Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal Applied AI Engineer Location: Remote (US) Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Principal Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity AI systems - spanning code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability - set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. WHAT YOU'LL DO Develop Clean Software: Architect, build, and optimize high-performance production LLM systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase - and the AI systems built on it - cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier and AI-powered application layers - from feature scoping through implementation. Build prototypes to de-risk novel AI approaches and establish the standards others build on. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. REQUIRED QUALIFICATIONS Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Production LLM Systems: Deep hands-on experience designing and operating production LLM systems. AI Systems Expertise: Demonstrated expertise across code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Domain Expertise: Strong distributed-systems, API, security, and reliability foundations, with the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. PREFERRED QUALIFICATIONS Compilers & Program Analysis: Experience with compilers, program analysis, formal or executable specifications, or legacy modernization is strongly preferred. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $200,000-$350,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice
09/30/2026
Full time
Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal Applied AI Engineer Location: Remote (US) Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Principal Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity AI systems - spanning code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability - set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. WHAT YOU'LL DO Develop Clean Software: Architect, build, and optimize high-performance production LLM systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase - and the AI systems built on it - cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier and AI-powered application layers - from feature scoping through implementation. Build prototypes to de-risk novel AI approaches and establish the standards others build on. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. REQUIRED QUALIFICATIONS Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Production LLM Systems: Deep hands-on experience designing and operating production LLM systems. AI Systems Expertise: Demonstrated expertise across code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Domain Expertise: Strong distributed-systems, API, security, and reliability foundations, with the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. PREFERRED QUALIFICATIONS Compilers & Program Analysis: Experience with compilers, program analysis, formal or executable specifications, or legacy modernization is strongly preferred. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $200,000-$350,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice
Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Location: Remote (US) Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent . click apply for full job details
09/30/2026
Full time
Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Location: Remote (US) Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent . click apply for full job details
Job Description Job Description Millennium NYC 5 days a week in office 200-225K Base plus bonus (total comp-400-500K) Technical Lead Market Data The SPEED Market Data team seeks a hands-on Technical Lead who will own and drive a critical workstream focused on architecting, implementing, monitoring, and supporting low-latency C++ systems that are robust, resilient, accurate, stable, and blindingly fast. By leading the design and evolution of this high-performance infrastructure, you will help position MLP as a leader in quantitative trading. You will shape the future of this industry while working alongside other exceptional engineers and strategists to solve some of the most significant engineering problems in the world. We are looking for a strong technical leader with financial markets technology experience and real-time market data expertise to design, build, and support our global real-time (both low-latency and non-latency-sensitive) market data platform. This role emphasizes technical leadership, architectural ownership, and cross-team coordination rather than people management. The successful candidate will be comfortable owning a workstream end-to-end-covering design, implementation, monitoring, support, and stakeholder management-while ensuring stability of the existing environment and driving platform improvements. Principal Responsibilities Act as the technical owner for a major market data workstream, setting technical direction, defining architecture, and driving execution across the full lifecycle. Collaborate with hardware and software teams across divisions to design and build real-time market data processing and distribution systems. Lead and drive new technical initiatives for the team, including evaluating technologies, defining standards, and establishing best practices. Design and develop systems, interfaces, and tools for historical market data and trading simulations that increase research productivity. Architect and implement components of an enterprise market data platform, including components for caching, aggregation, conflation and value-added data enrichment. Optimize platform performance using network and systems programming, and advanced low-latency techniques (CPU, NIC, kernel, and application-level tuning). Lead the design and maintenance of automated test and benchmark frameworks, and tools for risk management, performance tracking, and system validation. Provide technical leadership for the support and operation of both enterprise real-time market data environments, including coordinating internal, vendor, and exchange-driven changes. Design and engineer components to automate support and management of the market data platform, including monitoring, real-time and historical metrics collection/visualization, and self-service administrative/user tools. Serve as a primary technical liaison for users of the market data environment (Portfolio Managers, trading desks, and core technology teams), translating requirements into robust technical solutions. Lead the enhancement of processes and workflows for operating the market data platform (release/deployment, incident management and remediation, exchange notification handling, defining and enforcing SLAs). Mentor and influence other engineers through code reviews, design reviews, and hands-on guidance, fostering a culture of technical excellence and accountability. Qualifications / Skills Required Degree in Computer Science or a related field with a strong background in data structures, algorithms, and object-oriented programming in modern C++. Deep understanding of Linux system internals and networking, especially in low-latency and high-throughput environments. Strong knowledge of CPU architecture and the ability to leverage CPU capabilities for performance optimization. Demonstrated experience acting as a technical lead or senior engineer owning complex systems or workstreams end-to-end (design, delivery, and operations). Able to prioritize and make trade-offs in a fast-moving, high-pressure, constantly changing environment; strong sense of urgency, ownership, and follow-through. Strong belief in and practice of extreme ownership, with a track record of taking accountability for systems in production. Effective communication and stakeholder management skills: able to work closely with business and technology users, understand their needs, and drive appropriate technical solutions. Experience building solutions on cloud environments such as GCP and AWS. Knowledge of additional programming languages such as Java, Python, or scripting (Perl, shell). Technical background in application development on complex market data systems (e.g., Bloomberg, Thomson Reuters, etc.). Experience supporting market data environments within a global organization, including internally developed DMA feed handlers and distribution infrastructure. Strong understanding of market data concepts and functionality, including data models (fields/messages), protocols (e.g., snapshot + delta), order book representations (L1/L2/L3), recovery, and reliability. Hands-on Site Reliability Engineering or DevOps experience, including system administration, automation, measurement, and release/deployment management. Experience with monitoring, metrics, and command/control tooling for distributed market data platforms, with the ability to evaluate existing solutions and drive enhancements across development and operations. Ability to operate with a high level of thoroughness and attention to detail, demonstrating strong ownership of deliverables and production systems.
09/29/2026
Full time
Job Description Job Description Millennium NYC 5 days a week in office 200-225K Base plus bonus (total comp-400-500K) Technical Lead Market Data The SPEED Market Data team seeks a hands-on Technical Lead who will own and drive a critical workstream focused on architecting, implementing, monitoring, and supporting low-latency C++ systems that are robust, resilient, accurate, stable, and blindingly fast. By leading the design and evolution of this high-performance infrastructure, you will help position MLP as a leader in quantitative trading. You will shape the future of this industry while working alongside other exceptional engineers and strategists to solve some of the most significant engineering problems in the world. We are looking for a strong technical leader with financial markets technology experience and real-time market data expertise to design, build, and support our global real-time (both low-latency and non-latency-sensitive) market data platform. This role emphasizes technical leadership, architectural ownership, and cross-team coordination rather than people management. The successful candidate will be comfortable owning a workstream end-to-end-covering design, implementation, monitoring, support, and stakeholder management-while ensuring stability of the existing environment and driving platform improvements. Principal Responsibilities Act as the technical owner for a major market data workstream, setting technical direction, defining architecture, and driving execution across the full lifecycle. Collaborate with hardware and software teams across divisions to design and build real-time market data processing and distribution systems. Lead and drive new technical initiatives for the team, including evaluating technologies, defining standards, and establishing best practices. Design and develop systems, interfaces, and tools for historical market data and trading simulations that increase research productivity. Architect and implement components of an enterprise market data platform, including components for caching, aggregation, conflation and value-added data enrichment. Optimize platform performance using network and systems programming, and advanced low-latency techniques (CPU, NIC, kernel, and application-level tuning). Lead the design and maintenance of automated test and benchmark frameworks, and tools for risk management, performance tracking, and system validation. Provide technical leadership for the support and operation of both enterprise real-time market data environments, including coordinating internal, vendor, and exchange-driven changes. Design and engineer components to automate support and management of the market data platform, including monitoring, real-time and historical metrics collection/visualization, and self-service administrative/user tools. Serve as a primary technical liaison for users of the market data environment (Portfolio Managers, trading desks, and core technology teams), translating requirements into robust technical solutions. Lead the enhancement of processes and workflows for operating the market data platform (release/deployment, incident management and remediation, exchange notification handling, defining and enforcing SLAs). Mentor and influence other engineers through code reviews, design reviews, and hands-on guidance, fostering a culture of technical excellence and accountability. Qualifications / Skills Required Degree in Computer Science or a related field with a strong background in data structures, algorithms, and object-oriented programming in modern C++. Deep understanding of Linux system internals and networking, especially in low-latency and high-throughput environments. Strong knowledge of CPU architecture and the ability to leverage CPU capabilities for performance optimization. Demonstrated experience acting as a technical lead or senior engineer owning complex systems or workstreams end-to-end (design, delivery, and operations). Able to prioritize and make trade-offs in a fast-moving, high-pressure, constantly changing environment; strong sense of urgency, ownership, and follow-through. Strong belief in and practice of extreme ownership, with a track record of taking accountability for systems in production. Effective communication and stakeholder management skills: able to work closely with business and technology users, understand their needs, and drive appropriate technical solutions. Experience building solutions on cloud environments such as GCP and AWS. Knowledge of additional programming languages such as Java, Python, or scripting (Perl, shell). Technical background in application development on complex market data systems (e.g., Bloomberg, Thomson Reuters, etc.). Experience supporting market data environments within a global organization, including internally developed DMA feed handlers and distribution infrastructure. Strong understanding of market data concepts and functionality, including data models (fields/messages), protocols (e.g., snapshot + delta), order book representations (L1/L2/L3), recovery, and reliability. Hands-on Site Reliability Engineering or DevOps experience, including system administration, automation, measurement, and release/deployment management. Experience with monitoring, metrics, and command/control tooling for distributed market data platforms, with the ability to evaluate existing solutions and drive enhancements across development and operations. Ability to operate with a high level of thoroughness and attention to detail, demonstrating strong ownership of deliverables and production systems.
Job Description Job Description Overview Hanson, an integrated marketing agency focused on technology-enabled solutions, is seeking a Development Manager to provide technical leadership for complex website and digital projects while helping lead and grow a team of developers. This is a hands-on leadership role, but not primarily a coding role. The Development Manager serves as the technical/build lead on assigned projects, helping teams define the right technical approach, break complex work into actionable plans, establish clear expectations and deliver high-quality work within project commitments. This person will work closely with project managers to drive development progress, identify and resolve technical challenges, and help the team stay accountable to process, timelines and budgets. The Development Manager will also play an important client-facing role, contributing to discovery, solution architecture, estimation and statements of work, serving as a trusted technical advisor throughout project delivery. They will directly manage a small team of developers while providing technical guidance and leadership to additional internal and contract developers based on project needs. The ideal candidate combines strong .NET and web-development expertise with the communication, judgment and leadership skills to make the developers around them more effective. This position reports to our Managing Director of Development. Responsibilities & Expectations Technical & Build Leadership Serve as technical/build lead for complex website and digital projects, taking responsibility for the overall technical approach and development execution. Lead technical planning by breaking down complex work, defining requirements and dependencies, estimating effort, assigning work and establishing clear definitions of done. Direct and support developers throughout delivery, ensuring they understand priorities, expectations and project commitments. Monitor development progress and proactively identify risks, blockers and gaps before they affect project timelines or budgets. Troubleshoot alongside developers when needed, helping teams work through technical challenges and make sound decisions without becoming a bottleneck. Establish appropriate technical quality controls, including code review, testing and release-readiness practices, either directly or by ensuring the right team members are accountable for them. Make architecture and implementation decisions for assigned projects, collaborating with senior technical leaders when appropriate. Maintain enough hands-on technical depth to review solutions, evaluate code and step into development work when necessary, while focusing primarily on making the broader team more effective. Project Delivery & Collaboration Partner closely with Project Managers to deliver development work on time, on budget and within scope. Provide the technical leadership and authority necessary to establish clear expectations with developers and hold them accountable to project commitments. Work with Project Managers to surface risks early, evaluate options and develop practical mitigation strategies. Help determine how development work should be structured, sequenced and staffed based on project needs, team capacity and individual capabilities. Coordinate effectively with project management, design, strategy, account management and other disciplines to ensure technical execution supports the broader project and client objectives. Direct the work of contractors and external development partners when appropriate, setting expectations and ensuring their work meets Hanson standards. Client, Discovery & Pre-Sales Leadership Serve as a senior technical presence with clients, communicating complex technology considerations clearly to both technical and non-technical audiences. Lead or participate in technical discovery, helping teams understand client needs, existing technology environments, constraints and opportunities. Develop and recommend technical approaches and architectures that balance client objectives, user needs, project scope, budget and long-term maintainability. Partner with Account Management, Project Management and agency leadership to scope and estimate development work and contribute technical requirements, assumptions and dependencies to statements of work. Participate in business development conversations and presentations when senior technical expertise is needed. Build credibility and trusted relationships with client technology stakeholders and confidently guide conversations around technical decisions and tradeoffs. Team Leadership & People Management Directly manage a small team of developers, with responsibility for regular 1:1s, coaching, feedback and professional development. Lead quarterly and annual performance-management activities for direct reports and help identify meaningful opportunities for growth. Set clear expectations and goals for direct reports and actively address performance issues and development needs in real time. Participate in recruiting, interviewing, hiring and onboarding development team members. Help foster a development culture built around collaboration, accountability, continuous learning and proactive communication. Partner with development leadership to establish and evolve technical standards, processes and best practices that improve quality, consistency and efficiency. Proactively evaluate and adopt AI tools and workflows that improve development efficiency, quality and team effectiveness. Experience & Qualifications Demonstrated experience providing technical leadership for web development teams, including planning work, directing developers and driving technical delivery. Strong professional experience with .NET technologies and modern web application development. Experience architecting, building and supporting complex websites and web applications. Experience with enterprise content management systems; experience with platforms such as Optimizely and Sitefinity is a strong plus. Broad understanding of modern front-end, back-end, API, integration, data and hosting considerations, with particular strength in back-end/.NET development. Demonstrated people-management or team-leadership experience, including coaching, feedback, accountability and professional development. Ability to lead multiple projects and priorities simultaneously while maintaining visibility into progress, risks and team needs. Agency, consulting or professional-services experience is strongly preferred; candidates from development firms or enterprise organizations with comparable client, delivery and leadership experience will also be considered. Experience directing contractors, external development partners or distributed development teams is a plus. Willingness to travel for client meetings, team collaboration and other business needs as required. We value demonstrated technical leadership, judgment and the ability to make teams successful over a specific number of years of experience or particular degree. What We Offer Hybrid work environment, with a preference for candidates within commuting distance of Toledo, OH Competitive salary Medical, dental and vision coverage Group life insurance Short-term and long-term disability insurance 401(k) + Employer Match Paid holidays, including paid time off between Christmas Eve and New Year's Day Paid birthday day off Flexible spending account (FSA) and Health Reimbursement Arrangement (HRA) Hanson is an equal opportunity employer. We hire qualified professionals without regard to race, color, religion, sex, national origin, disability, sexual orientation, gender, gender identity, age or any other status protected by applicable law. Company Description Hanson is a digital agency that partners with client organizations to design, build and optimize digital experiences that drive measurable business results. Company Description Hanson is a digital agency that partners with client organizations to design, build and optimize digital experiences that drive measurable business results.
09/29/2026
Full time
Job Description Job Description Overview Hanson, an integrated marketing agency focused on technology-enabled solutions, is seeking a Development Manager to provide technical leadership for complex website and digital projects while helping lead and grow a team of developers. This is a hands-on leadership role, but not primarily a coding role. The Development Manager serves as the technical/build lead on assigned projects, helping teams define the right technical approach, break complex work into actionable plans, establish clear expectations and deliver high-quality work within project commitments. This person will work closely with project managers to drive development progress, identify and resolve technical challenges, and help the team stay accountable to process, timelines and budgets. The Development Manager will also play an important client-facing role, contributing to discovery, solution architecture, estimation and statements of work, serving as a trusted technical advisor throughout project delivery. They will directly manage a small team of developers while providing technical guidance and leadership to additional internal and contract developers based on project needs. The ideal candidate combines strong .NET and web-development expertise with the communication, judgment and leadership skills to make the developers around them more effective. This position reports to our Managing Director of Development. Responsibilities & Expectations Technical & Build Leadership Serve as technical/build lead for complex website and digital projects, taking responsibility for the overall technical approach and development execution. Lead technical planning by breaking down complex work, defining requirements and dependencies, estimating effort, assigning work and establishing clear definitions of done. Direct and support developers throughout delivery, ensuring they understand priorities, expectations and project commitments. Monitor development progress and proactively identify risks, blockers and gaps before they affect project timelines or budgets. Troubleshoot alongside developers when needed, helping teams work through technical challenges and make sound decisions without becoming a bottleneck. Establish appropriate technical quality controls, including code review, testing and release-readiness practices, either directly or by ensuring the right team members are accountable for them. Make architecture and implementation decisions for assigned projects, collaborating with senior technical leaders when appropriate. Maintain enough hands-on technical depth to review solutions, evaluate code and step into development work when necessary, while focusing primarily on making the broader team more effective. Project Delivery & Collaboration Partner closely with Project Managers to deliver development work on time, on budget and within scope. Provide the technical leadership and authority necessary to establish clear expectations with developers and hold them accountable to project commitments. Work with Project Managers to surface risks early, evaluate options and develop practical mitigation strategies. Help determine how development work should be structured, sequenced and staffed based on project needs, team capacity and individual capabilities. Coordinate effectively with project management, design, strategy, account management and other disciplines to ensure technical execution supports the broader project and client objectives. Direct the work of contractors and external development partners when appropriate, setting expectations and ensuring their work meets Hanson standards. Client, Discovery & Pre-Sales Leadership Serve as a senior technical presence with clients, communicating complex technology considerations clearly to both technical and non-technical audiences. Lead or participate in technical discovery, helping teams understand client needs, existing technology environments, constraints and opportunities. Develop and recommend technical approaches and architectures that balance client objectives, user needs, project scope, budget and long-term maintainability. Partner with Account Management, Project Management and agency leadership to scope and estimate development work and contribute technical requirements, assumptions and dependencies to statements of work. Participate in business development conversations and presentations when senior technical expertise is needed. Build credibility and trusted relationships with client technology stakeholders and confidently guide conversations around technical decisions and tradeoffs. Team Leadership & People Management Directly manage a small team of developers, with responsibility for regular 1:1s, coaching, feedback and professional development. Lead quarterly and annual performance-management activities for direct reports and help identify meaningful opportunities for growth. Set clear expectations and goals for direct reports and actively address performance issues and development needs in real time. Participate in recruiting, interviewing, hiring and onboarding development team members. Help foster a development culture built around collaboration, accountability, continuous learning and proactive communication. Partner with development leadership to establish and evolve technical standards, processes and best practices that improve quality, consistency and efficiency. Proactively evaluate and adopt AI tools and workflows that improve development efficiency, quality and team effectiveness. Experience & Qualifications Demonstrated experience providing technical leadership for web development teams, including planning work, directing developers and driving technical delivery. Strong professional experience with .NET technologies and modern web application development. Experience architecting, building and supporting complex websites and web applications. Experience with enterprise content management systems; experience with platforms such as Optimizely and Sitefinity is a strong plus. Broad understanding of modern front-end, back-end, API, integration, data and hosting considerations, with particular strength in back-end/.NET development. Demonstrated people-management or team-leadership experience, including coaching, feedback, accountability and professional development. Ability to lead multiple projects and priorities simultaneously while maintaining visibility into progress, risks and team needs. Agency, consulting or professional-services experience is strongly preferred; candidates from development firms or enterprise organizations with comparable client, delivery and leadership experience will also be considered. Experience directing contractors, external development partners or distributed development teams is a plus. Willingness to travel for client meetings, team collaboration and other business needs as required. We value demonstrated technical leadership, judgment and the ability to make teams successful over a specific number of years of experience or particular degree. What We Offer Hybrid work environment, with a preference for candidates within commuting distance of Toledo, OH Competitive salary Medical, dental and vision coverage Group life insurance Short-term and long-term disability insurance 401(k) + Employer Match Paid holidays, including paid time off between Christmas Eve and New Year's Day Paid birthday day off Flexible spending account (FSA) and Health Reimbursement Arrangement (HRA) Hanson is an equal opportunity employer. We hire qualified professionals without regard to race, color, religion, sex, national origin, disability, sexual orientation, gender, gender identity, age or any other status protected by applicable law. Company Description Hanson is a digital agency that partners with client organizations to design, build and optimize digital experiences that drive measurable business results. Company Description Hanson is a digital agency that partners with client organizations to design, build and optimize digital experiences that drive measurable business results.
Job Description: We are seeking an experienced Information Security Engineer with strong Microsoft Windows infrastructure expertise to support the delivery of air traffic control systems to our customers. This role will focus on the implementation of Windows-based platforms to provide a secure environment for other Saab software to run in. The ideal candidate will have hands-on experience with Windows Deployment Service, Active Directory, Group Policy management, network design, and hardware/software integration. This position plays a key role in implementing and deploying air traffic control systems for customers, ensuring Windows environments are configured to support our software while meeting safety and security regulations. This role requires both an independent drive to troubleshoot implementation and the ability to work collaboratively with teammates to integrate various system components. Key Responsibilities Architecture Design: Develop, document, and maintain comprehensive security architectures, network designs, and cloud infrastructures Risk & Vulnerability Management: Evaluate deliverable systems to identify weaknesses, perform security reviews, and execute ethical hacks or penetration tests. Leadership & Guidance: Lead information technology analysts, security engineers, and deployment teams to coordinate effective security protocols and align projects with security guidelines Design, implement, and manage Group Policy Objects (GPOs) to enforce security configurations and organizational standards within customer environments. Configure, administer, and harden Windows Server and Windows workstation systems as part of security solution deployments. Implement and maintain Active Directory security configurations, including user/group management, OU structures, and policy enforcement. Design and implement role-based access control (RBAC) and least-privilege access models. Deploy, configure, and manage endpoint protection and antivirus solutions. Apply system hardening practices aligned with industry security frameworks and best practices. Perform security assessments of Windows environments and implement remediation actions. Assist in creating secure configurations, patch processes, and compliance with security policies. Document system configurations, security controls, and deployment procedures for customer environments. Provide technical guidance and knowledge transfer to customer stakeholders when appropriate. Compensation Range: $101,600 - $132,000 The compensation range provided is a general guideline. When extending an offer, Saab, Inc. considers factors including (but not limited to) the role and associated responsibilities, location, and market and business considerations, as well as the candidate's work experience, key skills, and education/training. Skills and Experience: Required Qualifications Bachelor's degree in Systems Engineering, Computer Science, Information Technology, Information Security, or a related field (or equivalent experience). 6+ years of experience administering and securing Microsoft Windows environments. Strong hands-on experience with PowerShell scripting and automation. Proven experience creating and managing Windows domains, including development of Group Policy Objects and Active Directory structures. Experience integrating third-party software into Windows environments. Hands-on experience with Windows Deployment Services. Solid understanding of Windows security architecture and system hardening techniques. Preferred Qualifications Experience with PXE boot and BIOS configuration. Experience implementing role-based access control and identity management practices. Experience performing security assessments and remediation. Familiarity with security monitoring tools and SIEM platforms. Knowledge of security frameworks such as NIST, CIS Benchmarks, or ISO 27001. Relevant certifications such as: CompTIA Security+ CISSP Microsoft security or identity certifications GIAC certifications Key Skills Hardware/operating system/software integration Customer-facing technical delivery and documentation Windows security architecture Active Directory administration Group Policy design and implementation Endpoint security and antivirus management Identity and access management (IAM) System hardening and vulnerability remediation Security assessments and remediation Desired Tool Experience Experience with the following tools and applications is highly desirable. Microsoft Hyper-V Virtualization Splunk PDQ RSA Authentication Manager Citizenship Requirements: Must be a U.S. citizen. Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information. Drug-Free Workplaces: Saab is a federal government contractor and adheres to policies and programs necessary for sustaining drug-free workplaces. As a condition of employment, candidates will be required to pass a pre-employment drug screen. Benefits: Saab provides an excellent working environment offering professional growth opportunities, competitive wages, work-life balance, a business casual atmosphere and comprehensive benefits. Highlights include: Medical, vision, and dental insurance for employees and dependents Generous paid time off, including 8 designated holidays 401(k) with employer contributions Tuition assistance and student loan assistance Wellness and employee assistance resources Employee stock purchase opportunities Short-term and long-term disability coverage About Us: Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world. In the U.S., Saab delivers advanced technology and systems, supporting the U.S. Armed Forces and the Federal Aviation Administration, as well as international and commercial partners. Headquartered in Syracuse, New York, the company has business units and local employees in ten U.S. locations. Saab is a company where we see diversity as an asset and offer unlimited opportunities for advancing in your career. We are also a company that respects each person's needs and encourage employees to lead a balanced, rewarding life beyond work. Saab values diversity and is an Affirmative Action employer for protected veterans and individuals with disabilities. Saab is an Equal Employment Opportunity employer, all qualified individuals are encouraged to apply and will be considered for employment without regard to race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, age, veteran, disability status, or any other federal, state, or locally protected category.
09/29/2026
Full time
Job Description: We are seeking an experienced Information Security Engineer with strong Microsoft Windows infrastructure expertise to support the delivery of air traffic control systems to our customers. This role will focus on the implementation of Windows-based platforms to provide a secure environment for other Saab software to run in. The ideal candidate will have hands-on experience with Windows Deployment Service, Active Directory, Group Policy management, network design, and hardware/software integration. This position plays a key role in implementing and deploying air traffic control systems for customers, ensuring Windows environments are configured to support our software while meeting safety and security regulations. This role requires both an independent drive to troubleshoot implementation and the ability to work collaboratively with teammates to integrate various system components. Key Responsibilities Architecture Design: Develop, document, and maintain comprehensive security architectures, network designs, and cloud infrastructures Risk & Vulnerability Management: Evaluate deliverable systems to identify weaknesses, perform security reviews, and execute ethical hacks or penetration tests. Leadership & Guidance: Lead information technology analysts, security engineers, and deployment teams to coordinate effective security protocols and align projects with security guidelines Design, implement, and manage Group Policy Objects (GPOs) to enforce security configurations and organizational standards within customer environments. Configure, administer, and harden Windows Server and Windows workstation systems as part of security solution deployments. Implement and maintain Active Directory security configurations, including user/group management, OU structures, and policy enforcement. Design and implement role-based access control (RBAC) and least-privilege access models. Deploy, configure, and manage endpoint protection and antivirus solutions. Apply system hardening practices aligned with industry security frameworks and best practices. Perform security assessments of Windows environments and implement remediation actions. Assist in creating secure configurations, patch processes, and compliance with security policies. Document system configurations, security controls, and deployment procedures for customer environments. Provide technical guidance and knowledge transfer to customer stakeholders when appropriate. Compensation Range: $101,600 - $132,000 The compensation range provided is a general guideline. When extending an offer, Saab, Inc. considers factors including (but not limited to) the role and associated responsibilities, location, and market and business considerations, as well as the candidate's work experience, key skills, and education/training. Skills and Experience: Required Qualifications Bachelor's degree in Systems Engineering, Computer Science, Information Technology, Information Security, or a related field (or equivalent experience). 6+ years of experience administering and securing Microsoft Windows environments. Strong hands-on experience with PowerShell scripting and automation. Proven experience creating and managing Windows domains, including development of Group Policy Objects and Active Directory structures. Experience integrating third-party software into Windows environments. Hands-on experience with Windows Deployment Services. Solid understanding of Windows security architecture and system hardening techniques. Preferred Qualifications Experience with PXE boot and BIOS configuration. Experience implementing role-based access control and identity management practices. Experience performing security assessments and remediation. Familiarity with security monitoring tools and SIEM platforms. Knowledge of security frameworks such as NIST, CIS Benchmarks, or ISO 27001. Relevant certifications such as: CompTIA Security+ CISSP Microsoft security or identity certifications GIAC certifications Key Skills Hardware/operating system/software integration Customer-facing technical delivery and documentation Windows security architecture Active Directory administration Group Policy design and implementation Endpoint security and antivirus management Identity and access management (IAM) System hardening and vulnerability remediation Security assessments and remediation Desired Tool Experience Experience with the following tools and applications is highly desirable. Microsoft Hyper-V Virtualization Splunk PDQ RSA Authentication Manager Citizenship Requirements: Must be a U.S. citizen. Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information. Drug-Free Workplaces: Saab is a federal government contractor and adheres to policies and programs necessary for sustaining drug-free workplaces. As a condition of employment, candidates will be required to pass a pre-employment drug screen. Benefits: Saab provides an excellent working environment offering professional growth opportunities, competitive wages, work-life balance, a business casual atmosphere and comprehensive benefits. Highlights include: Medical, vision, and dental insurance for employees and dependents Generous paid time off, including 8 designated holidays 401(k) with employer contributions Tuition assistance and student loan assistance Wellness and employee assistance resources Employee stock purchase opportunities Short-term and long-term disability coverage About Us: Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world. In the U.S., Saab delivers advanced technology and systems, supporting the U.S. Armed Forces and the Federal Aviation Administration, as well as international and commercial partners. Headquartered in Syracuse, New York, the company has business units and local employees in ten U.S. locations. Saab is a company where we see diversity as an asset and offer unlimited opportunities for advancing in your career. We are also a company that respects each person's needs and encourage employees to lead a balanced, rewarding life beyond work. Saab values diversity and is an Affirmative Action employer for protected veterans and individuals with disabilities. Saab is an Equal Employment Opportunity employer, all qualified individuals are encouraged to apply and will be considered for employment without regard to race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, age, veteran, disability status, or any other federal, state, or locally protected category.
AI Engineer 4 (MLX) 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. What You'll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 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, CUDA, 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 Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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 AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 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).
09/29/2026
Full time
AI Engineer 4 (MLX) 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. What You'll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 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, CUDA, 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 Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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 AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 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, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 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).
09/29/2026
Full time
Senior Manager, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 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, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 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).
09/29/2026
Full time
Senior Manager, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 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).
AI Engineer 4 (MLX) 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. What You'll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 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, CUDA, 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 Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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 AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 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).
09/29/2026
Full time
AI Engineer 4 (MLX) 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. What You'll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 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, CUDA, 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 Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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 AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 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 Web Optimization Engineer (NOT A REMOTE POSITION) Senior Web Optimization Engineer Senior Web Optimization Engineer Location: Hybrid, Hoffman Estates, IL (THIS IS NOT A REMOTE POSITION) Schedule: Mondays, Tuesdays, Thursdays / In Office: Wednesdays and Fridays Remote Employment Type: Full-time Salary Range: $85,000-$110,000 per yr. About JumpFly JumpFly is an independent digital marketing agency that has helped businesses grow through paid media, SEO, marketplace advertising, email marketing, and digital strategy since 2003. We are expanding our Conversion Rate Optimization and Website Services capabilities and are hiring a Senior Web Optimization Engineer to help build and scale this new service line. About the Role The Senior CRO and Web Optimization Engineer is not a traditional software engineering role. We're looking for a hands-on web optimization expert with direct experience in CRO, GA4/GTM, WordPress, and ecommerce who can identify conversion opportunities, prioritize solutions, and implement them. Ideal Candidate Profile The ideal candidate is a senior, hands-on web optimization expert who can move from analysis to action. You can quickly understand how a website works, identify the most meaningful opportunities, explain your recommendations to clients, and implement improvements safely. You combine CRO judgment with strong technical execution. You are comfortable across lead-generation and ecommerce experiences, use data to guide priorities, and look for repeatable solutions that improve delivery over time. Required Qualifications 5 or more years of relevant web development, analytics implementation, or website optimization experience, or equivalent senior-level capability Hands-on experience implementing and troubleshooting production website changes in WordPress and Shopify or a comparable ecommerce platform Strong HTML, CSS, JavaScript, and browser-debugging skills, with experience building responsive, production-ready web experiences Strong GA4, Google Tag Manager, data-layer, conversion-tracking, and analytics implementation experience Demonstrated ability to conduct technical website audits and turn findings into prioritized recommendations Working familiarity with experimentation platforms, behavioral analytics, Core Web Vitals, technical SEO, and accessibility standards Strong technical judgment, troubleshooting, client communication, and experience safely delivering work across multiple website environments Preferred Qualifications Additional experience with experimentation platforms, test design, or statistical analysis Additional experience with Shopify Liquid, Adobe Commerce, ecommerce analytics, or complex data-layer implementations Experience with New Relic, PHP, APIs, integrations, or visual-regression testing Agency or consultancy experience, including helping standardize or productize a web optimization service If you do not meet all the above requirements STOP! DO NOT APPLY FOR THIS POSITION! Core Responsibilities Conduct technical website audits covering architecture, CMS constraints, analytics, conversion paths, performance, accessibility, integrations, and implementation risks Implement, audit, and troubleshoot GA4, Google Tag Manager, data-layer events, form tracking, conversion tracking, and ecommerce tracking; establish reliable baseline metrics Implement approved CRO and website improvements, including landing pages, forms, navigation, checkout flows, responsive layouts, and reusable components Estimate effort, identify dependencies and risks, and recommend maintainable implementation approaches Present findings clearly and participate in client discovery, scoping, planning, and troubleshooting when technical or CRO expertise is needed Why Join JumpFly Help build a new optimization-focused service within an established, independent digital marketing agency Work directly with clients across varied industries, business models, and technical environments Collaborate with experienced paid media, SEO, design, and strategy teams Combine strategic CRO guidance with hands-on implementation Help define the standards, tools, and repeatable solutions used as the division grows Benefits Hybrid office with 2 remote working days per week Competitive starting salary based on experience Retirement plan with 3% company match, immediate vesting $475/month towards our group health and dental plan Two weeks paid vacation in the first year Casual, friendly work environment Compensation details: 00 Yearly Salary PI4dba8d93cc50-9737
09/29/2026
Full time
Senior Web Optimization Engineer (NOT A REMOTE POSITION) Senior Web Optimization Engineer Senior Web Optimization Engineer Location: Hybrid, Hoffman Estates, IL (THIS IS NOT A REMOTE POSITION) Schedule: Mondays, Tuesdays, Thursdays / In Office: Wednesdays and Fridays Remote Employment Type: Full-time Salary Range: $85,000-$110,000 per yr. About JumpFly JumpFly is an independent digital marketing agency that has helped businesses grow through paid media, SEO, marketplace advertising, email marketing, and digital strategy since 2003. We are expanding our Conversion Rate Optimization and Website Services capabilities and are hiring a Senior Web Optimization Engineer to help build and scale this new service line. About the Role The Senior CRO and Web Optimization Engineer is not a traditional software engineering role. We're looking for a hands-on web optimization expert with direct experience in CRO, GA4/GTM, WordPress, and ecommerce who can identify conversion opportunities, prioritize solutions, and implement them. Ideal Candidate Profile The ideal candidate is a senior, hands-on web optimization expert who can move from analysis to action. You can quickly understand how a website works, identify the most meaningful opportunities, explain your recommendations to clients, and implement improvements safely. You combine CRO judgment with strong technical execution. You are comfortable across lead-generation and ecommerce experiences, use data to guide priorities, and look for repeatable solutions that improve delivery over time. Required Qualifications 5 or more years of relevant web development, analytics implementation, or website optimization experience, or equivalent senior-level capability Hands-on experience implementing and troubleshooting production website changes in WordPress and Shopify or a comparable ecommerce platform Strong HTML, CSS, JavaScript, and browser-debugging skills, with experience building responsive, production-ready web experiences Strong GA4, Google Tag Manager, data-layer, conversion-tracking, and analytics implementation experience Demonstrated ability to conduct technical website audits and turn findings into prioritized recommendations Working familiarity with experimentation platforms, behavioral analytics, Core Web Vitals, technical SEO, and accessibility standards Strong technical judgment, troubleshooting, client communication, and experience safely delivering work across multiple website environments Preferred Qualifications Additional experience with experimentation platforms, test design, or statistical analysis Additional experience with Shopify Liquid, Adobe Commerce, ecommerce analytics, or complex data-layer implementations Experience with New Relic, PHP, APIs, integrations, or visual-regression testing Agency or consultancy experience, including helping standardize or productize a web optimization service If you do not meet all the above requirements STOP! DO NOT APPLY FOR THIS POSITION! Core Responsibilities Conduct technical website audits covering architecture, CMS constraints, analytics, conversion paths, performance, accessibility, integrations, and implementation risks Implement, audit, and troubleshoot GA4, Google Tag Manager, data-layer events, form tracking, conversion tracking, and ecommerce tracking; establish reliable baseline metrics Implement approved CRO and website improvements, including landing pages, forms, navigation, checkout flows, responsive layouts, and reusable components Estimate effort, identify dependencies and risks, and recommend maintainable implementation approaches Present findings clearly and participate in client discovery, scoping, planning, and troubleshooting when technical or CRO expertise is needed Why Join JumpFly Help build a new optimization-focused service within an established, independent digital marketing agency Work directly with clients across varied industries, business models, and technical environments Collaborate with experienced paid media, SEO, design, and strategy teams Combine strategic CRO guidance with hands-on implementation Help define the standards, tools, and repeatable solutions used as the division grows Benefits Hybrid office with 2 remote working days per week Competitive starting salary based on experience Retirement plan with 3% company match, immediate vesting $475/month towards our group health and dental plan Two weeks paid vacation in the first year Casual, friendly work environment Compensation details: 00 Yearly Salary PI4dba8d93cc50-9737
Senior Staff AI Engineer - Agentic AI Platform (Remote Eligible) 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. Capital One is open to hiring a Remote Employee for this opportunity What You'll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, 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 Experience in building agentic AI systems and agentic workflows 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 Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff 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).
09/28/2026
Full time
Senior Staff AI Engineer - Agentic AI Platform (Remote Eligible) 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. Capital One is open to hiring a Remote Employee for this opportunity What You'll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, 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 Experience in building agentic AI systems and agentic workflows 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 Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff 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 Staff AI Engineer - Agentic AI Platform (Remote Eligible) 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. Capital One is open to hiring a Remote Employee for this opportunity What You'll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, 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 Experience in building agentic AI systems and agentic workflows 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 Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff 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).
09/28/2026
Full time
Senior Staff AI Engineer - Agentic AI Platform (Remote Eligible) 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. Capital One is open to hiring a Remote Employee for this opportunity What You'll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, 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 Experience in building agentic AI systems and agentic workflows 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 Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff 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 Web Optimization Engineer (NOT A REMOTE POSITION) Senior Web Optimization Engineer Senior Web Optimization Engineer Location: Hybrid, Hoffman Estates, IL (THIS IS NOT A REMOTE POSITION) Schedule: Mondays, Tuesdays, Thursdays / In Office: Wednesdays and Fridays Remote Employment Type: Full-time Salary Range: $85,000-$110,000 per yr. About JumpFly JumpFly is an independent digital marketing agency that has helped businesses grow through paid media, SEO, marketplace advertising, email marketing, and digital strategy since 2003. We are expanding our Conversion Rate Optimization and Website Services capabilities and are hiring a Senior Web Optimization Engineer to help build and scale this new service line. About the Role The Senior CRO and Web Optimization Engineer is not a traditional software engineering role. We're looking for a hands-on web optimization expert with direct experience in CRO, GA4/GTM, WordPress, and ecommerce who can identify conversion opportunities, prioritize solutions, and implement them. Ideal Candidate Profile The ideal candidate is a senior, hands-on web optimization expert who can move from analysis to action. You can quickly understand how a website works, identify the most meaningful opportunities, explain your recommendations to clients, and implement improvements safely. You combine CRO judgment with strong technical execution. You are comfortable across lead-generation and ecommerce experiences, use data to guide priorities, and look for repeatable solutions that improve delivery over time. Required Qualifications 5 or more years of relevant web development, analytics implementation, or website optimization experience, or equivalent senior-level capability Hands-on experience implementing and troubleshooting production website changes in WordPress and Shopify or a comparable ecommerce platform Strong HTML, CSS, JavaScript, and browser-debugging skills, with experience building responsive, production-ready web experiences Strong GA4, Google Tag Manager, data-layer, conversion-tracking, and analytics implementation experience Demonstrated ability to conduct technical website audits and turn findings into prioritized recommendations Working familiarity with experimentation platforms, behavioral analytics, Core Web Vitals, technical SEO, and accessibility standards Strong technical judgment, troubleshooting, client communication, and experience safely delivering work across multiple website environments Preferred Qualifications Additional experience with experimentation platforms, test design, or statistical analysis Additional experience with Shopify Liquid, Adobe Commerce, ecommerce analytics, or complex data-layer implementations Experience with New Relic, PHP, APIs, integrations, or visual-regression testing Agency or consultancy experience, including helping standardize or productize a web optimization service If you do not meet all the above requirements STOP! DO NOT APPLY FOR THIS POSITION! Core Responsibilities Conduct technical website audits covering architecture, CMS constraints, analytics, conversion paths, performance, accessibility, integrations, and implementation risks Implement, audit, and troubleshoot GA4, Google Tag Manager, data-layer events, form tracking, conversion tracking, and ecommerce tracking; establish reliable baseline metrics Implement approved CRO and website improvements, including landing pages, forms, navigation, checkout flows, responsive layouts, and reusable components Estimate effort, identify dependencies and risks, and recommend maintainable implementation approaches Present findings clearly and participate in client discovery, scoping, planning, and troubleshooting when technical or CRO expertise is needed Why Join JumpFly Help build a new optimization-focused service within an established, independent digital marketing agency Work directly with clients across varied industries, business models, and technical environments Collaborate with experienced paid media, SEO, design, and strategy teams Combine strategic CRO guidance with hands-on implementation Help define the standards, tools, and repeatable solutions used as the division grows Benefits Hybrid office with 2 remote working days per week Competitive starting salary based on experience Retirement plan with 3% company match, immediate vesting $475/month towards our group health and dental plan Two weeks paid vacation in the first year Casual, friendly work environment Compensation details: 00 Yearly Salary PI4dba8d93cc50-9737
09/28/2026
Full time
Senior Web Optimization Engineer (NOT A REMOTE POSITION) Senior Web Optimization Engineer Senior Web Optimization Engineer Location: Hybrid, Hoffman Estates, IL (THIS IS NOT A REMOTE POSITION) Schedule: Mondays, Tuesdays, Thursdays / In Office: Wednesdays and Fridays Remote Employment Type: Full-time Salary Range: $85,000-$110,000 per yr. About JumpFly JumpFly is an independent digital marketing agency that has helped businesses grow through paid media, SEO, marketplace advertising, email marketing, and digital strategy since 2003. We are expanding our Conversion Rate Optimization and Website Services capabilities and are hiring a Senior Web Optimization Engineer to help build and scale this new service line. About the Role The Senior CRO and Web Optimization Engineer is not a traditional software engineering role. We're looking for a hands-on web optimization expert with direct experience in CRO, GA4/GTM, WordPress, and ecommerce who can identify conversion opportunities, prioritize solutions, and implement them. Ideal Candidate Profile The ideal candidate is a senior, hands-on web optimization expert who can move from analysis to action. You can quickly understand how a website works, identify the most meaningful opportunities, explain your recommendations to clients, and implement improvements safely. You combine CRO judgment with strong technical execution. You are comfortable across lead-generation and ecommerce experiences, use data to guide priorities, and look for repeatable solutions that improve delivery over time. Required Qualifications 5 or more years of relevant web development, analytics implementation, or website optimization experience, or equivalent senior-level capability Hands-on experience implementing and troubleshooting production website changes in WordPress and Shopify or a comparable ecommerce platform Strong HTML, CSS, JavaScript, and browser-debugging skills, with experience building responsive, production-ready web experiences Strong GA4, Google Tag Manager, data-layer, conversion-tracking, and analytics implementation experience Demonstrated ability to conduct technical website audits and turn findings into prioritized recommendations Working familiarity with experimentation platforms, behavioral analytics, Core Web Vitals, technical SEO, and accessibility standards Strong technical judgment, troubleshooting, client communication, and experience safely delivering work across multiple website environments Preferred Qualifications Additional experience with experimentation platforms, test design, or statistical analysis Additional experience with Shopify Liquid, Adobe Commerce, ecommerce analytics, or complex data-layer implementations Experience with New Relic, PHP, APIs, integrations, or visual-regression testing Agency or consultancy experience, including helping standardize or productize a web optimization service If you do not meet all the above requirements STOP! DO NOT APPLY FOR THIS POSITION! Core Responsibilities Conduct technical website audits covering architecture, CMS constraints, analytics, conversion paths, performance, accessibility, integrations, and implementation risks Implement, audit, and troubleshoot GA4, Google Tag Manager, data-layer events, form tracking, conversion tracking, and ecommerce tracking; establish reliable baseline metrics Implement approved CRO and website improvements, including landing pages, forms, navigation, checkout flows, responsive layouts, and reusable components Estimate effort, identify dependencies and risks, and recommend maintainable implementation approaches Present findings clearly and participate in client discovery, scoping, planning, and troubleshooting when technical or CRO expertise is needed Why Join JumpFly Help build a new optimization-focused service within an established, independent digital marketing agency Work directly with clients across varied industries, business models, and technical environments Collaborate with experienced paid media, SEO, design, and strategy teams Combine strategic CRO guidance with hands-on implementation Help define the standards, tools, and repeatable solutions used as the division grows Benefits Hybrid office with 2 remote working days per week Competitive starting salary based on experience Retirement plan with 3% company match, immediate vesting $475/month towards our group health and dental plan Two weeks paid vacation in the first year Casual, friendly work environment Compensation details: 00 Yearly Salary PI4dba8d93cc50-9737
Job Description Job Description The Elevator Pitch Are you ready to own the network and cybersecurity backbone of a company that's redefining security technology? Do you thrive at the intersection of network engineering, cybersecurity operations, and compliance-where your work directly reduces risk and keeps the business resilient against an ever-changing threat landscape? Evolv is seeking a Network & Cybersecurity Engineer to design, implement, and defend our network infrastructure and security tooling. You'll be the technical owner of Evolv's network and security posture-from firewalls and access control to identity governance and threat detection-reporting to the Senior Director of Cybersecurity & Technology. This is a pivotal role in maturing Evolv's security program to meet the evolving demands of the business and our growing compliance obligations. You'll partner closely with the Systems Engineer and the rest of the IT team, and serve as the subject matter expert on networking, enterprise cybersecurity, and compliance tooling. If you're energized by staying ahead of emerging threats and building durable, well-governed security controls, this role is for you. Success in the Role: What are performance outcomes over the first 6-12 months you will work toward completing? In the first 30 days, you will: Get to know the IT and security team and the tools/platforms currently in use Start building relationships with key stakeholders across the company, especially R&D and Legal/Compliance Learn Evolv's compliance commitments and ongoing authorization efforts, and how best to support them Gain familiarity with the current network/security toolstack: firewalls (Palo Alto), switching (Cisco/Meraki), NAC, VPN/ZTNA, identity platforms (Okta, Entra ID), SIEM/EDR/DLP tooling, and the MDR relationship Within 3 months, you will: Begin implementing or improving network and security controls that measurably reduce risk Build trust-based relationships with peers in IT and stakeholders across business units Become the established subject matter expert on network security and compliance tooling at Evolv Take ownership of the MDR relationship and escalated detection response By the end of the first year, you will: Be recognized as the trusted subject matter expert across network infrastructure, and security operations Have driven measurable improvements to Evolv's security posture and compliance readiness Successfully supported compliance requirements and audit readiness, partnering closely with Legal/Compliance and R&D Documented network and security architecture, processes, and runbooks that reduce single points of failure Be seen as the go-to resource for network security questions, escalations, and best-practice guidance The Work: What type of work will you be doing? What assignments, requirements, or skills will you be performing on a regular basis? Infrastructure, Security & Compliance: Design, implement, and maintain network infrastructure: firewalls (Palo Alto), switching (Cisco/Meraki), NAC, and VPN/ZTNA solutions Administer identity and access: Okta/Entra ID, Conditional Access policies, MFA enforcement, identity lifecycle management, and IGA Own security tooling and controls: SIEM, EDR, DLP, and vulnerability management, aligned to CIS Controls, NIST CSF, and other relevant compliance frameworks Manage the MDR relationship and respond to escalated detections Drive the IT process and policy redesign required to meet current compliance requirements, and to support additional frameworks as those efforts come online, in partnership with Legal/Compliance Harden AWS/Azure environments from a security perspective: IAM least-privilege, VPC/network security, Azure Policy Provide front-line escalation support and mentoring to IT teammates; maintain runbooks and documentation Assess technology and network risk across the company and recommend remediations Leadership, Team Structure & Culture You will join the IT organization as a direct report to the Senior Director of Cybersecurity & Technology, working alongside a Systems Engineer peer who owns day-to-day systems and endpoint operations. This is a hands-on, collaborative team that takes security and operational excellence seriously. This is a senior individual contributor role focused on deep technical impact-your job is to own and mature Evolv's network security and cybersecurity posture through the systems, controls, and automation you build. You'll have meaningful autonomy over how you approach problems and are actively encouraged to bring creative solutions, identify improvement opportunities, and advocate for better ways of working. You'll work alongside teammates who share your drive for continuous improvement, and you'll have a manager who values initiative, trusts the team to execute, and wants to hear your ideas. Where is the role located? This role is based out of Evolv HQ in Waltham, Massachusetts. This is a hybrid role with an expectation of 3 days per week on-site. Fully remote candidates will not be considered. Compensation and Transparency Statement The base salary range for this full-time position is $102,000-$166,000. In addition to base salary, this role offers a competitive target bonus, equity, and a comprehensive benefits package. This range reflects our commitment to pay transparency and equity, in alignment with applicable state laws. Our compensation ranges are determined based on factors such as role, level, location, market benchmarks, and internal equity. The posted range represents the good-faith estimate of what we expect to pay for this role across U.S. locations. Actual compensation within the range will be based on the candidate's skills, experience, education, and geographic location. In accordance with state and local pay transparency laws-including those in California, Colorado, Massachusetts, New York, New Jersey, and others-we disclose salary ranges in all job postings and provide additional information upon request. During the hiring process, your recruiter will share: •The specific salary range for your preferred location •A general overview of our benefits and equity offerings •Insights into how compensation decisions are made, including factors that influence starting pay We are committed to fair pay practices, and we regularly review our compensation programs to ensure they are competitive, equitable, and aligned with our values. Benefits At Evolv, we're on a mission to help make public spaces safer through innovative security technology. So, we're looking for future teammates who embody our values, people who: Do the right thing, always; Put people first' Own it; Win together; and continue to Be bold, stay curious. Our Benefits Include : Equity as part of your total compensation package Medical, dental, and vision insurance Health Savings Account (HSA) A 401(k) plan (and 2% company match) Flexible Paid Time Off (PTO)- take the time you need to recharge, with manager approval and business needs in mind Quarterly stipend for perks and benefits that matter most to you Tuition reimbursement to support your ongoing learning and development Subscription to Calm Evolv Technology ("Evolv") is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. We welcome and encourage diversity in the workplace, and all employment decisions are made without regard to race, color, religion, national, social or ethnic origin, sex (including pregnancy), age, disability, HIV Status, sexual orientation, gender identity and/or expression, veteran status, or any other status protected by law in the locations where we operate. Evolv will not tolerate discrimination or harassment based on any of these characteristics. Evolv is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. If you need a reasonable accommodation as part of the job application process, please connect with us at . Evolv participates in E-verify for all employees after the completion of Form I-9.
09/28/2026
Full time
Job Description Job Description The Elevator Pitch Are you ready to own the network and cybersecurity backbone of a company that's redefining security technology? Do you thrive at the intersection of network engineering, cybersecurity operations, and compliance-where your work directly reduces risk and keeps the business resilient against an ever-changing threat landscape? Evolv is seeking a Network & Cybersecurity Engineer to design, implement, and defend our network infrastructure and security tooling. You'll be the technical owner of Evolv's network and security posture-from firewalls and access control to identity governance and threat detection-reporting to the Senior Director of Cybersecurity & Technology. This is a pivotal role in maturing Evolv's security program to meet the evolving demands of the business and our growing compliance obligations. You'll partner closely with the Systems Engineer and the rest of the IT team, and serve as the subject matter expert on networking, enterprise cybersecurity, and compliance tooling. If you're energized by staying ahead of emerging threats and building durable, well-governed security controls, this role is for you. Success in the Role: What are performance outcomes over the first 6-12 months you will work toward completing? In the first 30 days, you will: Get to know the IT and security team and the tools/platforms currently in use Start building relationships with key stakeholders across the company, especially R&D and Legal/Compliance Learn Evolv's compliance commitments and ongoing authorization efforts, and how best to support them Gain familiarity with the current network/security toolstack: firewalls (Palo Alto), switching (Cisco/Meraki), NAC, VPN/ZTNA, identity platforms (Okta, Entra ID), SIEM/EDR/DLP tooling, and the MDR relationship Within 3 months, you will: Begin implementing or improving network and security controls that measurably reduce risk Build trust-based relationships with peers in IT and stakeholders across business units Become the established subject matter expert on network security and compliance tooling at Evolv Take ownership of the MDR relationship and escalated detection response By the end of the first year, you will: Be recognized as the trusted subject matter expert across network infrastructure, and security operations Have driven measurable improvements to Evolv's security posture and compliance readiness Successfully supported compliance requirements and audit readiness, partnering closely with Legal/Compliance and R&D Documented network and security architecture, processes, and runbooks that reduce single points of failure Be seen as the go-to resource for network security questions, escalations, and best-practice guidance The Work: What type of work will you be doing? What assignments, requirements, or skills will you be performing on a regular basis? Infrastructure, Security & Compliance: Design, implement, and maintain network infrastructure: firewalls (Palo Alto), switching (Cisco/Meraki), NAC, and VPN/ZTNA solutions Administer identity and access: Okta/Entra ID, Conditional Access policies, MFA enforcement, identity lifecycle management, and IGA Own security tooling and controls: SIEM, EDR, DLP, and vulnerability management, aligned to CIS Controls, NIST CSF, and other relevant compliance frameworks Manage the MDR relationship and respond to escalated detections Drive the IT process and policy redesign required to meet current compliance requirements, and to support additional frameworks as those efforts come online, in partnership with Legal/Compliance Harden AWS/Azure environments from a security perspective: IAM least-privilege, VPC/network security, Azure Policy Provide front-line escalation support and mentoring to IT teammates; maintain runbooks and documentation Assess technology and network risk across the company and recommend remediations Leadership, Team Structure & Culture You will join the IT organization as a direct report to the Senior Director of Cybersecurity & Technology, working alongside a Systems Engineer peer who owns day-to-day systems and endpoint operations. This is a hands-on, collaborative team that takes security and operational excellence seriously. This is a senior individual contributor role focused on deep technical impact-your job is to own and mature Evolv's network security and cybersecurity posture through the systems, controls, and automation you build. You'll have meaningful autonomy over how you approach problems and are actively encouraged to bring creative solutions, identify improvement opportunities, and advocate for better ways of working. You'll work alongside teammates who share your drive for continuous improvement, and you'll have a manager who values initiative, trusts the team to execute, and wants to hear your ideas. Where is the role located? This role is based out of Evolv HQ in Waltham, Massachusetts. This is a hybrid role with an expectation of 3 days per week on-site. Fully remote candidates will not be considered. Compensation and Transparency Statement The base salary range for this full-time position is $102,000-$166,000. In addition to base salary, this role offers a competitive target bonus, equity, and a comprehensive benefits package. This range reflects our commitment to pay transparency and equity, in alignment with applicable state laws. Our compensation ranges are determined based on factors such as role, level, location, market benchmarks, and internal equity. The posted range represents the good-faith estimate of what we expect to pay for this role across U.S. locations. Actual compensation within the range will be based on the candidate's skills, experience, education, and geographic location. In accordance with state and local pay transparency laws-including those in California, Colorado, Massachusetts, New York, New Jersey, and others-we disclose salary ranges in all job postings and provide additional information upon request. During the hiring process, your recruiter will share: •The specific salary range for your preferred location •A general overview of our benefits and equity offerings •Insights into how compensation decisions are made, including factors that influence starting pay We are committed to fair pay practices, and we regularly review our compensation programs to ensure they are competitive, equitable, and aligned with our values. Benefits At Evolv, we're on a mission to help make public spaces safer through innovative security technology. So, we're looking for future teammates who embody our values, people who: Do the right thing, always; Put people first' Own it; Win together; and continue to Be bold, stay curious. Our Benefits Include : Equity as part of your total compensation package Medical, dental, and vision insurance Health Savings Account (HSA) A 401(k) plan (and 2% company match) Flexible Paid Time Off (PTO)- take the time you need to recharge, with manager approval and business needs in mind Quarterly stipend for perks and benefits that matter most to you Tuition reimbursement to support your ongoing learning and development Subscription to Calm Evolv Technology ("Evolv") is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. We welcome and encourage diversity in the workplace, and all employment decisions are made without regard to race, color, religion, national, social or ethnic origin, sex (including pregnancy), age, disability, HIV Status, sexual orientation, gender identity and/or expression, veteran status, or any other status protected by law in the locations where we operate. Evolv will not tolerate discrimination or harassment based on any of these characteristics. Evolv is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. If you need a reasonable accommodation as part of the job application process, please connect with us at . Evolv participates in E-verify for all employees after the completion of Form I-9.
Job Description Job Description About Us: NPO Torino is a specialized Digital Transformation company, recently acquired by the Fondo Italiano d'Investimento (Italian Investment Fund). With our headquarters in Turin and an operational presence in the United States and Brazil, we support companies in their technological evolution journey by combining consulting expertise with advanced IT solutions. We offer services in cloud computing, cybersecurity, AI for business, FinOps, system integration, and IT governance, featuring a customized and results-driven approach. Our mission is to simplify digital complexity and transform it into strategic value for enterprises. Backed by the Fondo Italiano d'Investimento , NPO Torino is accelerating its growth as a partner of choice for companies looking to tackle innovation challenges with vision, pragmatism, and sustainability. Salary range $80K to $92K. Work is partially remote with occasional travel to USA, and in Canada. Role Description: We are looking for a highly qualified Senior Network Security Engineer to join our Network & Security Business Unit. The professional will be responsible for the design, implementation, maintenance, and troubleshooting of complex network security infrastructures. The ideal candidate has deep, vertical expertise with leading security vendors (Fortinet, Palo Alto Networks, Cisco, F5) and a proven track record of managing modern architectures, including SASE solutions. Key Responsibilities: Design and manage security architectures based on Next-Generation Firewalls (NGFW). Implement and manage SASE (Secure Access Service Edge) solutions for distributed environments. Perform configuration , policy management, and advanced troubleshooting on multi-vendor equipment. Manage perimeter and internal security within Enterprise environments. Conduct log analysis, incident management, and system hardening. Provide technical mentoring for junior team members (optional, if required). Fundamental Technical Requirements (Must-Have) The candidate must demonstrate practical, in-depth, hands-on experience with the following technologies: Palo Alto Networks: Advanced configuration and management of NGFW (PA Series). Solid experience with Panorama for centralized management. Proven experience with SASE solutions (Prisma Access) and GlobalProtect. Fortinet: Advanced management of FortiGate (including VDOM, SD-WAN, SSL Inspection). Experience with the wider Fortinet ecosystem (FortiManager, FortiAnalyzer). Cisco Security: Experience with Cisco Security solutions (Firepower/FTD, ASA). Knowledge of Cisco ISE (Identity Services Engine) and TrustSec architectures is a strong plus. F5 Networks: Implementation and management of F5 BIG-IP solutions. Strong configuration and troubleshooting skills on LTM (Local Traffic Manager) and/or APM (Access Policy Manager) / AWAF modules. Soft Skills & Additional Requirements: Minimum of 5+ years of experience in Network Security Engineering roles. Excellent troubleshooting and problem-solving skills under pressure. Preferred Certifications (Nice-to-Have): Palo Alto: PCNSE (Palo Alto Networks Certified Network Security Engineer). Fortinet: NSE 4 / NSE 7. Cisco: CCNP Security or CCIE Security. F5: F5 Certified Administrator (F5-CA) or Technology Specialist (F5-CTS). Introduce Yourself (Screening Questions): "Do you have direct implementation experience with Prisma Access? Can you briefly describe a SASE architecture you have managed?" "Have you ever managed migrations between these vendors (e.g., from Cisco to Fortinet or vice versa)?" What We Offer: Salary commensurate with experience. Structured training and certification plans. Corporate benefits: Welfare Plan, Smart Working.
09/28/2026
Full time
Job Description Job Description About Us: NPO Torino is a specialized Digital Transformation company, recently acquired by the Fondo Italiano d'Investimento (Italian Investment Fund). With our headquarters in Turin and an operational presence in the United States and Brazil, we support companies in their technological evolution journey by combining consulting expertise with advanced IT solutions. We offer services in cloud computing, cybersecurity, AI for business, FinOps, system integration, and IT governance, featuring a customized and results-driven approach. Our mission is to simplify digital complexity and transform it into strategic value for enterprises. Backed by the Fondo Italiano d'Investimento , NPO Torino is accelerating its growth as a partner of choice for companies looking to tackle innovation challenges with vision, pragmatism, and sustainability. Salary range $80K to $92K. Work is partially remote with occasional travel to USA, and in Canada. Role Description: We are looking for a highly qualified Senior Network Security Engineer to join our Network & Security Business Unit. The professional will be responsible for the design, implementation, maintenance, and troubleshooting of complex network security infrastructures. The ideal candidate has deep, vertical expertise with leading security vendors (Fortinet, Palo Alto Networks, Cisco, F5) and a proven track record of managing modern architectures, including SASE solutions. Key Responsibilities: Design and manage security architectures based on Next-Generation Firewalls (NGFW). Implement and manage SASE (Secure Access Service Edge) solutions for distributed environments. Perform configuration , policy management, and advanced troubleshooting on multi-vendor equipment. Manage perimeter and internal security within Enterprise environments. Conduct log analysis, incident management, and system hardening. Provide technical mentoring for junior team members (optional, if required). Fundamental Technical Requirements (Must-Have) The candidate must demonstrate practical, in-depth, hands-on experience with the following technologies: Palo Alto Networks: Advanced configuration and management of NGFW (PA Series). Solid experience with Panorama for centralized management. Proven experience with SASE solutions (Prisma Access) and GlobalProtect. Fortinet: Advanced management of FortiGate (including VDOM, SD-WAN, SSL Inspection). Experience with the wider Fortinet ecosystem (FortiManager, FortiAnalyzer). Cisco Security: Experience with Cisco Security solutions (Firepower/FTD, ASA). Knowledge of Cisco ISE (Identity Services Engine) and TrustSec architectures is a strong plus. F5 Networks: Implementation and management of F5 BIG-IP solutions. Strong configuration and troubleshooting skills on LTM (Local Traffic Manager) and/or APM (Access Policy Manager) / AWAF modules. Soft Skills & Additional Requirements: Minimum of 5+ years of experience in Network Security Engineering roles. Excellent troubleshooting and problem-solving skills under pressure. Preferred Certifications (Nice-to-Have): Palo Alto: PCNSE (Palo Alto Networks Certified Network Security Engineer). Fortinet: NSE 4 / NSE 7. Cisco: CCNP Security or CCIE Security. F5: F5 Certified Administrator (F5-CA) or Technology Specialist (F5-CTS). Introduce Yourself (Screening Questions): "Do you have direct implementation experience with Prisma Access? Can you briefly describe a SASE architecture you have managed?" "Have you ever managed migrations between these vendors (e.g., from Cisco to Fortinet or vice versa)?" What We Offer: Salary commensurate with experience. Structured training and certification plans. Corporate benefits: Welfare Plan, Smart Working.
Job Description Job Description H2O.ai is on a mission to democratize AI for Good. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built Agents, SLMs, and solutions on their private data. With a focus on secure, compliant, and infrastructure-flexible Sovereign AI deployments, H2O.ai delivers solutions that align with the highest standards of data privacy and control. Its open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Wells Fargo, Bank of America, Workday, Progressive Insurance, and NIH. For more information, visit . About This Opportunity We are looking for a Principal AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one. You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes. This position is based in Dallas, Texas and requires onsite customer interfacing. What You Will Do Customer Engagement Leadership Lead end-to-end technical engagement with enterprise customers, acting as the senior point of accountability for delivery quality, stakeholder relationships, and outcomes. Manage multiple concurrent engagement streams simultaneously - coordinating workplans, resourcing, and milestones across cross-functional teams. Serve as the primary technical escalation point for customer issues, proactively identifying risks and driving resolution across engineering, product, and leadership. Build and maintain trusted relationships with customer data science teams, engineering leads, and executive stakeholders - translating business needs into technical direction and back again. Lead pre-sales and proof-of-concept engagements, setting the technical strategy and ensuring the team delivers demonstrations that build genuine enterprise trust. Represent H2O.ai externally at customer workshops, executive briefings, and technical deep-dives as a credible senior voice. Agentic AI & LLM Engineering Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step enterprise workflows. Develop and deploy LLM-powered applications using RAG, fine-tuning, prompt engineering, function calling, and tool use. Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety. Stay current with the rapidly evolving agentic AI landscape - MCP, LLM orchestration frameworks, reasoning models - and bring the best into customer engagements. End-to-End AI Application Development Own the full development lifecycle across multiple streams: from problem framing and data exploration through model development, API integration, and production deployment. Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows. Integrate AI models into customer environments - cloud, on-prem, and hybrid - ensuring performance, stability, and maintainability at scale. Develop ML pipelines and LLMOps infrastructure that support continuous model improvement and monitoring in production. Team Collaboration & Delivery Excellence Coordinate delivery across engineers, program managers, and solution architects - ensuring workstreams are aligned, unblocked, and progressing to plan. Set the technical bar for the engagements you lead, reviewing outputs, shaping architecture decisions, and ensuring engineering quality across the team. Mentor and guide junior ML engineers and solution engineers within engagements, building team capability alongside delivery. Collaborate closely with H2O.ai product and engineering teams to surface customer feedback, shape roadmap input, and resolve platform-level issues. What We Are Looking For Experience & Background 8+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment. Demonstrable experience leading technical delivery across complex, multi-stakeholder enterprise engagements - not just executing within them. Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar. Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent). Experience deploying AI services in cloud or enterprise environments (AWS, Azure, GCP, on-prem Kubernetes). Skills & Capabilities Proven ability to manage multiple concurrent workstreams and coordinate cross-functional teams toward shared delivery milestones. Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps. Solid grounding in classical ML - able to select the right tool for the problem, not just default to the latest LLM. Backend development skills: REST APIs, containerisation (Docker/Kubernetes), and CI/CD pipelines for AI applications. Strong executive communication - able to run a board-level briefing one hour and a technical design review the next, credibly. Comfortable with ambiguity and able to set direction for a team when requirements are incomplete or evolving. How to Stand Out From the Crowd Kaggle or competitive ML experience. Familiarity with H2O.ai products, Wave, or H2O Document AI. Experience in financial services, healthcare, or other regulated industry AI deployments. Exposure to tabular foundation models, AutoML, or enterprise ML platforms. Prior experience in a customer-facing or field engineering role. Why H2O.ai? Market leader in total rewards Remote-friendly culture Flexible working environment Be part of a world-class team Career growth The base salary for this role ranges from $175,000 to $200,000. Compensation is determined based on several factors, including skills, experience, job scope, location, and relevant market compensation data. H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We've made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world's top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company's purpose. Please visit to learn more.
09/28/2026
Full time
Job Description Job Description H2O.ai is on a mission to democratize AI for Good. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built Agents, SLMs, and solutions on their private data. With a focus on secure, compliant, and infrastructure-flexible Sovereign AI deployments, H2O.ai delivers solutions that align with the highest standards of data privacy and control. Its open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Wells Fargo, Bank of America, Workday, Progressive Insurance, and NIH. For more information, visit . About This Opportunity We are looking for a Principal AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one. You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes. This position is based in Dallas, Texas and requires onsite customer interfacing. What You Will Do Customer Engagement Leadership Lead end-to-end technical engagement with enterprise customers, acting as the senior point of accountability for delivery quality, stakeholder relationships, and outcomes. Manage multiple concurrent engagement streams simultaneously - coordinating workplans, resourcing, and milestones across cross-functional teams. Serve as the primary technical escalation point for customer issues, proactively identifying risks and driving resolution across engineering, product, and leadership. Build and maintain trusted relationships with customer data science teams, engineering leads, and executive stakeholders - translating business needs into technical direction and back again. Lead pre-sales and proof-of-concept engagements, setting the technical strategy and ensuring the team delivers demonstrations that build genuine enterprise trust. Represent H2O.ai externally at customer workshops, executive briefings, and technical deep-dives as a credible senior voice. Agentic AI & LLM Engineering Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step enterprise workflows. Develop and deploy LLM-powered applications using RAG, fine-tuning, prompt engineering, function calling, and tool use. Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety. Stay current with the rapidly evolving agentic AI landscape - MCP, LLM orchestration frameworks, reasoning models - and bring the best into customer engagements. End-to-End AI Application Development Own the full development lifecycle across multiple streams: from problem framing and data exploration through model development, API integration, and production deployment. Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows. Integrate AI models into customer environments - cloud, on-prem, and hybrid - ensuring performance, stability, and maintainability at scale. Develop ML pipelines and LLMOps infrastructure that support continuous model improvement and monitoring in production. Team Collaboration & Delivery Excellence Coordinate delivery across engineers, program managers, and solution architects - ensuring workstreams are aligned, unblocked, and progressing to plan. Set the technical bar for the engagements you lead, reviewing outputs, shaping architecture decisions, and ensuring engineering quality across the team. Mentor and guide junior ML engineers and solution engineers within engagements, building team capability alongside delivery. Collaborate closely with H2O.ai product and engineering teams to surface customer feedback, shape roadmap input, and resolve platform-level issues. What We Are Looking For Experience & Background 8+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment. Demonstrable experience leading technical delivery across complex, multi-stakeholder enterprise engagements - not just executing within them. Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar. Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent). Experience deploying AI services in cloud or enterprise environments (AWS, Azure, GCP, on-prem Kubernetes). Skills & Capabilities Proven ability to manage multiple concurrent workstreams and coordinate cross-functional teams toward shared delivery milestones. Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps. Solid grounding in classical ML - able to select the right tool for the problem, not just default to the latest LLM. Backend development skills: REST APIs, containerisation (Docker/Kubernetes), and CI/CD pipelines for AI applications. Strong executive communication - able to run a board-level briefing one hour and a technical design review the next, credibly. Comfortable with ambiguity and able to set direction for a team when requirements are incomplete or evolving. How to Stand Out From the Crowd Kaggle or competitive ML experience. Familiarity with H2O.ai products, Wave, or H2O Document AI. Experience in financial services, healthcare, or other regulated industry AI deployments. Exposure to tabular foundation models, AutoML, or enterprise ML platforms. Prior experience in a customer-facing or field engineering role. Why H2O.ai? Market leader in total rewards Remote-friendly culture Flexible working environment Be part of a world-class team Career growth The base salary for this role ranges from $175,000 to $200,000. Compensation is determined based on several factors, including skills, experience, job scope, location, and relevant market compensation data. H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We've made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world's top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company's purpose. Please visit to learn more.
Job Description Job Description K2 is building the largest and highest-power satellites ever flown, unlocking performance levels previously out of reach across every orbit. Backed by over $1 billion in total funding from leading investors including Altimeter Capital, ICONIQ, Kleiner Perkins, Lightspeed Venture Partners, Redpoint Ventures, and T. Rowe Price - and with over $1 billion in signed contracts across commercial and US government customers, we're mass-producing the highest-power satellite platforms ever built for missions from LEO to deep space. The rise of heavy-lift launch vehicles is shifting the industry from an era of mass constraint to one of mass abundance, and we believe this new era demands a fundamentally different class of spacecraft. Engineered to survive the harshest radiation environments and to fully capitalize on today's and tomorrow's massive rockets, K2 satellites deliver unmatched capability at constellation scale and across multiple orbits. With multiple launches in 2027 and plans to scale to 100 satellites a year, we're Building Bigger - helping develop the solar system and build toward a Kardashev Type II (K2) civilization. If you are a motivated individual who thrives in a fast-paced environment and you're excited about contributing to the success of a high-growth Series D-funded company, we'd love for you to apply. The Role You will play a pivotal role in driving the overall development and integration of our satellite bus for mission success. You will be primarily responsible for successful K2 missions, acting as a deputy program manager internally and with customers. You will work across engineering, production, and business development to deliver reliable flight systems on time. You will own bus-level design integration and champion technical readiness from concept through launch. In this role, you will collaborate with a highly skilled, cross-disciplinary team to develop innovative solutions for complex challenges, ensuring alignment with mission requirements and customer expectations. Our fast-paced, startup environment demands a proactive, adaptable leader who thrives in high-stakes scenarios, navigates ambiguity, and delivers results under aggressive timelines. If you are a self-starter with a passion for innovation in space systems, a drive to solve previously unsolved problems, and a commitment to delivering world class satellite solutions, we want you on our team. Responsibilities Program Leadership: Develop and manage engineering and program schedule, vehicle design, critical performance trades, resource allocation, and mission success Strategic Development: Define bus-level milestones, requirements, and long-term objectives in collaboration with stakeholders Program Execution: Drive engineering and flight readiness activities to meet mission and contract commitments Cross-Functional Integration: Work closely with engineering teams to assess vehicle readiness, manage technical changes, and mitigate risks Systems Development: Establish and improve engineering processes, reviews, and analysis frameworks to support K2 growth Design Reliability: Support internal design reviews and development ensuring adherence to requirements and high reliability Operate effectively in a rapidly evolving startup where agility, autonomy, and proactive problem-solving are essential Qualifications Bachelor's degree in electrical, aerospace, mechanical, computer, or other relevant engineering discipline 6+ years of experience in technical aerospace or manufacturing 3+ years of experience managing projects, technical trades, and/or technical teams Strong understanding of launch vehicles, spacecraft, or other aerospace systems Exceptional written and verbal communication skills Nice to Have Master's degree or PhD in an engineering or science discipline 10+ years of experience in technical aerospace or manufacturing 5+ years of experience managing projects or technical trades Active Top Secret or TS/SCI clearance Experience leading Spacecraft mission design, development, integration, test, and/or launch across multiple departments Proven ability to innovate in process improvement and system architectures Skilled in generating executive summaries to drive decision making through senior leadership discussions Familiarity with contracts and mission requirements evaluations Demonstrated track record of project ownership, responsibility for execution, and successful outcomes Ability to travel up to 25% of the time Compensation and Benefits Base salary range for this role is $175,000 - $200,000 + equity in the company Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level Comprehensive benefits package including paid time off, medical/dental/vision coverage, life insurance, paid parental leave, and many other perks If you don't meet 100% of the preferred skills and experience, we encourage you to still apply! Building a spacecraft unlike any other requires a team unlike any other and non-traditional career twists and turns are encouraged! If you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know. Export Compliance As defined in the ITAR, "U.S. Persons" include U.S. citizens, lawful permanent residents (i.e., Green Card holders), and certain protected individuals (e.g., refugees/asylees, American Samoans). Please consult with a knowledgeable advisor if you are unsure whether you are a "U.S. Person." The person hired for this role will have access to information and items controlled by U.S. export control regulations, including the export control regulations outlined in the International Traffic in Arms Regulation (ITAR). The person hired for this role must therefore either be a "U.S. person" as defined by 22 C.F.R. 120.15 or otherwise eligible for a federally issued export control license. Equal Opportunity K2 Space is an Equal Opportunity Employer; employment with K2 Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
09/28/2026
Full time
Job Description Job Description K2 is building the largest and highest-power satellites ever flown, unlocking performance levels previously out of reach across every orbit. Backed by over $1 billion in total funding from leading investors including Altimeter Capital, ICONIQ, Kleiner Perkins, Lightspeed Venture Partners, Redpoint Ventures, and T. Rowe Price - and with over $1 billion in signed contracts across commercial and US government customers, we're mass-producing the highest-power satellite platforms ever built for missions from LEO to deep space. The rise of heavy-lift launch vehicles is shifting the industry from an era of mass constraint to one of mass abundance, and we believe this new era demands a fundamentally different class of spacecraft. Engineered to survive the harshest radiation environments and to fully capitalize on today's and tomorrow's massive rockets, K2 satellites deliver unmatched capability at constellation scale and across multiple orbits. With multiple launches in 2027 and plans to scale to 100 satellites a year, we're Building Bigger - helping develop the solar system and build toward a Kardashev Type II (K2) civilization. If you are a motivated individual who thrives in a fast-paced environment and you're excited about contributing to the success of a high-growth Series D-funded company, we'd love for you to apply. The Role You will play a pivotal role in driving the overall development and integration of our satellite bus for mission success. You will be primarily responsible for successful K2 missions, acting as a deputy program manager internally and with customers. You will work across engineering, production, and business development to deliver reliable flight systems on time. You will own bus-level design integration and champion technical readiness from concept through launch. In this role, you will collaborate with a highly skilled, cross-disciplinary team to develop innovative solutions for complex challenges, ensuring alignment with mission requirements and customer expectations. Our fast-paced, startup environment demands a proactive, adaptable leader who thrives in high-stakes scenarios, navigates ambiguity, and delivers results under aggressive timelines. If you are a self-starter with a passion for innovation in space systems, a drive to solve previously unsolved problems, and a commitment to delivering world class satellite solutions, we want you on our team. Responsibilities Program Leadership: Develop and manage engineering and program schedule, vehicle design, critical performance trades, resource allocation, and mission success Strategic Development: Define bus-level milestones, requirements, and long-term objectives in collaboration with stakeholders Program Execution: Drive engineering and flight readiness activities to meet mission and contract commitments Cross-Functional Integration: Work closely with engineering teams to assess vehicle readiness, manage technical changes, and mitigate risks Systems Development: Establish and improve engineering processes, reviews, and analysis frameworks to support K2 growth Design Reliability: Support internal design reviews and development ensuring adherence to requirements and high reliability Operate effectively in a rapidly evolving startup where agility, autonomy, and proactive problem-solving are essential Qualifications Bachelor's degree in electrical, aerospace, mechanical, computer, or other relevant engineering discipline 6+ years of experience in technical aerospace or manufacturing 3+ years of experience managing projects, technical trades, and/or technical teams Strong understanding of launch vehicles, spacecraft, or other aerospace systems Exceptional written and verbal communication skills Nice to Have Master's degree or PhD in an engineering or science discipline 10+ years of experience in technical aerospace or manufacturing 5+ years of experience managing projects or technical trades Active Top Secret or TS/SCI clearance Experience leading Spacecraft mission design, development, integration, test, and/or launch across multiple departments Proven ability to innovate in process improvement and system architectures Skilled in generating executive summaries to drive decision making through senior leadership discussions Familiarity with contracts and mission requirements evaluations Demonstrated track record of project ownership, responsibility for execution, and successful outcomes Ability to travel up to 25% of the time Compensation and Benefits Base salary range for this role is $175,000 - $200,000 + equity in the company Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level Comprehensive benefits package including paid time off, medical/dental/vision coverage, life insurance, paid parental leave, and many other perks If you don't meet 100% of the preferred skills and experience, we encourage you to still apply! Building a spacecraft unlike any other requires a team unlike any other and non-traditional career twists and turns are encouraged! If you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know. Export Compliance As defined in the ITAR, "U.S. Persons" include U.S. citizens, lawful permanent residents (i.e., Green Card holders), and certain protected individuals (e.g., refugees/asylees, American Samoans). Please consult with a knowledgeable advisor if you are unsure whether you are a "U.S. Person." The person hired for this role will have access to information and items controlled by U.S. export control regulations, including the export control regulations outlined in the International Traffic in Arms Regulation (ITAR). The person hired for this role must therefore either be a "U.S. person" as defined by 22 C.F.R. 120.15 or otherwise eligible for a federally issued export control license. Equal Opportunity K2 Space is an Equal Opportunity Employer; employment with K2 Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Head of Product Design will define and lead the user experience vision for Hivemind, Shield AI's autonomy development platform. This role is responsible for transforming complex autonomy, robotics, AI, and developer workflows into intuitive experiences that enable engineers, operators, and organizations to develop and deploy resilient autonomy at scale. A major focus of this role will be shaping the next generation of AI-native and agent-driven workflows across the autonomy lifecycle. As Hivemind evolves from traditional software tooling toward AI-assisted autonomy development, simulation, evaluation, deployment, and operations, this leader will help invent entirely new ways for users to collaborate with AI systems, agents, and foundation-model-powered tools. The ideal candidate has deep experience designing AI products, developer platforms, or complex technical systems and can translate emerging AI capabilities into workflows that dramatically improve user productivity and outcomes. This is a highly hands-on role as this leader will manage a team of elite designers. During the first 6-12 months, most of the time will be spent conducting user research, designing experiences, prototyping concepts, facilitating product discovery, and partnering directly with Product and Engineering teams to define the future of autonomy development. What you'll do:User Research & Product Discovery Lead customer research efforts across product development, customer engagement, and solutions teams to identify pain points, workflows, unmet needs, and product opportunities. Establish scalable mechanisms for gathering, synthesizing, and communicating user insights throughout the product development lifecycle. Translate customer and operational feedback into actionable product recommendations, requirements, and design initiatives. Product Design & User Experience Design end-to-end workflows across autonomy development, simulation, testing, analysis, deployment, and operations. Create intuitive experiences for highly technical users including autonomy engineers, software developers, operators, and mission planners. Simplify complex system architectures, data flows, infrastructure tooling, and AI workflows into understandable user experiences. Own the end-to-end experience of the product including training, documentation, tutorials, and overall workflows - help our users get the most of the product. Strategic Product Leadership Partner closely with Product Managers to shape product vision, roadmap priorities, and go-to-market strategies. Drive alignment across Product, Engineering, Design, and Executive Leadership through compelling narratives, prototypes, and visual storytelling. Advocate for user-centered decision making in a highly technical and engineering-driven environment. Design Practice, Systems & Organizational Scale Establish and evolve design standards, design systems, UX principles, and product design best practices across Shield AI. Raise the quality bar for product design, usability, consistency, and customer experience. Grow the product design function by mentoring a small team of designers, shaping design culture, and staying actively involved in critical design work. Champion design wins and impact across the organization, highlighting the important role design plays in delivering successful products. AI-Native Product Design & Agentic Workflows Define the future user experience for AI-assisted autonomy development, simulation, testing, deployment, and operational workflows. Design human-AI collaboration models that enable users to effectively leverage AI agents, copilots, and foundation-model-powered systems. Partner with Product, AI Research, and Engineering teams to create new interaction patterns for agent orchestration, autonomy generation, scenario creation, test generation, and mission planning. Develop frameworks for trust, transparency, explainability, and human oversight within AI-assisted workflows. Help establish industry-leading design patterns for Physical AI development platforms and agent-driven software systems. Required qualifications: 10+ years of experience in Product Design, UX Design, Human Factors, or related fields. Proven track record designing and shipping complex technical products, developer tools, platforms, infrastructure software, data-dense applications, or enterprise systems. Deep technical fluency and ability to effectively collaborate with senior engineering leaders on architecture, technical constraints, and software development workflows. Strong experience conducting user research and translating insights into product strategy and design solutions. Proven ability to influence product direction and organizational decisions without direct authority. Strong understanding of AI-powered product experiences, including conversational interfaces, human-in-the-loop workflows, AI-assisted decision making, and agent-based systems. Experience defining new user experiences in ambiguous technology spaces where industry standards and workflows are still emerging. Experience building and retaining high-performing design teams. Strong portfolio showcasing both strategic thinking and hands-on design execution. Preferred qualifications: Background designing developer platforms, SDKs, cloud infrastructure products, DevOps tooling, or engineering productivity tools. Direct work on AI/ML platforms, MLOps workflows, foundation-model-enabled products, copilots, or agentic systems. Familiarity with autonomy, robotics, simulation, digital twins, mission systems, physical AI, or related development workflows including testing, evaluation, deployment, and operations. Portfolio examples involving command-and-control systems, mission-planning interfaces, operational dashboards, or real-time decision-support tools. Ability to design across integrated hardware/software systems. Domain exposure to defense technology, aerospace, robotics, or other regulated, mission-critical, or high-consequence operational environments. San Diego, CA and Washington, D.C. pay range: $230,000 - $350,000 San Mateo, CA pay range: $280,000 - $420,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
09/28/2026
Full time
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Head of Product Design will define and lead the user experience vision for Hivemind, Shield AI's autonomy development platform. This role is responsible for transforming complex autonomy, robotics, AI, and developer workflows into intuitive experiences that enable engineers, operators, and organizations to develop and deploy resilient autonomy at scale. A major focus of this role will be shaping the next generation of AI-native and agent-driven workflows across the autonomy lifecycle. As Hivemind evolves from traditional software tooling toward AI-assisted autonomy development, simulation, evaluation, deployment, and operations, this leader will help invent entirely new ways for users to collaborate with AI systems, agents, and foundation-model-powered tools. The ideal candidate has deep experience designing AI products, developer platforms, or complex technical systems and can translate emerging AI capabilities into workflows that dramatically improve user productivity and outcomes. This is a highly hands-on role as this leader will manage a team of elite designers. During the first 6-12 months, most of the time will be spent conducting user research, designing experiences, prototyping concepts, facilitating product discovery, and partnering directly with Product and Engineering teams to define the future of autonomy development. What you'll do:User Research & Product Discovery Lead customer research efforts across product development, customer engagement, and solutions teams to identify pain points, workflows, unmet needs, and product opportunities. Establish scalable mechanisms for gathering, synthesizing, and communicating user insights throughout the product development lifecycle. Translate customer and operational feedback into actionable product recommendations, requirements, and design initiatives. Product Design & User Experience Design end-to-end workflows across autonomy development, simulation, testing, analysis, deployment, and operations. Create intuitive experiences for highly technical users including autonomy engineers, software developers, operators, and mission planners. Simplify complex system architectures, data flows, infrastructure tooling, and AI workflows into understandable user experiences. Own the end-to-end experience of the product including training, documentation, tutorials, and overall workflows - help our users get the most of the product. Strategic Product Leadership Partner closely with Product Managers to shape product vision, roadmap priorities, and go-to-market strategies. Drive alignment across Product, Engineering, Design, and Executive Leadership through compelling narratives, prototypes, and visual storytelling. Advocate for user-centered decision making in a highly technical and engineering-driven environment. Design Practice, Systems & Organizational Scale Establish and evolve design standards, design systems, UX principles, and product design best practices across Shield AI. Raise the quality bar for product design, usability, consistency, and customer experience. Grow the product design function by mentoring a small team of designers, shaping design culture, and staying actively involved in critical design work. Champion design wins and impact across the organization, highlighting the important role design plays in delivering successful products. AI-Native Product Design & Agentic Workflows Define the future user experience for AI-assisted autonomy development, simulation, testing, deployment, and operational workflows. Design human-AI collaboration models that enable users to effectively leverage AI agents, copilots, and foundation-model-powered systems. Partner with Product, AI Research, and Engineering teams to create new interaction patterns for agent orchestration, autonomy generation, scenario creation, test generation, and mission planning. Develop frameworks for trust, transparency, explainability, and human oversight within AI-assisted workflows. Help establish industry-leading design patterns for Physical AI development platforms and agent-driven software systems. Required qualifications: 10+ years of experience in Product Design, UX Design, Human Factors, or related fields. Proven track record designing and shipping complex technical products, developer tools, platforms, infrastructure software, data-dense applications, or enterprise systems. Deep technical fluency and ability to effectively collaborate with senior engineering leaders on architecture, technical constraints, and software development workflows. Strong experience conducting user research and translating insights into product strategy and design solutions. Proven ability to influence product direction and organizational decisions without direct authority. Strong understanding of AI-powered product experiences, including conversational interfaces, human-in-the-loop workflows, AI-assisted decision making, and agent-based systems. Experience defining new user experiences in ambiguous technology spaces where industry standards and workflows are still emerging. Experience building and retaining high-performing design teams. Strong portfolio showcasing both strategic thinking and hands-on design execution. Preferred qualifications: Background designing developer platforms, SDKs, cloud infrastructure products, DevOps tooling, or engineering productivity tools. Direct work on AI/ML platforms, MLOps workflows, foundation-model-enabled products, copilots, or agentic systems. Familiarity with autonomy, robotics, simulation, digital twins, mission systems, physical AI, or related development workflows including testing, evaluation, deployment, and operations. Portfolio examples involving command-and-control systems, mission-planning interfaces, operational dashboards, or real-time decision-support tools. Ability to design across integrated hardware/software systems. Domain exposure to defense technology, aerospace, robotics, or other regulated, mission-critical, or high-consequence operational environments. San Diego, CA and Washington, D.C. pay range: $230,000 - $350,000 San Mateo, CA pay range: $280,000 - $420,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Head of Product Design will define and lead the user experience vision for Hivemind, Shield AI's autonomy development platform. This role is responsible for transforming complex autonomy, robotics, AI, and developer workflows into intuitive experiences that enable engineers, operators, and organizations to develop and deploy resilient autonomy at scale. A major focus of this role will be shaping the next generation of AI-native and agent-driven workflows across the autonomy lifecycle. As Hivemind evolves from traditional software tooling toward AI-assisted autonomy development, simulation, evaluation, deployment, and operations, this leader will help invent entirely new ways for users to collaborate with AI systems, agents, and foundation-model-powered tools. The ideal candidate has deep experience designing AI products, developer platforms, or complex technical systems and can translate emerging AI capabilities into workflows that dramatically improve user productivity and outcomes. This is a highly hands-on role as this leader will manage a team of elite designers. During the first 6-12 months, most of the time will be spent conducting user research, designing experiences, prototyping concepts, facilitating product discovery, and partnering directly with Product and Engineering teams to define the future of autonomy development. What you'll do:User Research & Product Discovery Lead customer research efforts across product development, customer engagement, and solutions teams to identify pain points, workflows, unmet needs, and product opportunities. Establish scalable mechanisms for gathering, synthesizing, and communicating user insights throughout the product development lifecycle. Translate customer and operational feedback into actionable product recommendations, requirements, and design initiatives. Product Design & User Experience Design end-to-end workflows across autonomy development, simulation, testing, analysis, deployment, and operations. Create intuitive experiences for highly technical users including autonomy engineers, software developers, operators, and mission planners. Simplify complex system architectures, data flows, infrastructure tooling, and AI workflows into understandable user experiences. Own the end-to-end experience of the product including training, documentation, tutorials, and overall workflows - help our users get the most of the product. Strategic Product Leadership Partner closely with Product Managers to shape product vision, roadmap priorities, and go-to-market strategies. Drive alignment across Product, Engineering, Design, and Executive Leadership through compelling narratives, prototypes, and visual storytelling. Advocate for user-centered decision making in a highly technical and engineering-driven environment. Design Practice, Systems & Organizational Scale Establish and evolve design standards, design systems, UX principles, and product design best practices across Shield AI. Raise the quality bar for product design, usability, consistency, and customer experience. Grow the product design function by mentoring a small team of designers, shaping design culture, and staying actively involved in critical design work. Champion design wins and impact across the organization, highlighting the important role design plays in delivering successful products. AI-Native Product Design & Agentic Workflows Define the future user experience for AI-assisted autonomy development, simulation, testing, deployment, and operational workflows. Design human-AI collaboration models that enable users to effectively leverage AI agents, copilots, and foundation-model-powered systems. Partner with Product, AI Research, and Engineering teams to create new interaction patterns for agent orchestration, autonomy generation, scenario creation, test generation, and mission planning. Develop frameworks for trust, transparency, explainability, and human oversight within AI-assisted workflows. Help establish industry-leading design patterns for Physical AI development platforms and agent-driven software systems. Required qualifications: 10+ years of experience in Product Design, UX Design, Human Factors, or related fields. Proven track record designing and shipping complex technical products, developer tools, platforms, infrastructure software, data-dense applications, or enterprise systems. Deep technical fluency and ability to effectively collaborate with senior engineering leaders on architecture, technical constraints, and software development workflows. Strong experience conducting user research and translating insights into product strategy and design solutions. Proven ability to influence product direction and organizational decisions without direct authority. Strong understanding of AI-powered product experiences, including conversational interfaces, human-in-the-loop workflows, AI-assisted decision making, and agent-based systems. Experience defining new user experiences in ambiguous technology spaces where industry standards and workflows are still emerging. Experience building and retaining high-performing design teams. Strong portfolio showcasing both strategic thinking and hands-on design execution. Preferred qualifications: Background designing developer platforms, SDKs, cloud infrastructure products, DevOps tooling, or engineering productivity tools. Direct work on AI/ML platforms, MLOps workflows, foundation-model-enabled products, copilots, or agentic systems. Familiarity with autonomy, robotics, simulation, digital twins, mission systems, physical AI, or related development workflows including testing, evaluation, deployment, and operations. Portfolio examples involving command-and-control systems, mission-planning interfaces, operational dashboards, or real-time decision-support tools. Ability to design across integrated hardware/software systems. Domain exposure to defense technology, aerospace, robotics, or other regulated, mission-critical, or high-consequence operational environments. San Diego, CA and Washington, D.C. pay range: $230,000 - $350,000 San Mateo, CA pay range: $280,000 - $420,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
09/28/2026
Full time
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Head of Product Design will define and lead the user experience vision for Hivemind, Shield AI's autonomy development platform. This role is responsible for transforming complex autonomy, robotics, AI, and developer workflows into intuitive experiences that enable engineers, operators, and organizations to develop and deploy resilient autonomy at scale. A major focus of this role will be shaping the next generation of AI-native and agent-driven workflows across the autonomy lifecycle. As Hivemind evolves from traditional software tooling toward AI-assisted autonomy development, simulation, evaluation, deployment, and operations, this leader will help invent entirely new ways for users to collaborate with AI systems, agents, and foundation-model-powered tools. The ideal candidate has deep experience designing AI products, developer platforms, or complex technical systems and can translate emerging AI capabilities into workflows that dramatically improve user productivity and outcomes. This is a highly hands-on role as this leader will manage a team of elite designers. During the first 6-12 months, most of the time will be spent conducting user research, designing experiences, prototyping concepts, facilitating product discovery, and partnering directly with Product and Engineering teams to define the future of autonomy development. What you'll do:User Research & Product Discovery Lead customer research efforts across product development, customer engagement, and solutions teams to identify pain points, workflows, unmet needs, and product opportunities. Establish scalable mechanisms for gathering, synthesizing, and communicating user insights throughout the product development lifecycle. Translate customer and operational feedback into actionable product recommendations, requirements, and design initiatives. Product Design & User Experience Design end-to-end workflows across autonomy development, simulation, testing, analysis, deployment, and operations. Create intuitive experiences for highly technical users including autonomy engineers, software developers, operators, and mission planners. Simplify complex system architectures, data flows, infrastructure tooling, and AI workflows into understandable user experiences. Own the end-to-end experience of the product including training, documentation, tutorials, and overall workflows - help our users get the most of the product. Strategic Product Leadership Partner closely with Product Managers to shape product vision, roadmap priorities, and go-to-market strategies. Drive alignment across Product, Engineering, Design, and Executive Leadership through compelling narratives, prototypes, and visual storytelling. Advocate for user-centered decision making in a highly technical and engineering-driven environment. Design Practice, Systems & Organizational Scale Establish and evolve design standards, design systems, UX principles, and product design best practices across Shield AI. Raise the quality bar for product design, usability, consistency, and customer experience. Grow the product design function by mentoring a small team of designers, shaping design culture, and staying actively involved in critical design work. Champion design wins and impact across the organization, highlighting the important role design plays in delivering successful products. AI-Native Product Design & Agentic Workflows Define the future user experience for AI-assisted autonomy development, simulation, testing, deployment, and operational workflows. Design human-AI collaboration models that enable users to effectively leverage AI agents, copilots, and foundation-model-powered systems. Partner with Product, AI Research, and Engineering teams to create new interaction patterns for agent orchestration, autonomy generation, scenario creation, test generation, and mission planning. Develop frameworks for trust, transparency, explainability, and human oversight within AI-assisted workflows. Help establish industry-leading design patterns for Physical AI development platforms and agent-driven software systems. Required qualifications: 10+ years of experience in Product Design, UX Design, Human Factors, or related fields. Proven track record designing and shipping complex technical products, developer tools, platforms, infrastructure software, data-dense applications, or enterprise systems. Deep technical fluency and ability to effectively collaborate with senior engineering leaders on architecture, technical constraints, and software development workflows. Strong experience conducting user research and translating insights into product strategy and design solutions. Proven ability to influence product direction and organizational decisions without direct authority. Strong understanding of AI-powered product experiences, including conversational interfaces, human-in-the-loop workflows, AI-assisted decision making, and agent-based systems. Experience defining new user experiences in ambiguous technology spaces where industry standards and workflows are still emerging. Experience building and retaining high-performing design teams. Strong portfolio showcasing both strategic thinking and hands-on design execution. Preferred qualifications: Background designing developer platforms, SDKs, cloud infrastructure products, DevOps tooling, or engineering productivity tools. Direct work on AI/ML platforms, MLOps workflows, foundation-model-enabled products, copilots, or agentic systems. Familiarity with autonomy, robotics, simulation, digital twins, mission systems, physical AI, or related development workflows including testing, evaluation, deployment, and operations. Portfolio examples involving command-and-control systems, mission-planning interfaces, operational dashboards, or real-time decision-support tools. Ability to design across integrated hardware/software systems. Domain exposure to defense technology, aerospace, robotics, or other regulated, mission-critical, or high-consequence operational environments. San Diego, CA and Washington, D.C. pay range: $230,000 - $350,000 San Mateo, CA pay range: $280,000 - $420,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description Staff / Principal Platform Engineer Location: New York City Hybrid Department: AI Platform & Infrastructure Team Reports to: Vangie Shue - Principal Engineering Manager About AppGate AppGate secures and protects an organization's most valuable assets with its high performance Zero Trust Network Access (ZTNA) solution and Cyber Advisory Services. AppGate ZTNA is the only direct-routed Zero Trust solution built for peak performance, superior protection and seamless interoperability. AppGate Cyber Advisory Services harden your security posture and ensure business continuity. AppGate safeguards Fortune 500 enterprises and government agencies worldwide. Learn more at About the Role As we expand our platform, we are standing up a new AI Platform & Infrastructure team: the engine room of AppGate's AI strategy. This team owns the infrastructure layer that every next-generation security capability is built on, from network observability to AI-driven threat detection and the secure operation of emerging Agentic AI systems. We're looking for a Staff or Principal Platform Engineer to build and operate the foundational platform behind AppGate's AI products. You combine deep DevOps and cloud infrastructure expertise with hands-on experience operationalizing AI/ML systems, and you treat observability as a first-class engineering discipline. This is a rare opportunity to join a small, private, high-impact company where your work directly shapes the architecture, reliability and core platform that defines the future of security. You'll own the platform spanning APIs, cloud and self-managed solutions and AI/ML infrastructure, and you'll make it fast, reliable and observable at scale. This is a high-leverage, hands-on role for a senior engineer who sets technical direction and still ships. Key Responsibilities Build the Platform: design, build and operate the cloud infrastructure, services and pipelines that AppGate's AI and cloud products run on. Strong experience with self-managed technologies (kafka, elasticsearch) and Kubernetes are a must. Infrastructure as Code & Deployment Orchestration: Terraform and Helm for cloud provisioning, service deployment and configuration management. Implement Observability: instrument APIs, cloud services and AI/ML infrastructure with metrics, logging, tracing and alerting, and define SLOs and operational health metrics that teams trust. Data Platform: real-time and batch data ingestion pipelines, feature stores and data quality. Integrations: third-party connectors, APIs and platform integrations. Operationalize AI/ML: build model serving and inference pipelines, experiment tracking and the MLOps tooling for deployment, versioning, drift monitoring and lifecycle management. Engineer for reliability & automation: apply SRE practices to reduce toil, improve resilience and keep latency and uptime within target across the platform. Automate everything - deliver infrastructure-as-code, CI/CD and self-service tooling so product teams ship safely and quickly. Set technical direction: define platform standards, architecture and best practices, and raise the engineering bar through design reviews and mentorship. Collaborate cross-functionally: partner with data scientists, product teams and leadership to align platform investment with AppGate's strategic vision. Required Qualifications Experience: extensive platform, infrastructure or SRE engineering experience, with a track record of operating production systems at scale. Staff-level candidates typically bring 8+ years and Principal-level candidates 12+ years, though we hire on demonstrated impact. DevOps depth: strong command of infrastructure-as-code (Terraform or equivalent), CI/CD, containers and orchestration (Docker, Kubernetes), and cloud platforms (AWS). Observability expertise: hands-on experience implementing observability across APIs, cloud services and distributed systems using tools such as Prometheus, Grafana, OpenTelemetry, the ELK stack or comparable, including SLO and error-budget practice. Data platform skills: familiarity with real-time and batch ingestion pipelines, feature stores and data quality at production scale. Engineering craft: fluency in a primary backend language (Python, Go or similar) and a strong bias toward automation, testing and reliable, maintainable systems. Leadership: a record of setting technical direction, leading complex initiatives across teams, mentoring senior engineers, while still being very hands-on. Mindset: pragmatic, rigorous and ownership-driven. You thrive in a small, fast-moving environment and enjoy building foundations others depend on. Preferred Qualifications AI/ML infrastructure: experience building or operating model serving, inference pipelines and MLOps tooling such as MLflow, Kubeflow, SageMaker or equivalent, including model deployment, versioning and drift monitoring. Networking & Zero Trust fundamentals: working knowledge of the network and routing layer beneath modern access solutions - TCP/IP, TLS, tunneling/overlay networks, packet routing and filtering, DNS and firewalling - and familiarity with Zero Trust Network Access (ZTNA) or adjacent domains (VPN, SDP, SASE, software-defined networking). You can reason about traffic paths, latency and throughput end-to-end, and instrument the network as a first-class observability signal. Compensation Staff: 185k-225k base Principal: 215k-270k base We offer performance bonuses and considerable equity. AppGate is An Equal Opportunity/Affirmative Action Employer and a federal contractor subject to the Rehabilitation Act of 1973 and the Vietnam Era Veterans Readjustment Assistance Act of 1974 as amended, and their corresponding regulations. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Further, AppGate is an affirmative action employer committed to taking positive steps to employ, advance in employment and otherwise afford equal employment opportunity to protected veterans and individuals with disabilities. In furtherance of AppGate's policy regarding affirmative action and equal employment opportunity, AppGate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company's EEO Coordinator.
09/28/2026
Full time
Job Description Job Description Staff / Principal Platform Engineer Location: New York City Hybrid Department: AI Platform & Infrastructure Team Reports to: Vangie Shue - Principal Engineering Manager About AppGate AppGate secures and protects an organization's most valuable assets with its high performance Zero Trust Network Access (ZTNA) solution and Cyber Advisory Services. AppGate ZTNA is the only direct-routed Zero Trust solution built for peak performance, superior protection and seamless interoperability. AppGate Cyber Advisory Services harden your security posture and ensure business continuity. AppGate safeguards Fortune 500 enterprises and government agencies worldwide. Learn more at About the Role As we expand our platform, we are standing up a new AI Platform & Infrastructure team: the engine room of AppGate's AI strategy. This team owns the infrastructure layer that every next-generation security capability is built on, from network observability to AI-driven threat detection and the secure operation of emerging Agentic AI systems. We're looking for a Staff or Principal Platform Engineer to build and operate the foundational platform behind AppGate's AI products. You combine deep DevOps and cloud infrastructure expertise with hands-on experience operationalizing AI/ML systems, and you treat observability as a first-class engineering discipline. This is a rare opportunity to join a small, private, high-impact company where your work directly shapes the architecture, reliability and core platform that defines the future of security. You'll own the platform spanning APIs, cloud and self-managed solutions and AI/ML infrastructure, and you'll make it fast, reliable and observable at scale. This is a high-leverage, hands-on role for a senior engineer who sets technical direction and still ships. Key Responsibilities Build the Platform: design, build and operate the cloud infrastructure, services and pipelines that AppGate's AI and cloud products run on. Strong experience with self-managed technologies (kafka, elasticsearch) and Kubernetes are a must. Infrastructure as Code & Deployment Orchestration: Terraform and Helm for cloud provisioning, service deployment and configuration management. Implement Observability: instrument APIs, cloud services and AI/ML infrastructure with metrics, logging, tracing and alerting, and define SLOs and operational health metrics that teams trust. Data Platform: real-time and batch data ingestion pipelines, feature stores and data quality. Integrations: third-party connectors, APIs and platform integrations. Operationalize AI/ML: build model serving and inference pipelines, experiment tracking and the MLOps tooling for deployment, versioning, drift monitoring and lifecycle management. Engineer for reliability & automation: apply SRE practices to reduce toil, improve resilience and keep latency and uptime within target across the platform. Automate everything - deliver infrastructure-as-code, CI/CD and self-service tooling so product teams ship safely and quickly. Set technical direction: define platform standards, architecture and best practices, and raise the engineering bar through design reviews and mentorship. Collaborate cross-functionally: partner with data scientists, product teams and leadership to align platform investment with AppGate's strategic vision. Required Qualifications Experience: extensive platform, infrastructure or SRE engineering experience, with a track record of operating production systems at scale. Staff-level candidates typically bring 8+ years and Principal-level candidates 12+ years, though we hire on demonstrated impact. DevOps depth: strong command of infrastructure-as-code (Terraform or equivalent), CI/CD, containers and orchestration (Docker, Kubernetes), and cloud platforms (AWS). Observability expertise: hands-on experience implementing observability across APIs, cloud services and distributed systems using tools such as Prometheus, Grafana, OpenTelemetry, the ELK stack or comparable, including SLO and error-budget practice. Data platform skills: familiarity with real-time and batch ingestion pipelines, feature stores and data quality at production scale. Engineering craft: fluency in a primary backend language (Python, Go or similar) and a strong bias toward automation, testing and reliable, maintainable systems. Leadership: a record of setting technical direction, leading complex initiatives across teams, mentoring senior engineers, while still being very hands-on. Mindset: pragmatic, rigorous and ownership-driven. You thrive in a small, fast-moving environment and enjoy building foundations others depend on. Preferred Qualifications AI/ML infrastructure: experience building or operating model serving, inference pipelines and MLOps tooling such as MLflow, Kubeflow, SageMaker or equivalent, including model deployment, versioning and drift monitoring. Networking & Zero Trust fundamentals: working knowledge of the network and routing layer beneath modern access solutions - TCP/IP, TLS, tunneling/overlay networks, packet routing and filtering, DNS and firewalling - and familiarity with Zero Trust Network Access (ZTNA) or adjacent domains (VPN, SDP, SASE, software-defined networking). You can reason about traffic paths, latency and throughput end-to-end, and instrument the network as a first-class observability signal. Compensation Staff: 185k-225k base Principal: 215k-270k base We offer performance bonuses and considerable equity. AppGate is An Equal Opportunity/Affirmative Action Employer and a federal contractor subject to the Rehabilitation Act of 1973 and the Vietnam Era Veterans Readjustment Assistance Act of 1974 as amended, and their corresponding regulations. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Further, AppGate is an affirmative action employer committed to taking positive steps to employ, advance in employment and otherwise afford equal employment opportunity to protected veterans and individuals with disabilities. In furtherance of AppGate's policy regarding affirmative action and equal employment opportunity, AppGate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company's EEO Coordinator.