOP) paradigms. Experience with the agile software lifecycle. Experience with configuration management tools (e.g. Git, Nexus, Maven). Comfortable working on a linux command line. Has a proven ability to learn quickly and works well both independently as well as in a team setting. Problem solving skills and ability to review information and compile data appropriately as needed. Must be able to work in a hybrid environment, spending an average of 1-2 days per week at our Columbia, MD office. Flexibility is essential to adapt to schedule changes as needed. Preferred Requirements Familiarity with Java-based AI integration frameworks (e.g., Spring AI, LangChain4j) or Python equivalents (LangChain, LlamaIndex). Experience with Vector Databases, semantic caching, and AI observability tools. Experience with NiFi, Kafka, AWS Infrastructure, and K8's. Experience in cloud based technologies (AWS, Azure). Experience in SQL databases (e.g., Postgres, MySQL), distributed databases, NoSQL databases. Scripting experience (particularly Python, given its prominence in the AI ecosystem) is a huge plus. Prior experience or familiarity with our Big Data Platform is a plus. Understanding of agile software development methodologies and use of standard software development tool suites. (e.g., JIRA, Confluence, Youtrack, Github, etc.) DoD 8140 / 8570 IAT Level II compliance certifications may be required in this position as directed by the customer. We have many more additional great benefits/perks that you can find on our website at .
Job Title: UX/UI Designer Role Overview: The UX/UI Designer will support a multi-year internal business transformation initiative, designing intuitive, modern user experiences for internal-facing web and mobile applications. The ideal candidate brings strong design system experience, advanced Figma skills, and the ability to thrive in a fast-paced, Agile environment. Key Responsibilities Create and maintain scalable design systems to ensure consistency across applications Develop wireframes, user flows, prototypes, and high-fidelity mockups for web and mobile platforms Design intuitive user journeys and workflows for complex, internal-facing systems Partner with developers, product managers, and stakeholders to implement and refine design solutions Ensure designs align with established visual standards while maintaining a clean, modern aesthetic Conduct user testing and incorporate feedback to iterate and improve designs Present design concepts, rationale, and user insights clearly to cross-functional teams Stay current on UX/UI trends, tools, and best practices and apply them proactively Required Skills & Qualifications 5-6 years of UX/UI design experience with a strong portfolio of web and mobile applications Proven experience creating and maintaining design systems 3+ years of expert-level proficiency in Figma, including auto layout, nested components, and shared libraries Strong experience building wireframes, user flows, and interactive prototypes Experience working in Agile environments and fast-paced delivery teams Strong communication skills with the ability to clearly articulate design decisions Preferred / Bonus Qualifications Familiarity with usability testing tools and methodologies Knowledge of HTML/CSS Experience collaborating closely with engineering teams Core Competencies Clean, user-centric design aesthetic with strong attention to detail Creative problem-solving and systems thinking Ability to manage multiple projects and priorities simultaneously Strong collaboration and stakeholder management skills Vaco by Highspring values a diverse workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.
05/26/2026
Full time
Job Title: UX/UI Designer Role Overview: The UX/UI Designer will support a multi-year internal business transformation initiative, designing intuitive, modern user experiences for internal-facing web and mobile applications. The ideal candidate brings strong design system experience, advanced Figma skills, and the ability to thrive in a fast-paced, Agile environment. Key Responsibilities Create and maintain scalable design systems to ensure consistency across applications Develop wireframes, user flows, prototypes, and high-fidelity mockups for web and mobile platforms Design intuitive user journeys and workflows for complex, internal-facing systems Partner with developers, product managers, and stakeholders to implement and refine design solutions Ensure designs align with established visual standards while maintaining a clean, modern aesthetic Conduct user testing and incorporate feedback to iterate and improve designs Present design concepts, rationale, and user insights clearly to cross-functional teams Stay current on UX/UI trends, tools, and best practices and apply them proactively Required Skills & Qualifications 5-6 years of UX/UI design experience with a strong portfolio of web and mobile applications Proven experience creating and maintaining design systems 3+ years of expert-level proficiency in Figma, including auto layout, nested components, and shared libraries Strong experience building wireframes, user flows, and interactive prototypes Experience working in Agile environments and fast-paced delivery teams Strong communication skills with the ability to clearly articulate design decisions Preferred / Bonus Qualifications Familiarity with usability testing tools and methodologies Knowledge of HTML/CSS Experience collaborating closely with engineering teams Core Competencies Clean, user-centric design aesthetic with strong attention to detail Creative problem-solving and systems thinking Ability to manage multiple projects and priorities simultaneously Strong collaboration and stakeholder management skills Vaco by Highspring values a diverse workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.
Job description: - Position : Data Scientists - 1 Tech Lead a Headcount: 1 Salary range: 130-140 K ? AI/ML Lead Engineer (8+ yrs Years Experience) ? Key Responsibilities Full ML Lifecycle Management: Drive projects from initial ideation to production deployment, including data pipeline development, model training, validation, and serving. LLM & Agentic Development: Design, implement, and optimize solutions utilizing Large Language Models (LLMs) and developing sophisticated Agentic AI systems to solve complex business problems. Platform Expertise: Leverage and integrate core generative AI platforms, including Gemini and Amazon Bedrock , to build scalable and efficient solutions. MLOps & Tools: Implement MLOps best practices, utilizing tools like MLFlow for experiment tracking, model versioning, and pipeline orchestration. Quality Assurance: Develop and execute comprehensive testing strategies for LLM applications, including utilizing frameworks like DeepEval for prompt engineering and model output quality. Analytical Skill: Apply strong analytical skills to evaluate model performance, diagnose issues, and iterate on solutions to achieve maximum business impact. Collaboration: Work closely with cross-functional teams (data scientists, product managers, and software engineers) to define requirements and deliver integrated AI features. ? Required Qualifications Experience: 8+ years of professional experience in Machine Learning Engineering, AI Development, or a closely related field. Education: Master's degree in Computer Science, Data Science, Engineering, or a quantitative field. Technical Proficiency: Expertise in Python and core ML/Data Science libraries (e.g., PyTorch, TensorFlow, Scikit-learn). Proven experience in deploying models on major cloud platforms (GCP, AWS, or Azure). Deep understanding of the architecture and fine-tuning of Large Language Models. Domain Knowledge: Practical experience with MLOps tools (e.g., MLFlow ) and validation frameworks (e.g., DeepEval ). Problem Solving: Demonstrated ability to apply analytical skills to complex, ambiguous problems and translate insights into actionable engineering solutions. Preferred Qualifications Hands-on experience developing applications or services using Google's Gemini API or models. Direct experience with AWS services related to AI/ML, particularly Amazon Bedrock . Experience in building and managing multi-step, reasoning-based Agentic AI systems. Prior experience in optimizing models for latency and cost efficiency in a production environment. Position : AI ML Engineer Headcount: 3 Salary range: 110-120 K ? AI/ML Engineer - Mid-Level (7+ Years Experience) Overview We are seeking an innovative and results-oriented Mid-Level AI/ML Engineer to join our dynamic team. This role is crucial for transforming Client concepts into robust, production-ready AI solutions. The ideal candidate possesses a strong background in Machine Learning engineering, extensive experience with cutting-edge LLMs and cloud-based AI services, and a commitment to maintaining high-quality, responsible AI systems. ? Key Responsibilities Full ML Lifecycle Management: Drive projects from initial ideation to production deployment, including data pipeline development, model training, validation, and serving. LLM & Agentic Development: Design, implement, and optimize solutions utilizing Large Language Models (LLMs) and developing sophisticated Agentic AI systems to solve complex business problems. Platform Expertise: Leverage and integrate core generative AI platforms, including Gemini and Amazon Bedrock , to build scalable and efficient solutions. MLOps & Tools: Implement MLOps best practices, utilizing tools like MLFlow for experiment tracking, model versioning, and pipeline orchestration. Quality Assurance: Develop and execute comprehensive testing strategies for LLM applications, including utilizing frameworks like DeepEval for prompt engineering and model output quality. Analytical Skill: Apply strong analytical skills to evaluate model performance, diagnose issues, and iterate on solutions to achieve maximum business impact. Collaboration: Work closely with cross-functional teams (data scientists, product managers, and software engineers) to define requirements and deliver integrated AI features. ? Required Qualifications Experience: 4-7 years of professional experience in Machine Learning Engineering, AI Development, or a closely related field. Education: Master's degree in Computer Science, Data Science, Engineering, or a quantitative field. Technical Proficiency: Expertise in Python and core ML/Data Science libraries (e.g., PyTorch, TensorFlow, Scikit-learn). Proven experience in deploying models on major cloud platforms (GCP, AWS, or Azure). Deep understanding of the architecture and fine-tuning of Large Language Models. Domain Knowledge: Practical experience with MLOps tools (e.g., MLFlow ) and validation frameworks (e.g., DeepEval ). Problem Solving: Demonstrated ability to apply analytical skills to complex, ambiguous problems and translate insights into actionable engineering solutions. Preferred Qualifications Hands-on experience developing applications or services using Google's Gemini API or models. Direct experience with AWS services related to AI/ML, particularly Amazon Bedrock . Experience in building and managing multi-step, reasoning-based Agentic AI systems. Prior experience in optimizing models for latency and cost efficiency in a production environment. Additional Job Details: About Tanisha Systems, Inc. Tanisha Systems, founded in 2002 in Massachusetts- , is a leading provider of Custom Application Development and end-to-end IT Services to clients globally. We use a client-centric engagement model that combines local on-site and off-site resources with the cost, global expertise and quality advantages of off-shore operations. We deliver Custom Application Development, Application Modernization, Business Process Outsourcing and Professional IT Services from office locations in and . Tanisha Systems services clients in Government, Banking & Financial Markets, Insurance, Healthcare, Retail & Consumer Goods, Energy & Utilities, Life Sciences, Telecom, Manufacturing and Transportation Industries around the globe. Our engagement model provides a flexible operational environment that empowers our clients with the right levels of control. Want to read more about Tanisha Systems? Visit us at Website Open Jobs
05/26/2026
Full time
Job description: - Position : Data Scientists - 1 Tech Lead a Headcount: 1 Salary range: 130-140 K ? AI/ML Lead Engineer (8+ yrs Years Experience) ? Key Responsibilities Full ML Lifecycle Management: Drive projects from initial ideation to production deployment, including data pipeline development, model training, validation, and serving. LLM & Agentic Development: Design, implement, and optimize solutions utilizing Large Language Models (LLMs) and developing sophisticated Agentic AI systems to solve complex business problems. Platform Expertise: Leverage and integrate core generative AI platforms, including Gemini and Amazon Bedrock , to build scalable and efficient solutions. MLOps & Tools: Implement MLOps best practices, utilizing tools like MLFlow for experiment tracking, model versioning, and pipeline orchestration. Quality Assurance: Develop and execute comprehensive testing strategies for LLM applications, including utilizing frameworks like DeepEval for prompt engineering and model output quality. Analytical Skill: Apply strong analytical skills to evaluate model performance, diagnose issues, and iterate on solutions to achieve maximum business impact. Collaboration: Work closely with cross-functional teams (data scientists, product managers, and software engineers) to define requirements and deliver integrated AI features. ? Required Qualifications Experience: 8+ years of professional experience in Machine Learning Engineering, AI Development, or a closely related field. Education: Master's degree in Computer Science, Data Science, Engineering, or a quantitative field. Technical Proficiency: Expertise in Python and core ML/Data Science libraries (e.g., PyTorch, TensorFlow, Scikit-learn). Proven experience in deploying models on major cloud platforms (GCP, AWS, or Azure). Deep understanding of the architecture and fine-tuning of Large Language Models. Domain Knowledge: Practical experience with MLOps tools (e.g., MLFlow ) and validation frameworks (e.g., DeepEval ). Problem Solving: Demonstrated ability to apply analytical skills to complex, ambiguous problems and translate insights into actionable engineering solutions. Preferred Qualifications Hands-on experience developing applications or services using Google's Gemini API or models. Direct experience with AWS services related to AI/ML, particularly Amazon Bedrock . Experience in building and managing multi-step, reasoning-based Agentic AI systems. Prior experience in optimizing models for latency and cost efficiency in a production environment. Position : AI ML Engineer Headcount: 3 Salary range: 110-120 K ? AI/ML Engineer - Mid-Level (7+ Years Experience) Overview We are seeking an innovative and results-oriented Mid-Level AI/ML Engineer to join our dynamic team. This role is crucial for transforming Client concepts into robust, production-ready AI solutions. The ideal candidate possesses a strong background in Machine Learning engineering, extensive experience with cutting-edge LLMs and cloud-based AI services, and a commitment to maintaining high-quality, responsible AI systems. ? Key Responsibilities Full ML Lifecycle Management: Drive projects from initial ideation to production deployment, including data pipeline development, model training, validation, and serving. LLM & Agentic Development: Design, implement, and optimize solutions utilizing Large Language Models (LLMs) and developing sophisticated Agentic AI systems to solve complex business problems. Platform Expertise: Leverage and integrate core generative AI platforms, including Gemini and Amazon Bedrock , to build scalable and efficient solutions. MLOps & Tools: Implement MLOps best practices, utilizing tools like MLFlow for experiment tracking, model versioning, and pipeline orchestration. Quality Assurance: Develop and execute comprehensive testing strategies for LLM applications, including utilizing frameworks like DeepEval for prompt engineering and model output quality. Analytical Skill: Apply strong analytical skills to evaluate model performance, diagnose issues, and iterate on solutions to achieve maximum business impact. Collaboration: Work closely with cross-functional teams (data scientists, product managers, and software engineers) to define requirements and deliver integrated AI features. ? Required Qualifications Experience: 4-7 years of professional experience in Machine Learning Engineering, AI Development, or a closely related field. Education: Master's degree in Computer Science, Data Science, Engineering, or a quantitative field. Technical Proficiency: Expertise in Python and core ML/Data Science libraries (e.g., PyTorch, TensorFlow, Scikit-learn). Proven experience in deploying models on major cloud platforms (GCP, AWS, or Azure). Deep understanding of the architecture and fine-tuning of Large Language Models. Domain Knowledge: Practical experience with MLOps tools (e.g., MLFlow ) and validation frameworks (e.g., DeepEval ). Problem Solving: Demonstrated ability to apply analytical skills to complex, ambiguous problems and translate insights into actionable engineering solutions. Preferred Qualifications Hands-on experience developing applications or services using Google's Gemini API or models. Direct experience with AWS services related to AI/ML, particularly Amazon Bedrock . Experience in building and managing multi-step, reasoning-based Agentic AI systems. Prior experience in optimizing models for latency and cost efficiency in a production environment. Additional Job Details: About Tanisha Systems, Inc. Tanisha Systems, founded in 2002 in Massachusetts- , is a leading provider of Custom Application Development and end-to-end IT Services to clients globally. We use a client-centric engagement model that combines local on-site and off-site resources with the cost, global expertise and quality advantages of off-shore operations. We deliver Custom Application Development, Application Modernization, Business Process Outsourcing and Professional IT Services from office locations in and . Tanisha Systems services clients in Government, Banking & Financial Markets, Insurance, Healthcare, Retail & Consumer Goods, Energy & Utilities, Life Sciences, Telecom, Manufacturing and Transportation Industries around the globe. Our engagement model provides a flexible operational environment that empowers our clients with the right levels of control. Want to read more about Tanisha Systems? Visit us at Website Open Jobs
