Amazon Development Center U.S., Inc.
Boston, Massachusetts
Do you want to join a team of talented software engineers who are helping to revolutionize mobility to the cloud for their customers? AWS is seeking an exceptional developer to work on the challenging problem of accelerating our customer's journey from on-premises computing to running their businesses on AWS. As a senior software developer on the Transform for VMware team, you will be leading the development of an agentic AI based solution that helps large enterprise companies migrate their computing to AWS. Delivering a reliable and high-performance service at AWS scale requires engineers with extraordinary technical expertise and boundless creativity. At Amazon, we also expect engineers like you to interact with customers, to understand our business goals, and to innovate rapidly, delivering high-quality and ground-breaking functionality. What does it take to thrive as a developer at AWS? You need to be creative, curious, responsible, and able to work with others to rapidly turn an idea into working code. You're excited about writing code, implementing big ideas, and helping to coach those around you to raise the team's bar for code quality. You want the opportunity to grow your technical and professional skills while helping AWS grow. You relish the opportunity to dig into complex operational issues and to help customers build the next generation of web applications. You're someone who knows how to work hard and deliver results but is also able to have fun while they are doing it. Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses by harnessing the power of AI. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs to solve their problems. If you're passionate about shaping the future of AI while making a meaningful impact for customers worldwide, we want to hear from you. Key job responsibilities You will be responsible for the overall design and development of our agentic AI solution for the migration of customers' VMware environments into AWS and acting in a lead role in the review of other designs. BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, MA, Boston - 168 400.00 USD annually
04/13/2026
Full time
Do you want to join a team of talented software engineers who are helping to revolutionize mobility to the cloud for their customers? AWS is seeking an exceptional developer to work on the challenging problem of accelerating our customer's journey from on-premises computing to running their businesses on AWS. As a senior software developer on the Transform for VMware team, you will be leading the development of an agentic AI based solution that helps large enterprise companies migrate their computing to AWS. Delivering a reliable and high-performance service at AWS scale requires engineers with extraordinary technical expertise and boundless creativity. At Amazon, we also expect engineers like you to interact with customers, to understand our business goals, and to innovate rapidly, delivering high-quality and ground-breaking functionality. What does it take to thrive as a developer at AWS? You need to be creative, curious, responsible, and able to work with others to rapidly turn an idea into working code. You're excited about writing code, implementing big ideas, and helping to coach those around you to raise the team's bar for code quality. You want the opportunity to grow your technical and professional skills while helping AWS grow. You relish the opportunity to dig into complex operational issues and to help customers build the next generation of web applications. You're someone who knows how to work hard and deliver results but is also able to have fun while they are doing it. Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses by harnessing the power of AI. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs to solve their problems. If you're passionate about shaping the future of AI while making a meaningful impact for customers worldwide, we want to hear from you. Key job responsibilities You will be responsible for the overall design and development of our agentic AI solution for the migration of customers' VMware environments into AWS and acting in a lead role in the review of other designs. BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, MA, Boston - 168 400.00 USD annually
Position Type: Regular Your opportunity At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do. Schwab's AI Strategy & Transformation team-known as AI.x-is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. Senior AI Product Managers on AI.x, play an essential role in advancing Schwab's priorities by driving the development and execution of innovative AI product strategies. This position offers the opportunity to help shape Schwab's future with AI, create transformative solutions that serve millions of clients, and grow your career in one of the most dynamic areas of technology today. As a Senior AI Risk Product Manager on AI.x, you will help advance Schwab's risk management and compliance goals by driving the development and execution of innovative AI product & workflow experiences in partnership with our Risk Management, Compliance, and Cyber teams. Your work will focus on identifying and executing on opportunities to leverage GenAI to enhance control testing and risk monitoring across operational, corporate risk oversight, and cyber risk management. Long term, you will help develop agentic tools that reduce manual burden, improve detection, and drive stronger governance outcomes. This is an opportunity to shape the future of AI-driven risk management , create transformative solutions, and grow your career in one of the most dynamic areas of technology today. What You'll do Collaboratively define the GenAI platform vision and roadmap for risk, compliance, and cyber use cases. Partner with R&D and risk stakeholders to identify impactful projects and define evaluation strategies for measuring and monitoring the quality of generative AI output in risk and compliance contexts. Participate in model validation to ensure continued performance, regulatory alignment, and business value of AI tools. Define metrics to estimate hallucination impact, output acceptance, safety concerns, and compliance effectiveness. Communicate key metrics and risk insights to both technical and non-technical stakeholders, highlighting trends, variance, and business impact. Distill MVPs and iterative deliverables from long-term product visions and goals, focusing on risk and compliance transformation. Champion the near-term product vision, ensuring alignment with Schwab's strategic goals and regulatory requirements. Oversee the product lifecycle from concept to launch, including user research with risk and compliance teams, requirements gathering, and go-to-market strategy. Proactively identify and mitigate risks throughout the product development process, with a focus on regulatory and operational risk. Build enablement and onboarding plans to empower internal risk and compliance teams to leverage platform tools. Rigorously and dynamically prioritize the product roadmap, ensuring the development team is creating value with each iterative delivery. What you have Required Qualification BA/BS degree 7-10+ years of professional IT or Product development experience 5+ years of direct product experience 3+ years of experience working closely with software engineers Demonstrable understanding of generative AI technology, architecture, and terminology including LLMs, RAG, system prompts, agentic, etc. Experience using/building generative AI solutions, ideally in risk, compliance, or cyber domains. Preferred Qualifications: MBA, JD or Graduate degree in Computer Science or other field related to AI. Professional experience in engineering, data science, risk management, compliance, or related field. Experience building Agentic workflows (e.g., with Copilot Studio, Vertex AI Agent builder etc.). Outstanding verbal and written communication skills with demonstrated ability to communicate effectively with all levels of the organization. Familiarity with financial services and the regulations that apply to the industry. Strong business influence skills. Ability to distill strategy, analytics and varied sets of input to drive decisions across stakeholder communities. Building credibility with peers and key stakeholders (at all levels of the organization) to be able to drive action. Ability to develop multiple solutions to the same problem and identify the common failure modes associated with each. Passion for identifying user pain points, generating ideas to relieve them, and acting swiftly to test potential solutions. Self-starter with outstanding organizational skills, attention to detail, and desire to continually reevaluate existing products and processes. Comfort in a dynamic and fast-moving work environment, with a positive attitude and solid work ethic. Curiosity to continually learn and keep up to date with the latest GenAI capabilities. A strong track record of performance. In addition to the salary range, this role is also eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance
04/13/2026
Full time
Position Type: Regular Your opportunity At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do. Schwab's AI Strategy & Transformation team-known as AI.x-is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. Senior AI Product Managers on AI.x, play an essential role in advancing Schwab's priorities by driving the development and execution of innovative AI product strategies. This position offers the opportunity to help shape Schwab's future with AI, create transformative solutions that serve millions of clients, and grow your career in one of the most dynamic areas of technology today. As a Senior AI Risk Product Manager on AI.x, you will help advance Schwab's risk management and compliance goals by driving the development and execution of innovative AI product & workflow experiences in partnership with our Risk Management, Compliance, and Cyber teams. Your work will focus on identifying and executing on opportunities to leverage GenAI to enhance control testing and risk monitoring across operational, corporate risk oversight, and cyber risk management. Long term, you will help develop agentic tools that reduce manual burden, improve detection, and drive stronger governance outcomes. This is an opportunity to shape the future of AI-driven risk management , create transformative solutions, and grow your career in one of the most dynamic areas of technology today. What You'll do Collaboratively define the GenAI platform vision and roadmap for risk, compliance, and cyber use cases. Partner with R&D and risk stakeholders to identify impactful projects and define evaluation strategies for measuring and monitoring the quality of generative AI output in risk and compliance contexts. Participate in model validation to ensure continued performance, regulatory alignment, and business value of AI tools. Define metrics to estimate hallucination impact, output acceptance, safety concerns, and compliance effectiveness. Communicate key metrics and risk insights to both technical and non-technical stakeholders, highlighting trends, variance, and business impact. Distill MVPs and iterative deliverables from long-term product visions and goals, focusing on risk and compliance transformation. Champion the near-term product vision, ensuring alignment with Schwab's strategic goals and regulatory requirements. Oversee the product lifecycle from concept to launch, including user research with risk and compliance teams, requirements gathering, and go-to-market strategy. Proactively identify and mitigate risks throughout the product development process, with a focus on regulatory and operational risk. Build enablement and onboarding plans to empower internal risk and compliance teams to leverage platform tools. Rigorously and dynamically prioritize the product roadmap, ensuring the development team is creating value with each iterative delivery. What you have Required Qualification BA/BS degree 7-10+ years of professional IT or Product development experience 5+ years of direct product experience 3+ years of experience working closely with software engineers Demonstrable understanding of generative AI technology, architecture, and terminology including LLMs, RAG, system prompts, agentic, etc. Experience using/building generative AI solutions, ideally in risk, compliance, or cyber domains. Preferred Qualifications: MBA, JD or Graduate degree in Computer Science or other field related to AI. Professional experience in engineering, data science, risk management, compliance, or related field. Experience building Agentic workflows (e.g., with Copilot Studio, Vertex AI Agent builder etc.). Outstanding verbal and written communication skills with demonstrated ability to communicate effectively with all levels of the organization. Familiarity with financial services and the regulations that apply to the industry. Strong business influence skills. Ability to distill strategy, analytics and varied sets of input to drive decisions across stakeholder communities. Building credibility with peers and key stakeholders (at all levels of the organization) to be able to drive action. Ability to develop multiple solutions to the same problem and identify the common failure modes associated with each. Passion for identifying user pain points, generating ideas to relieve them, and acting swiftly to test potential solutions. Self-starter with outstanding organizational skills, attention to detail, and desire to continually reevaluate existing products and processes. Comfort in a dynamic and fast-moving work environment, with a positive attitude and solid work ethic. Curiosity to continually learn and keep up to date with the latest GenAI capabilities. A strong track record of performance. In addition to the salary range, this role is also eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance
Position Type: Regular Your opportunity At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do. Schwab's AI Strategy & Transformation team-known as AI.x-is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. Senior AI Product Managers on AI.x, play an essential role in advancing Schwab's priorities by driving the development and execution of innovative AI product strategies. This position offers the opportunity to help shape Schwab's future with AI, create transformative solutions that serve millions of clients, and grow your career in one of the most dynamic areas of technology today. As a Senior AI Risk Product Manager on AI.x, you will help advance Schwab's risk management and compliance goals by driving the development and execution of innovative AI product & workflow experiences in partnership with our Risk Management, Compliance, and Cyber teams. Your work will focus on identifying and executing on opportunities to leverage GenAI to enhance control testing and risk monitoring across operational, corporate risk oversight, and cyber risk management. Long term, you will help develop agentic tools that reduce manual burden, improve detection, and drive stronger governance outcomes. This is an opportunity to shape the future of AI-driven risk management , create transformative solutions, and grow your career in one of the most dynamic areas of technology today. What You'll do Collaboratively define the GenAI platform vision and roadmap for risk, compliance, and cyber use cases. Partner with R&D and risk stakeholders to identify impactful projects and define evaluation strategies for measuring and monitoring the quality of generative AI output in risk and compliance contexts. Participate in model validation to ensure continued performance, regulatory alignment, and business value of AI tools. Define metrics to estimate hallucination impact, output acceptance, safety concerns, and compliance effectiveness. Communicate key metrics and risk insights to both technical and non-technical stakeholders, highlighting trends, variance, and business impact. Distill MVPs and iterative deliverables from long-term product visions and goals, focusing on risk and compliance transformation. Champion the near-term product vision, ensuring alignment with Schwab's strategic goals and regulatory requirements. Oversee the product lifecycle from concept to launch, including user research with risk and compliance teams, requirements gathering, and go-to-market strategy. Proactively identify and mitigate risks throughout the product development process, with a focus on regulatory and operational risk. Build enablement and onboarding plans to empower internal risk and compliance teams to leverage platform tools. Rigorously and dynamically prioritize the product roadmap, ensuring the development team is creating value with each iterative delivery. What you have Required Qualification BA/BS degree 7-10+ years of professional IT or Product development experience 5+ years of direct product experience 3+ years of experience working closely with software engineers Demonstrable understanding of generative AI technology, architecture, and terminology including LLMs, RAG, system prompts, agentic, etc. Experience using/building generative AI solutions, ideally in risk, compliance, or cyber domains. Preferred Qualifications: MBA, JD or Graduate degree in Computer Science or other field related to AI. Professional experience in engineering, data science, risk management, compliance, or related field. Experience building Agentic workflows (e.g., with Copilot Studio, Vertex AI Agent builder etc.). Outstanding verbal and written communication skills with demonstrated ability to communicate effectively with all levels of the organization. Familiarity with financial services and the regulations that apply to the industry. Strong business influence skills. Ability to distill strategy, analytics and varied sets of input to drive decisions across stakeholder communities. Building credibility with peers and key stakeholders (at all levels of the organization) to be able to drive action. Ability to develop multiple solutions to the same problem and identify the common failure modes associated with each. Passion for identifying user pain points, generating ideas to relieve them, and acting swiftly to test potential solutions. Self-starter with outstanding organizational skills, attention to detail, and desire to continually reevaluate existing products and processes. Comfort in a dynamic and fast-moving work environment, with a positive attitude and solid work ethic. Curiosity to continually learn and keep up to date with the latest GenAI capabilities. A strong track record of performance. In addition to the salary range, this role is also eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance
04/13/2026
Full time
Position Type: Regular Your opportunity At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do. Schwab's AI Strategy & Transformation team-known as AI.x-is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. Senior AI Product Managers on AI.x, play an essential role in advancing Schwab's priorities by driving the development and execution of innovative AI product strategies. This position offers the opportunity to help shape Schwab's future with AI, create transformative solutions that serve millions of clients, and grow your career in one of the most dynamic areas of technology today. As a Senior AI Risk Product Manager on AI.x, you will help advance Schwab's risk management and compliance goals by driving the development and execution of innovative AI product & workflow experiences in partnership with our Risk Management, Compliance, and Cyber teams. Your work will focus on identifying and executing on opportunities to leverage GenAI to enhance control testing and risk monitoring across operational, corporate risk oversight, and cyber risk management. Long term, you will help develop agentic tools that reduce manual burden, improve detection, and drive stronger governance outcomes. This is an opportunity to shape the future of AI-driven risk management , create transformative solutions, and grow your career in one of the most dynamic areas of technology today. What You'll do Collaboratively define the GenAI platform vision and roadmap for risk, compliance, and cyber use cases. Partner with R&D and risk stakeholders to identify impactful projects and define evaluation strategies for measuring and monitoring the quality of generative AI output in risk and compliance contexts. Participate in model validation to ensure continued performance, regulatory alignment, and business value of AI tools. Define metrics to estimate hallucination impact, output acceptance, safety concerns, and compliance effectiveness. Communicate key metrics and risk insights to both technical and non-technical stakeholders, highlighting trends, variance, and business impact. Distill MVPs and iterative deliverables from long-term product visions and goals, focusing on risk and compliance transformation. Champion the near-term product vision, ensuring alignment with Schwab's strategic goals and regulatory requirements. Oversee the product lifecycle from concept to launch, including user research with risk and compliance teams, requirements gathering, and go-to-market strategy. Proactively identify and mitigate risks throughout the product development process, with a focus on regulatory and operational risk. Build enablement and onboarding plans to empower internal risk and compliance teams to leverage platform tools. Rigorously and dynamically prioritize the product roadmap, ensuring the development team is creating value with each iterative delivery. What you have Required Qualification BA/BS degree 7-10+ years of professional IT or Product development experience 5+ years of direct product experience 3+ years of experience working closely with software engineers Demonstrable understanding of generative AI technology, architecture, and terminology including LLMs, RAG, system prompts, agentic, etc. Experience using/building generative AI solutions, ideally in risk, compliance, or cyber domains. Preferred Qualifications: MBA, JD or Graduate degree in Computer Science or other field related to AI. Professional experience in engineering, data science, risk management, compliance, or related field. Experience building Agentic workflows (e.g., with Copilot Studio, Vertex AI Agent builder etc.). Outstanding verbal and written communication skills with demonstrated ability to communicate effectively with all levels of the organization. Familiarity with financial services and the regulations that apply to the industry. Strong business influence skills. Ability to distill strategy, analytics and varied sets of input to drive decisions across stakeholder communities. Building credibility with peers and key stakeholders (at all levels of the organization) to be able to drive action. Ability to develop multiple solutions to the same problem and identify the common failure modes associated with each. Passion for identifying user pain points, generating ideas to relieve them, and acting swiftly to test potential solutions. Self-starter with outstanding organizational skills, attention to detail, and desire to continually reevaluate existing products and processes. Comfort in a dynamic and fast-moving work environment, with a positive attitude and solid work ethic. Curiosity to continually learn and keep up to date with the latest GenAI capabilities. A strong track record of performance. In addition to the salary range, this role is also eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance
Position Type: Regular Your opportunity At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do. Schwab's AI Strategy & Transformation team-known as AI.x-is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. Senior AI Product Managers on AI.x, play an essential role in advancing Schwab's priorities by driving the development and execution of innovative AI product strategies. This position offers the opportunity to help shape Schwab's future with AI, create transformative solutions that serve millions of clients, and grow your career in one of the most dynamic areas of technology today. As a Senior AI Risk Product Manager on AI.x, you will help advance Schwab's risk management and compliance goals by driving the development and execution of innovative AI product & workflow experiences in partnership with our Risk Management, Compliance, and Cyber teams. Your work will focus on identifying and executing on opportunities to leverage GenAI to enhance control testing and risk monitoring across operational, corporate risk oversight, and cyber risk management. Long term, you will help develop agentic tools that reduce manual burden, improve detection, and drive stronger governance outcomes. This is an opportunity to shape the future of AI-driven risk management , create transformative solutions, and grow your career in one of the most dynamic areas of technology today. What You'll do Collaboratively define the GenAI platform vision and roadmap for risk, compliance, and cyber use cases. Partner with R&D and risk stakeholders to identify impactful projects and define evaluation strategies for measuring and monitoring the quality of generative AI output in risk and compliance contexts. Participate in model validation to ensure continued performance, regulatory alignment, and business value of AI tools. Define metrics to estimate hallucination impact, output acceptance, safety concerns, and compliance effectiveness. Communicate key metrics and risk insights to both technical and non-technical stakeholders, highlighting trends, variance, and business impact. Distill MVPs and iterative deliverables from long-term product visions and goals, focusing on risk and compliance transformation. Champion the near-term product vision, ensuring alignment with Schwab's strategic goals and regulatory requirements. Oversee the product lifecycle from concept to launch, including user research with risk and compliance teams, requirements gathering, and go-to-market strategy. Proactively identify and mitigate risks throughout the product development process, with a focus on regulatory and operational risk. Build enablement and onboarding plans to empower internal risk and compliance teams to leverage platform tools. Rigorously and dynamically prioritize the product roadmap, ensuring the development team is creating value with each iterative delivery. What you have Required Qualification BA/BS degree 7-10+ years of professional IT or Product development experience 5+ years of direct product experience 3+ years of experience working closely with software engineers Demonstrable understanding of generative AI technology, architecture, and terminology including LLMs, RAG, system prompts, agentic, etc. Experience using/building generative AI solutions, ideally in risk, compliance, or cyber domains. Preferred Qualifications: MBA, JD or Graduate degree in Computer Science or other field related to AI. Professional experience in engineering, data science, risk management, compliance, or related field. Experience building Agentic workflows (e.g., with Copilot Studio, Vertex AI Agent builder etc.). Outstanding verbal and written communication skills with demonstrated ability to communicate effectively with all levels of the organization. Familiarity with financial services and the regulations that apply to the industry. Strong business influence skills. Ability to distill strategy, analytics and varied sets of input to drive decisions across stakeholder communities. Building credibility with peers and key stakeholders (at all levels of the organization) to be able to drive action. Ability to develop multiple solutions to the same problem and identify the common failure modes associated with each. Passion for identifying user pain points, generating ideas to relieve them, and acting swiftly to test potential solutions. Self-starter with outstanding organizational skills, attention to detail, and desire to continually reevaluate existing products and processes. Comfort in a dynamic and fast-moving work environment, with a positive attitude and solid work ethic. Curiosity to continually learn and keep up to date with the latest GenAI capabilities. A strong track record of performance. In addition to the salary range, this role is also eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance
04/13/2026
Full time
Position Type: Regular Your opportunity At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do. Schwab's AI Strategy & Transformation team-known as AI.x-is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. Senior AI Product Managers on AI.x, play an essential role in advancing Schwab's priorities by driving the development and execution of innovative AI product strategies. This position offers the opportunity to help shape Schwab's future with AI, create transformative solutions that serve millions of clients, and grow your career in one of the most dynamic areas of technology today. As a Senior AI Risk Product Manager on AI.x, you will help advance Schwab's risk management and compliance goals by driving the development and execution of innovative AI product & workflow experiences in partnership with our Risk Management, Compliance, and Cyber teams. Your work will focus on identifying and executing on opportunities to leverage GenAI to enhance control testing and risk monitoring across operational, corporate risk oversight, and cyber risk management. Long term, you will help develop agentic tools that reduce manual burden, improve detection, and drive stronger governance outcomes. This is an opportunity to shape the future of AI-driven risk management , create transformative solutions, and grow your career in one of the most dynamic areas of technology today. What You'll do Collaboratively define the GenAI platform vision and roadmap for risk, compliance, and cyber use cases. Partner with R&D and risk stakeholders to identify impactful projects and define evaluation strategies for measuring and monitoring the quality of generative AI output in risk and compliance contexts. Participate in model validation to ensure continued performance, regulatory alignment, and business value of AI tools. Define metrics to estimate hallucination impact, output acceptance, safety concerns, and compliance effectiveness. Communicate key metrics and risk insights to both technical and non-technical stakeholders, highlighting trends, variance, and business impact. Distill MVPs and iterative deliverables from long-term product visions and goals, focusing on risk and compliance transformation. Champion the near-term product vision, ensuring alignment with Schwab's strategic goals and regulatory requirements. Oversee the product lifecycle from concept to launch, including user research with risk and compliance teams, requirements gathering, and go-to-market strategy. Proactively identify and mitigate risks throughout the product development process, with a focus on regulatory and operational risk. Build enablement and onboarding plans to empower internal risk and compliance teams to leverage platform tools. Rigorously and dynamically prioritize the product roadmap, ensuring the development team is creating value with each iterative delivery. What you have Required Qualification BA/BS degree 7-10+ years of professional IT or Product development experience 5+ years of direct product experience 3+ years of experience working closely with software engineers Demonstrable understanding of generative AI technology, architecture, and terminology including LLMs, RAG, system prompts, agentic, etc. Experience using/building generative AI solutions, ideally in risk, compliance, or cyber domains. Preferred Qualifications: MBA, JD or Graduate degree in Computer Science or other field related to AI. Professional experience in engineering, data science, risk management, compliance, or related field. Experience building Agentic workflows (e.g., with Copilot Studio, Vertex AI Agent builder etc.). Outstanding verbal and written communication skills with demonstrated ability to communicate effectively with all levels of the organization. Familiarity with financial services and the regulations that apply to the industry. Strong business influence skills. Ability to distill strategy, analytics and varied sets of input to drive decisions across stakeholder communities. Building credibility with peers and key stakeholders (at all levels of the organization) to be able to drive action. Ability to develop multiple solutions to the same problem and identify the common failure modes associated with each. Passion for identifying user pain points, generating ideas to relieve them, and acting swiftly to test potential solutions. Self-starter with outstanding organizational skills, attention to detail, and desire to continually reevaluate existing products and processes. Comfort in a dynamic and fast-moving work environment, with a positive attitude and solid work ethic. Curiosity to continually learn and keep up to date with the latest GenAI capabilities. A strong track record of performance. In addition to the salary range, this role is also eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance
Position Type: Regular Your opportunity At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do. Schwab's AI Strategy & Transformation team-known as AI.x-is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. Senior AI Product Managers on AI.x, play an essential role in advancing Schwab's priorities by driving the development and execution of innovative AI product strategies. This position offers the opportunity to help shape Schwab's future with AI, create transformative solutions that serve millions of clients, and grow your career in one of the most dynamic areas of technology today. As a Senior AI Risk Product Manager on AI.x, you will help advance Schwab's risk management and compliance goals by driving the development and execution of innovative AI product & workflow experiences in partnership with our Risk Management, Compliance, and Cyber teams. Your work will focus on identifying and executing on opportunities to leverage GenAI to enhance control testing and risk monitoring across operational, corporate risk oversight, and cyber risk management. Long term, you will help develop agentic tools that reduce manual burden, improve detection, and drive stronger governance outcomes. This is an opportunity to shape the future of AI-driven risk management , create transformative solutions, and grow your career in one of the most dynamic areas of technology today. What You'll do Collaboratively define the GenAI platform vision and roadmap for risk, compliance, and cyber use cases. Partner with R&D and risk stakeholders to identify impactful projects and define evaluation strategies for measuring and monitoring the quality of generative AI output in risk and compliance contexts. Participate in model validation to ensure continued performance, regulatory alignment, and business value of AI tools. Define metrics to estimate hallucination impact, output acceptance, safety concerns, and compliance effectiveness. Communicate key metrics and risk insights to both technical and non-technical stakeholders, highlighting trends, variance, and business impact. Distill MVPs and iterative deliverables from long-term product visions and goals, focusing on risk and compliance transformation. Champion the near-term product vision, ensuring alignment with Schwab's strategic goals and regulatory requirements. Oversee the product lifecycle from concept to launch, including user research with risk and compliance teams, requirements gathering, and go-to-market strategy. Proactively identify and mitigate risks throughout the product development process, with a focus on regulatory and operational risk. Build enablement and onboarding plans to empower internal risk and compliance teams to leverage platform tools. Rigorously and dynamically prioritize the product roadmap, ensuring the development team is creating value with each iterative delivery. What you have Required Qualification BA/BS degree 7-10+ years of professional IT or Product development experience 5+ years of direct product experience 3+ years of experience working closely with software engineers Demonstrable understanding of generative AI technology, architecture, and terminology including LLMs, RAG, system prompts, agentic, etc. Experience using/building generative AI solutions, ideally in risk, compliance, or cyber domains. Preferred Qualifications: MBA, JD or Graduate degree in Computer Science or other field related to AI. Professional experience in engineering, data science, risk management, compliance, or related field. Experience building Agentic workflows (e.g., with Copilot Studio, Vertex AI Agent builder etc.). Outstanding verbal and written communication skills with demonstrated ability to communicate effectively with all levels of the organization. Familiarity with financial services and the regulations that apply to the industry. Strong business influence skills. Ability to distill strategy, analytics and varied sets of input to drive decisions across stakeholder communities. Building credibility with peers and key stakeholders (at all levels of the organization) to be able to drive action. Ability to develop multiple solutions to the same problem and identify the common failure modes associated with each. Passion for identifying user pain points, generating ideas to relieve them, and acting swiftly to test potential solutions. Self-starter with outstanding organizational skills, attention to detail, and desire to continually reevaluate existing products and processes. Comfort in a dynamic and fast-moving work environment, with a positive attitude and solid work ethic. Curiosity to continually learn and keep up to date with the latest GenAI capabilities. A strong track record of performance. In addition to the salary range, this role is also eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance
04/13/2026
Full time
Position Type: Regular Your opportunity At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do. Schwab's AI Strategy & Transformation team-known as AI.x-is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. Senior AI Product Managers on AI.x, play an essential role in advancing Schwab's priorities by driving the development and execution of innovative AI product strategies. This position offers the opportunity to help shape Schwab's future with AI, create transformative solutions that serve millions of clients, and grow your career in one of the most dynamic areas of technology today. As a Senior AI Risk Product Manager on AI.x, you will help advance Schwab's risk management and compliance goals by driving the development and execution of innovative AI product & workflow experiences in partnership with our Risk Management, Compliance, and Cyber teams. Your work will focus on identifying and executing on opportunities to leverage GenAI to enhance control testing and risk monitoring across operational, corporate risk oversight, and cyber risk management. Long term, you will help develop agentic tools that reduce manual burden, improve detection, and drive stronger governance outcomes. This is an opportunity to shape the future of AI-driven risk management , create transformative solutions, and grow your career in one of the most dynamic areas of technology today. What You'll do Collaboratively define the GenAI platform vision and roadmap for risk, compliance, and cyber use cases. Partner with R&D and risk stakeholders to identify impactful projects and define evaluation strategies for measuring and monitoring the quality of generative AI output in risk and compliance contexts. Participate in model validation to ensure continued performance, regulatory alignment, and business value of AI tools. Define metrics to estimate hallucination impact, output acceptance, safety concerns, and compliance effectiveness. Communicate key metrics and risk insights to both technical and non-technical stakeholders, highlighting trends, variance, and business impact. Distill MVPs and iterative deliverables from long-term product visions and goals, focusing on risk and compliance transformation. Champion the near-term product vision, ensuring alignment with Schwab's strategic goals and regulatory requirements. Oversee the product lifecycle from concept to launch, including user research with risk and compliance teams, requirements gathering, and go-to-market strategy. Proactively identify and mitigate risks throughout the product development process, with a focus on regulatory and operational risk. Build enablement and onboarding plans to empower internal risk and compliance teams to leverage platform tools. Rigorously and dynamically prioritize the product roadmap, ensuring the development team is creating value with each iterative delivery. What you have Required Qualification BA/BS degree 7-10+ years of professional IT or Product development experience 5+ years of direct product experience 3+ years of experience working closely with software engineers Demonstrable understanding of generative AI technology, architecture, and terminology including LLMs, RAG, system prompts, agentic, etc. Experience using/building generative AI solutions, ideally in risk, compliance, or cyber domains. Preferred Qualifications: MBA, JD or Graduate degree in Computer Science or other field related to AI. Professional experience in engineering, data science, risk management, compliance, or related field. Experience building Agentic workflows (e.g., with Copilot Studio, Vertex AI Agent builder etc.). Outstanding verbal and written communication skills with demonstrated ability to communicate effectively with all levels of the organization. Familiarity with financial services and the regulations that apply to the industry. Strong business influence skills. Ability to distill strategy, analytics and varied sets of input to drive decisions across stakeholder communities. Building credibility with peers and key stakeholders (at all levels of the organization) to be able to drive action. Ability to develop multiple solutions to the same problem and identify the common failure modes associated with each. Passion for identifying user pain points, generating ideas to relieve them, and acting swiftly to test potential solutions. Self-starter with outstanding organizational skills, attention to detail, and desire to continually reevaluate existing products and processes. Comfort in a dynamic and fast-moving work environment, with a positive attitude and solid work ethic. Curiosity to continually learn and keep up to date with the latest GenAI capabilities. A strong track record of performance. In addition to the salary range, this role is also eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance
Position Type: Regular Your opportunity At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do. Schwab's AI Strategy & Transformation team-known as AI.x-is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. Senior AI Product Managers on AI.x, play an essential role in advancing Schwab's priorities by driving the development and execution of innovative AI product strategies. This position offers the opportunity to help shape Schwab's future with AI, create transformative solutions that serve millions of clients, and grow your career in one of the most dynamic areas of technology today. As a Senior AI Risk Product Manager on AI.x, you will help advance Schwab's risk management and compliance goals by driving the development and execution of innovative AI product & workflow experiences in partnership with our Risk Management, Compliance, and Cyber teams. Your work will focus on identifying and executing on opportunities to leverage GenAI to enhance control testing and risk monitoring across operational, corporate risk oversight, and cyber risk management. Long term, you will help develop agentic tools that reduce manual burden, improve detection, and drive stronger governance outcomes. This is an opportunity to shape the future of AI-driven risk management , create transformative solutions, and grow your career in one of the most dynamic areas of technology today. What You'll do Collaboratively define the GenAI platform vision and roadmap for risk, compliance, and cyber use cases. Partner with R&D and risk stakeholders to identify impactful projects and define evaluation strategies for measuring and monitoring the quality of generative AI output in risk and compliance contexts. Participate in model validation to ensure continued performance, regulatory alignment, and business value of AI tools. Define metrics to estimate hallucination impact, output acceptance, safety concerns, and compliance effectiveness. Communicate key metrics and risk insights to both technical and non-technical stakeholders, highlighting trends, variance, and business impact. Distill MVPs and iterative deliverables from long-term product visions and goals, focusing on risk and compliance transformation. Champion the near-term product vision, ensuring alignment with Schwab's strategic goals and regulatory requirements. Oversee the product lifecycle from concept to launch, including user research with risk and compliance teams, requirements gathering, and go-to-market strategy. Proactively identify and mitigate risks throughout the product development process, with a focus on regulatory and operational risk. Build enablement and onboarding plans to empower internal risk and compliance teams to leverage platform tools. Rigorously and dynamically prioritize the product roadmap, ensuring the development team is creating value with each iterative delivery. What you have Required Qualification BA/BS degree 7-10+ years of professional IT or Product development experience 5+ years of direct product experience 3+ years of experience working closely with software engineers Demonstrable understanding of generative AI technology, architecture, and terminology including LLMs, RAG, system prompts, agentic, etc. Experience using/building generative AI solutions, ideally in risk, compliance, or cyber domains. Preferred Qualifications: MBA, JD or Graduate degree in Computer Science or other field related to AI. Professional experience in engineering, data science, risk management, compliance, or related field. Experience building Agentic workflows (e.g., with Copilot Studio, Vertex AI Agent builder etc.). Outstanding verbal and written communication skills with demonstrated ability to communicate effectively with all levels of the organization. Familiarity with financial services and the regulations that apply to the industry. Strong business influence skills. Ability to distill strategy, analytics and varied sets of input to drive decisions across stakeholder communities. Building credibility with peers and key stakeholders (at all levels of the organization) to be able to drive action. Ability to develop multiple solutions to the same problem and identify the common failure modes associated with each. Passion for identifying user pain points, generating ideas to relieve them, and acting swiftly to test potential solutions. Self-starter with outstanding organizational skills, attention to detail, and desire to continually reevaluate existing products and processes. Comfort in a dynamic and fast-moving work environment, with a positive attitude and solid work ethic. Curiosity to continually learn and keep up to date with the latest GenAI capabilities. A strong track record of performance. In addition to the salary range, this role is also eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance
04/13/2026
Full time
Position Type: Regular Your opportunity At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do. Schwab's AI Strategy & Transformation team-known as AI.x-is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. Senior AI Product Managers on AI.x, play an essential role in advancing Schwab's priorities by driving the development and execution of innovative AI product strategies. This position offers the opportunity to help shape Schwab's future with AI, create transformative solutions that serve millions of clients, and grow your career in one of the most dynamic areas of technology today. As a Senior AI Risk Product Manager on AI.x, you will help advance Schwab's risk management and compliance goals by driving the development and execution of innovative AI product & workflow experiences in partnership with our Risk Management, Compliance, and Cyber teams. Your work will focus on identifying and executing on opportunities to leverage GenAI to enhance control testing and risk monitoring across operational, corporate risk oversight, and cyber risk management. Long term, you will help develop agentic tools that reduce manual burden, improve detection, and drive stronger governance outcomes. This is an opportunity to shape the future of AI-driven risk management , create transformative solutions, and grow your career in one of the most dynamic areas of technology today. What You'll do Collaboratively define the GenAI platform vision and roadmap for risk, compliance, and cyber use cases. Partner with R&D and risk stakeholders to identify impactful projects and define evaluation strategies for measuring and monitoring the quality of generative AI output in risk and compliance contexts. Participate in model validation to ensure continued performance, regulatory alignment, and business value of AI tools. Define metrics to estimate hallucination impact, output acceptance, safety concerns, and compliance effectiveness. Communicate key metrics and risk insights to both technical and non-technical stakeholders, highlighting trends, variance, and business impact. Distill MVPs and iterative deliverables from long-term product visions and goals, focusing on risk and compliance transformation. Champion the near-term product vision, ensuring alignment with Schwab's strategic goals and regulatory requirements. Oversee the product lifecycle from concept to launch, including user research with risk and compliance teams, requirements gathering, and go-to-market strategy. Proactively identify and mitigate risks throughout the product development process, with a focus on regulatory and operational risk. Build enablement and onboarding plans to empower internal risk and compliance teams to leverage platform tools. Rigorously and dynamically prioritize the product roadmap, ensuring the development team is creating value with each iterative delivery. What you have Required Qualification BA/BS degree 7-10+ years of professional IT or Product development experience 5+ years of direct product experience 3+ years of experience working closely with software engineers Demonstrable understanding of generative AI technology, architecture, and terminology including LLMs, RAG, system prompts, agentic, etc. Experience using/building generative AI solutions, ideally in risk, compliance, or cyber domains. Preferred Qualifications: MBA, JD or Graduate degree in Computer Science or other field related to AI. Professional experience in engineering, data science, risk management, compliance, or related field. Experience building Agentic workflows (e.g., with Copilot Studio, Vertex AI Agent builder etc.). Outstanding verbal and written communication skills with demonstrated ability to communicate effectively with all levels of the organization. Familiarity with financial services and the regulations that apply to the industry. Strong business influence skills. Ability to distill strategy, analytics and varied sets of input to drive decisions across stakeholder communities. Building credibility with peers and key stakeholders (at all levels of the organization) to be able to drive action. Ability to develop multiple solutions to the same problem and identify the common failure modes associated with each. Passion for identifying user pain points, generating ideas to relieve them, and acting swiftly to test potential solutions. Self-starter with outstanding organizational skills, attention to detail, and desire to continually reevaluate existing products and processes. Comfort in a dynamic and fast-moving work environment, with a positive attitude and solid work ethic. Curiosity to continually learn and keep up to date with the latest GenAI capabilities. A strong track record of performance. In addition to the salary range, this role is also eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance
Position Type: Regular Your opportunity At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do. Schwab's AI Strategy & Transformation team-known as AI.x-is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. Senior AI Product Managers on AI.x, play an essential role in advancing Schwab's priorities by driving the development and execution of innovative AI product strategies. This position offers the opportunity to help shape Schwab's future with AI, create transformative solutions that serve millions of clients, and grow your career in one of the most dynamic areas of technology today. As a Senior AI Risk Product Manager on AI.x, you will help advance Schwab's risk management and compliance goals by driving the development and execution of innovative AI product & workflow experiences in partnership with our Risk Management, Compliance, and Cyber teams. Your work will focus on identifying and executing on opportunities to leverage GenAI to enhance control testing and risk monitoring across operational, corporate risk oversight, and cyber risk management. Long term, you will help develop agentic tools that reduce manual burden, improve detection, and drive stronger governance outcomes. This is an opportunity to shape the future of AI-driven risk management , create transformative solutions, and grow your career in one of the most dynamic areas of technology today. What You'll do Collaboratively define the GenAI platform vision and roadmap for risk, compliance, and cyber use cases. Partner with R&D and risk stakeholders to identify impactful projects and define evaluation strategies for measuring and monitoring the quality of generative AI output in risk and compliance contexts. Participate in model validation to ensure continued performance, regulatory alignment, and business value of AI tools. Define metrics to estimate hallucination impact, output acceptance, safety concerns, and compliance effectiveness. Communicate key metrics and risk insights to both technical and non-technical stakeholders, highlighting trends, variance, and business impact. Distill MVPs and iterative deliverables from long-term product visions and goals, focusing on risk and compliance transformation. Champion the near-term product vision, ensuring alignment with Schwab's strategic goals and regulatory requirements. Oversee the product lifecycle from concept to launch, including user research with risk and compliance teams, requirements gathering, and go-to-market strategy. Proactively identify and mitigate risks throughout the product development process, with a focus on regulatory and operational risk. Build enablement and onboarding plans to empower internal risk and compliance teams to leverage platform tools. Rigorously and dynamically prioritize the product roadmap, ensuring the development team is creating value with each iterative delivery. What you have Required Qualification BA/BS degree 7-10+ years of professional IT or Product development experience 5+ years of direct product experience 3+ years of experience working closely with software engineers Demonstrable understanding of generative AI technology, architecture, and terminology including LLMs, RAG, system prompts, agentic, etc. Experience using/building generative AI solutions, ideally in risk, compliance, or cyber domains. Preferred Qualifications: MBA, JD or Graduate degree in Computer Science or other field related to AI. Professional experience in engineering, data science, risk management, compliance, or related field. Experience building Agentic workflows (e.g., with Copilot Studio, Vertex AI Agent builder etc.). Outstanding verbal and written communication skills with demonstrated ability to communicate effectively with all levels of the organization. Familiarity with financial services and the regulations that apply to the industry. Strong business influence skills. Ability to distill strategy, analytics and varied sets of input to drive decisions across stakeholder communities. Building credibility with peers and key stakeholders (at all levels of the organization) to be able to drive action. Ability to develop multiple solutions to the same problem and identify the common failure modes associated with each. Passion for identifying user pain points, generating ideas to relieve them, and acting swiftly to test potential solutions. Self-starter with outstanding organizational skills, attention to detail, and desire to continually reevaluate existing products and processes. Comfort in a dynamic and fast-moving work environment, with a positive attitude and solid work ethic. Curiosity to continually learn and keep up to date with the latest GenAI capabilities. A strong track record of performance. In addition to the salary range, this role is also eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance
04/13/2026
Full time
Position Type: Regular Your opportunity At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do. Schwab's AI Strategy & Transformation team-known as AI.x-is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. Senior AI Product Managers on AI.x, play an essential role in advancing Schwab's priorities by driving the development and execution of innovative AI product strategies. This position offers the opportunity to help shape Schwab's future with AI, create transformative solutions that serve millions of clients, and grow your career in one of the most dynamic areas of technology today. As a Senior AI Risk Product Manager on AI.x, you will help advance Schwab's risk management and compliance goals by driving the development and execution of innovative AI product & workflow experiences in partnership with our Risk Management, Compliance, and Cyber teams. Your work will focus on identifying and executing on opportunities to leverage GenAI to enhance control testing and risk monitoring across operational, corporate risk oversight, and cyber risk management. Long term, you will help develop agentic tools that reduce manual burden, improve detection, and drive stronger governance outcomes. This is an opportunity to shape the future of AI-driven risk management , create transformative solutions, and grow your career in one of the most dynamic areas of technology today. What You'll do Collaboratively define the GenAI platform vision and roadmap for risk, compliance, and cyber use cases. Partner with R&D and risk stakeholders to identify impactful projects and define evaluation strategies for measuring and monitoring the quality of generative AI output in risk and compliance contexts. Participate in model validation to ensure continued performance, regulatory alignment, and business value of AI tools. Define metrics to estimate hallucination impact, output acceptance, safety concerns, and compliance effectiveness. Communicate key metrics and risk insights to both technical and non-technical stakeholders, highlighting trends, variance, and business impact. Distill MVPs and iterative deliverables from long-term product visions and goals, focusing on risk and compliance transformation. Champion the near-term product vision, ensuring alignment with Schwab's strategic goals and regulatory requirements. Oversee the product lifecycle from concept to launch, including user research with risk and compliance teams, requirements gathering, and go-to-market strategy. Proactively identify and mitigate risks throughout the product development process, with a focus on regulatory and operational risk. Build enablement and onboarding plans to empower internal risk and compliance teams to leverage platform tools. Rigorously and dynamically prioritize the product roadmap, ensuring the development team is creating value with each iterative delivery. What you have Required Qualification BA/BS degree 7-10+ years of professional IT or Product development experience 5+ years of direct product experience 3+ years of experience working closely with software engineers Demonstrable understanding of generative AI technology, architecture, and terminology including LLMs, RAG, system prompts, agentic, etc. Experience using/building generative AI solutions, ideally in risk, compliance, or cyber domains. Preferred Qualifications: MBA, JD or Graduate degree in Computer Science or other field related to AI. Professional experience in engineering, data science, risk management, compliance, or related field. Experience building Agentic workflows (e.g., with Copilot Studio, Vertex AI Agent builder etc.). Outstanding verbal and written communication skills with demonstrated ability to communicate effectively with all levels of the organization. Familiarity with financial services and the regulations that apply to the industry. Strong business influence skills. Ability to distill strategy, analytics and varied sets of input to drive decisions across stakeholder communities. Building credibility with peers and key stakeholders (at all levels of the organization) to be able to drive action. Ability to develop multiple solutions to the same problem and identify the common failure modes associated with each. Passion for identifying user pain points, generating ideas to relieve them, and acting swiftly to test potential solutions. Self-starter with outstanding organizational skills, attention to detail, and desire to continually reevaluate existing products and processes. Comfort in a dynamic and fast-moving work environment, with a positive attitude and solid work ethic. Curiosity to continually learn and keep up to date with the latest GenAI capabilities. A strong track record of performance. In addition to the salary range, this role is also eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance
Position Type: Regular Your opportunity At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do. Schwab's AI Strategy & Transformation team-known as AI.x-is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. Senior AI Product Managers on AI.x, play an essential role in advancing Schwab's priorities by driving the development and execution of innovative AI product strategies. This position offers the opportunity to help shape Schwab's future with AI, create transformative solutions that serve millions of clients, and grow your career in one of the most dynamic areas of technology today. As a Senior AI Risk Product Manager on AI.x, you will help advance Schwab's risk management and compliance goals by driving the development and execution of innovative AI product & workflow experiences in partnership with our Risk Management, Compliance, and Cyber teams. Your work will focus on identifying and executing on opportunities to leverage GenAI to enhance control testing and risk monitoring across operational, corporate risk oversight, and cyber risk management. Long term, you will help develop agentic tools that reduce manual burden, improve detection, and drive stronger governance outcomes. This is an opportunity to shape the future of AI-driven risk management , create transformative solutions, and grow your career in one of the most dynamic areas of technology today. What You'll do Collaboratively define the GenAI platform vision and roadmap for risk, compliance, and cyber use cases. Partner with R&D and risk stakeholders to identify impactful projects and define evaluation strategies for measuring and monitoring the quality of generative AI output in risk and compliance contexts. Participate in model validation to ensure continued performance, regulatory alignment, and business value of AI tools. Define metrics to estimate hallucination impact, output acceptance, safety concerns, and compliance effectiveness. Communicate key metrics and risk insights to both technical and non-technical stakeholders, highlighting trends, variance, and business impact. Distill MVPs and iterative deliverables from long-term product visions and goals, focusing on risk and compliance transformation. Champion the near-term product vision, ensuring alignment with Schwab's strategic goals and regulatory requirements. Oversee the product lifecycle from concept to launch, including user research with risk and compliance teams, requirements gathering, and go-to-market strategy. Proactively identify and mitigate risks throughout the product development process, with a focus on regulatory and operational risk. Build enablement and onboarding plans to empower internal risk and compliance teams to leverage platform tools. Rigorously and dynamically prioritize the product roadmap, ensuring the development team is creating value with each iterative delivery. What you have Required Qualification BA/BS degree 7-10+ years of professional IT or Product development experience 5+ years of direct product experience 3+ years of experience working closely with software engineers Demonstrable understanding of generative AI technology, architecture, and terminology including LLMs, RAG, system prompts, agentic, etc. Experience using/building generative AI solutions, ideally in risk, compliance, or cyber domains. Preferred Qualifications: MBA, JD or Graduate degree in Computer Science or other field related to AI. Professional experience in engineering, data science, risk management, compliance, or related field. Experience building Agentic workflows (e.g., with Copilot Studio, Vertex AI Agent builder etc.). Outstanding verbal and written communication skills with demonstrated ability to communicate effectively with all levels of the organization. Familiarity with financial services and the regulations that apply to the industry. Strong business influence skills. Ability to distill strategy, analytics and varied sets of input to drive decisions across stakeholder communities. Building credibility with peers and key stakeholders (at all levels of the organization) to be able to drive action. Ability to develop multiple solutions to the same problem and identify the common failure modes associated with each. Passion for identifying user pain points, generating ideas to relieve them, and acting swiftly to test potential solutions. Self-starter with outstanding organizational skills, attention to detail, and desire to continually reevaluate existing products and processes. Comfort in a dynamic and fast-moving work environment, with a positive attitude and solid work ethic. Curiosity to continually learn and keep up to date with the latest GenAI capabilities. A strong track record of performance. In addition to the salary range, this role is also eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance
04/13/2026
Full time
Position Type: Regular Your opportunity At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do. Schwab's AI Strategy & Transformation team-known as AI.x-is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. Senior AI Product Managers on AI.x, play an essential role in advancing Schwab's priorities by driving the development and execution of innovative AI product strategies. This position offers the opportunity to help shape Schwab's future with AI, create transformative solutions that serve millions of clients, and grow your career in one of the most dynamic areas of technology today. As a Senior AI Risk Product Manager on AI.x, you will help advance Schwab's risk management and compliance goals by driving the development and execution of innovative AI product & workflow experiences in partnership with our Risk Management, Compliance, and Cyber teams. Your work will focus on identifying and executing on opportunities to leverage GenAI to enhance control testing and risk monitoring across operational, corporate risk oversight, and cyber risk management. Long term, you will help develop agentic tools that reduce manual burden, improve detection, and drive stronger governance outcomes. This is an opportunity to shape the future of AI-driven risk management , create transformative solutions, and grow your career in one of the most dynamic areas of technology today. What You'll do Collaboratively define the GenAI platform vision and roadmap for risk, compliance, and cyber use cases. Partner with R&D and risk stakeholders to identify impactful projects and define evaluation strategies for measuring and monitoring the quality of generative AI output in risk and compliance contexts. Participate in model validation to ensure continued performance, regulatory alignment, and business value of AI tools. Define metrics to estimate hallucination impact, output acceptance, safety concerns, and compliance effectiveness. Communicate key metrics and risk insights to both technical and non-technical stakeholders, highlighting trends, variance, and business impact. Distill MVPs and iterative deliverables from long-term product visions and goals, focusing on risk and compliance transformation. Champion the near-term product vision, ensuring alignment with Schwab's strategic goals and regulatory requirements. Oversee the product lifecycle from concept to launch, including user research with risk and compliance teams, requirements gathering, and go-to-market strategy. Proactively identify and mitigate risks throughout the product development process, with a focus on regulatory and operational risk. Build enablement and onboarding plans to empower internal risk and compliance teams to leverage platform tools. Rigorously and dynamically prioritize the product roadmap, ensuring the development team is creating value with each iterative delivery. What you have Required Qualification BA/BS degree 7-10+ years of professional IT or Product development experience 5+ years of direct product experience 3+ years of experience working closely with software engineers Demonstrable understanding of generative AI technology, architecture, and terminology including LLMs, RAG, system prompts, agentic, etc. Experience using/building generative AI solutions, ideally in risk, compliance, or cyber domains. Preferred Qualifications: MBA, JD or Graduate degree in Computer Science or other field related to AI. Professional experience in engineering, data science, risk management, compliance, or related field. Experience building Agentic workflows (e.g., with Copilot Studio, Vertex AI Agent builder etc.). Outstanding verbal and written communication skills with demonstrated ability to communicate effectively with all levels of the organization. Familiarity with financial services and the regulations that apply to the industry. Strong business influence skills. Ability to distill strategy, analytics and varied sets of input to drive decisions across stakeholder communities. Building credibility with peers and key stakeholders (at all levels of the organization) to be able to drive action. Ability to develop multiple solutions to the same problem and identify the common failure modes associated with each. Passion for identifying user pain points, generating ideas to relieve them, and acting swiftly to test potential solutions. Self-starter with outstanding organizational skills, attention to detail, and desire to continually reevaluate existing products and processes. Comfort in a dynamic and fast-moving work environment, with a positive attitude and solid work ethic. Curiosity to continually learn and keep up to date with the latest GenAI capabilities. A strong track record of performance. In addition to the salary range, this role is also eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance
Position Type: Regular Your opportunity At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do. Schwab's AI Strategy & Transformation team-known as AI.x-is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. Senior AI Product Managers on AI.x, play an essential role in advancing Schwab's priorities by driving the development and execution of innovative AI product strategies. This position offers the opportunity to help shape Schwab's future with AI, create transformative solutions that serve millions of clients, and grow your career in one of the most dynamic areas of technology today. As a Senior AI Risk Product Manager on AI.x, you will help advance Schwab's risk management and compliance goals by driving the development and execution of innovative AI product & workflow experiences in partnership with our Risk Management, Compliance, and Cyber teams. Your work will focus on identifying and executing on opportunities to leverage GenAI to enhance control testing and risk monitoring across operational, corporate risk oversight, and cyber risk management. Long term, you will help develop agentic tools that reduce manual burden, improve detection, and drive stronger governance outcomes. This is an opportunity to shape the future of AI-driven risk management , create transformative solutions, and grow your career in one of the most dynamic areas of technology today. What You'll do Collaboratively define the GenAI platform vision and roadmap for risk, compliance, and cyber use cases. Partner with R&D and risk stakeholders to identify impactful projects and define evaluation strategies for measuring and monitoring the quality of generative AI output in risk and compliance contexts. Participate in model validation to ensure continued performance, regulatory alignment, and business value of AI tools. Define metrics to estimate hallucination impact, output acceptance, safety concerns, and compliance effectiveness. Communicate key metrics and risk insights to both technical and non-technical stakeholders, highlighting trends, variance, and business impact. Distill MVPs and iterative deliverables from long-term product visions and goals, focusing on risk and compliance transformation. Champion the near-term product vision, ensuring alignment with Schwab's strategic goals and regulatory requirements. Oversee the product lifecycle from concept to launch, including user research with risk and compliance teams, requirements gathering, and go-to-market strategy. Proactively identify and mitigate risks throughout the product development process, with a focus on regulatory and operational risk. Build enablement and onboarding plans to empower internal risk and compliance teams to leverage platform tools. Rigorously and dynamically prioritize the product roadmap, ensuring the development team is creating value with each iterative delivery. What you have Required Qualification BA/BS degree 7-10+ years of professional IT or Product development experience 5+ years of direct product experience 3+ years of experience working closely with software engineers Demonstrable understanding of generative AI technology, architecture, and terminology including LLMs, RAG, system prompts, agentic, etc. Experience using/building generative AI solutions, ideally in risk, compliance, or cyber domains. Preferred Qualifications: MBA, JD or Graduate degree in Computer Science or other field related to AI. Professional experience in engineering, data science, risk management, compliance, or related field. Experience building Agentic workflows (e.g., with Copilot Studio, Vertex AI Agent builder etc.). Outstanding verbal and written communication skills with demonstrated ability to communicate effectively with all levels of the organization. Familiarity with financial services and the regulations that apply to the industry. Strong business influence skills. Ability to distill strategy, analytics and varied sets of input to drive decisions across stakeholder communities. Building credibility with peers and key stakeholders (at all levels of the organization) to be able to drive action. Ability to develop multiple solutions to the same problem and identify the common failure modes associated with each. Passion for identifying user pain points, generating ideas to relieve them, and acting swiftly to test potential solutions. Self-starter with outstanding organizational skills, attention to detail, and desire to continually reevaluate existing products and processes. Comfort in a dynamic and fast-moving work environment, with a positive attitude and solid work ethic. Curiosity to continually learn and keep up to date with the latest GenAI capabilities. A strong track record of performance. In addition to the salary range, this role is also eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance
04/13/2026
Full time
Position Type: Regular Your opportunity At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do. Schwab's AI Strategy & Transformation team-known as AI.x-is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. Senior AI Product Managers on AI.x, play an essential role in advancing Schwab's priorities by driving the development and execution of innovative AI product strategies. This position offers the opportunity to help shape Schwab's future with AI, create transformative solutions that serve millions of clients, and grow your career in one of the most dynamic areas of technology today. As a Senior AI Risk Product Manager on AI.x, you will help advance Schwab's risk management and compliance goals by driving the development and execution of innovative AI product & workflow experiences in partnership with our Risk Management, Compliance, and Cyber teams. Your work will focus on identifying and executing on opportunities to leverage GenAI to enhance control testing and risk monitoring across operational, corporate risk oversight, and cyber risk management. Long term, you will help develop agentic tools that reduce manual burden, improve detection, and drive stronger governance outcomes. This is an opportunity to shape the future of AI-driven risk management , create transformative solutions, and grow your career in one of the most dynamic areas of technology today. What You'll do Collaboratively define the GenAI platform vision and roadmap for risk, compliance, and cyber use cases. Partner with R&D and risk stakeholders to identify impactful projects and define evaluation strategies for measuring and monitoring the quality of generative AI output in risk and compliance contexts. Participate in model validation to ensure continued performance, regulatory alignment, and business value of AI tools. Define metrics to estimate hallucination impact, output acceptance, safety concerns, and compliance effectiveness. Communicate key metrics and risk insights to both technical and non-technical stakeholders, highlighting trends, variance, and business impact. Distill MVPs and iterative deliverables from long-term product visions and goals, focusing on risk and compliance transformation. Champion the near-term product vision, ensuring alignment with Schwab's strategic goals and regulatory requirements. Oversee the product lifecycle from concept to launch, including user research with risk and compliance teams, requirements gathering, and go-to-market strategy. Proactively identify and mitigate risks throughout the product development process, with a focus on regulatory and operational risk. Build enablement and onboarding plans to empower internal risk and compliance teams to leverage platform tools. Rigorously and dynamically prioritize the product roadmap, ensuring the development team is creating value with each iterative delivery. What you have Required Qualification BA/BS degree 7-10+ years of professional IT or Product development experience 5+ years of direct product experience 3+ years of experience working closely with software engineers Demonstrable understanding of generative AI technology, architecture, and terminology including LLMs, RAG, system prompts, agentic, etc. Experience using/building generative AI solutions, ideally in risk, compliance, or cyber domains. Preferred Qualifications: MBA, JD or Graduate degree in Computer Science or other field related to AI. Professional experience in engineering, data science, risk management, compliance, or related field. Experience building Agentic workflows (e.g., with Copilot Studio, Vertex AI Agent builder etc.). Outstanding verbal and written communication skills with demonstrated ability to communicate effectively with all levels of the organization. Familiarity with financial services and the regulations that apply to the industry. Strong business influence skills. Ability to distill strategy, analytics and varied sets of input to drive decisions across stakeholder communities. Building credibility with peers and key stakeholders (at all levels of the organization) to be able to drive action. Ability to develop multiple solutions to the same problem and identify the common failure modes associated with each. Passion for identifying user pain points, generating ideas to relieve them, and acting swiftly to test potential solutions. Self-starter with outstanding organizational skills, attention to detail, and desire to continually reevaluate existing products and processes. Comfort in a dynamic and fast-moving work environment, with a positive attitude and solid work ethic. Curiosity to continually learn and keep up to date with the latest GenAI capabilities. A strong track record of performance. In addition to the salary range, this role is also eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance
Position Type: Regular Your opportunity At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do. Schwab's AI Strategy & Transformation team-known as AI.x-is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. Senior AI Product Managers on AI.x, play an essential role in advancing Schwab's priorities by driving the development and execution of innovative AI product strategies. This position offers the opportunity to help shape Schwab's future with AI, create transformative solutions that serve millions of clients, and grow your career in one of the most dynamic areas of technology today. As a Senior AI Risk Product Manager on AI.x, you will help advance Schwab's risk management and compliance goals by driving the development and execution of innovative AI product & workflow experiences in partnership with our Risk Management, Compliance, and Cyber teams. Your work will focus on identifying and executing on opportunities to leverage GenAI to enhance control testing and risk monitoring across operational, corporate risk oversight, and cyber risk management. Long term, you will help develop agentic tools that reduce manual burden, improve detection, and drive stronger governance outcomes. This is an opportunity to shape the future of AI-driven risk management , create transformative solutions, and grow your career in one of the most dynamic areas of technology today. What You'll do Collaboratively define the GenAI platform vision and roadmap for risk, compliance, and cyber use cases. Partner with R&D and risk stakeholders to identify impactful projects and define evaluation strategies for measuring and monitoring the quality of generative AI output in risk and compliance contexts. Participate in model validation to ensure continued performance, regulatory alignment, and business value of AI tools. Define metrics to estimate hallucination impact, output acceptance, safety concerns, and compliance effectiveness. Communicate key metrics and risk insights to both technical and non-technical stakeholders, highlighting trends, variance, and business impact. Distill MVPs and iterative deliverables from long-term product visions and goals, focusing on risk and compliance transformation. Champion the near-term product vision, ensuring alignment with Schwab's strategic goals and regulatory requirements. Oversee the product lifecycle from concept to launch, including user research with risk and compliance teams, requirements gathering, and go-to-market strategy. Proactively identify and mitigate risks throughout the product development process, with a focus on regulatory and operational risk. Build enablement and onboarding plans to empower internal risk and compliance teams to leverage platform tools. Rigorously and dynamically prioritize the product roadmap, ensuring the development team is creating value with each iterative delivery. What you have Required Qualification BA/BS degree 7-10+ years of professional IT or Product development experience 5+ years of direct product experience 3+ years of experience working closely with software engineers Demonstrable understanding of generative AI technology, architecture, and terminology including LLMs, RAG, system prompts, agentic, etc. Experience using/building generative AI solutions, ideally in risk, compliance, or cyber domains. Preferred Qualifications: MBA, JD or Graduate degree in Computer Science or other field related to AI. Professional experience in engineering, data science, risk management, compliance, or related field. Experience building Agentic workflows (e.g., with Copilot Studio, Vertex AI Agent builder etc.). Outstanding verbal and written communication skills with demonstrated ability to communicate effectively with all levels of the organization. Familiarity with financial services and the regulations that apply to the industry. Strong business influence skills. Ability to distill strategy, analytics and varied sets of input to drive decisions across stakeholder communities. Building credibility with peers and key stakeholders (at all levels of the organization) to be able to drive action. Ability to develop multiple solutions to the same problem and identify the common failure modes associated with each. Passion for identifying user pain points, generating ideas to relieve them, and acting swiftly to test potential solutions. Self-starter with outstanding organizational skills, attention to detail, and desire to continually reevaluate existing products and processes. Comfort in a dynamic and fast-moving work environment, with a positive attitude and solid work ethic. Curiosity to continually learn and keep up to date with the latest GenAI capabilities. A strong track record of performance. In addition to the salary range, this role is also eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance
04/13/2026
Full time
Position Type: Regular Your opportunity At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do. Schwab's AI Strategy & Transformation team-known as AI.x-is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. Senior AI Product Managers on AI.x, play an essential role in advancing Schwab's priorities by driving the development and execution of innovative AI product strategies. This position offers the opportunity to help shape Schwab's future with AI, create transformative solutions that serve millions of clients, and grow your career in one of the most dynamic areas of technology today. As a Senior AI Risk Product Manager on AI.x, you will help advance Schwab's risk management and compliance goals by driving the development and execution of innovative AI product & workflow experiences in partnership with our Risk Management, Compliance, and Cyber teams. Your work will focus on identifying and executing on opportunities to leverage GenAI to enhance control testing and risk monitoring across operational, corporate risk oversight, and cyber risk management. Long term, you will help develop agentic tools that reduce manual burden, improve detection, and drive stronger governance outcomes. This is an opportunity to shape the future of AI-driven risk management , create transformative solutions, and grow your career in one of the most dynamic areas of technology today. What You'll do Collaboratively define the GenAI platform vision and roadmap for risk, compliance, and cyber use cases. Partner with R&D and risk stakeholders to identify impactful projects and define evaluation strategies for measuring and monitoring the quality of generative AI output in risk and compliance contexts. Participate in model validation to ensure continued performance, regulatory alignment, and business value of AI tools. Define metrics to estimate hallucination impact, output acceptance, safety concerns, and compliance effectiveness. Communicate key metrics and risk insights to both technical and non-technical stakeholders, highlighting trends, variance, and business impact. Distill MVPs and iterative deliverables from long-term product visions and goals, focusing on risk and compliance transformation. Champion the near-term product vision, ensuring alignment with Schwab's strategic goals and regulatory requirements. Oversee the product lifecycle from concept to launch, including user research with risk and compliance teams, requirements gathering, and go-to-market strategy. Proactively identify and mitigate risks throughout the product development process, with a focus on regulatory and operational risk. Build enablement and onboarding plans to empower internal risk and compliance teams to leverage platform tools. Rigorously and dynamically prioritize the product roadmap, ensuring the development team is creating value with each iterative delivery. What you have Required Qualification BA/BS degree 7-10+ years of professional IT or Product development experience 5+ years of direct product experience 3+ years of experience working closely with software engineers Demonstrable understanding of generative AI technology, architecture, and terminology including LLMs, RAG, system prompts, agentic, etc. Experience using/building generative AI solutions, ideally in risk, compliance, or cyber domains. Preferred Qualifications: MBA, JD or Graduate degree in Computer Science or other field related to AI. Professional experience in engineering, data science, risk management, compliance, or related field. Experience building Agentic workflows (e.g., with Copilot Studio, Vertex AI Agent builder etc.). Outstanding verbal and written communication skills with demonstrated ability to communicate effectively with all levels of the organization. Familiarity with financial services and the regulations that apply to the industry. Strong business influence skills. Ability to distill strategy, analytics and varied sets of input to drive decisions across stakeholder communities. Building credibility with peers and key stakeholders (at all levels of the organization) to be able to drive action. Ability to develop multiple solutions to the same problem and identify the common failure modes associated with each. Passion for identifying user pain points, generating ideas to relieve them, and acting swiftly to test potential solutions. Self-starter with outstanding organizational skills, attention to detail, and desire to continually reevaluate existing products and processes. Comfort in a dynamic and fast-moving work environment, with a positive attitude and solid work ethic. Curiosity to continually learn and keep up to date with the latest GenAI capabilities. A strong track record of performance. In addition to the salary range, this role is also eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance
Position Type: Regular Your opportunity At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do. Schwab's AI Strategy & Transformation team-known as AI.x-is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. Senior AI Product Managers on AI.x, play an essential role in advancing Schwab's priorities by driving the development and execution of innovative AI product strategies. This position offers the opportunity to help shape Schwab's future with AI, create transformative solutions that serve millions of clients, and grow your career in one of the most dynamic areas of technology today. As a Senior AI Risk Product Manager on AI.x, you will help advance Schwab's risk management and compliance goals by driving the development and execution of innovative AI product & workflow experiences in partnership with our Risk Management, Compliance, and Cyber teams. Your work will focus on identifying and executing on opportunities to leverage GenAI to enhance control testing and risk monitoring across operational, corporate risk oversight, and cyber risk management. Long term, you will help develop agentic tools that reduce manual burden, improve detection, and drive stronger governance outcomes. This is an opportunity to shape the future of AI-driven risk management , create transformative solutions, and grow your career in one of the most dynamic areas of technology today. What You'll do Collaboratively define the GenAI platform vision and roadmap for risk, compliance, and cyber use cases. Partner with R&D and risk stakeholders to identify impactful projects and define evaluation strategies for measuring and monitoring the quality of generative AI output in risk and compliance contexts. Participate in model validation to ensure continued performance, regulatory alignment, and business value of AI tools. Define metrics to estimate hallucination impact, output acceptance, safety concerns, and compliance effectiveness. Communicate key metrics and risk insights to both technical and non-technical stakeholders, highlighting trends, variance, and business impact. Distill MVPs and iterative deliverables from long-term product visions and goals, focusing on risk and compliance transformation. Champion the near-term product vision, ensuring alignment with Schwab's strategic goals and regulatory requirements. Oversee the product lifecycle from concept to launch, including user research with risk and compliance teams, requirements gathering, and go-to-market strategy. Proactively identify and mitigate risks throughout the product development process, with a focus on regulatory and operational risk. Build enablement and onboarding plans to empower internal risk and compliance teams to leverage platform tools. Rigorously and dynamically prioritize the product roadmap, ensuring the development team is creating value with each iterative delivery. What you have Required Qualification BA/BS degree 7-10+ years of professional IT or Product development experience 5+ years of direct product experience 3+ years of experience working closely with software engineers Demonstrable understanding of generative AI technology, architecture, and terminology including LLMs, RAG, system prompts, agentic, etc. Experience using/building generative AI solutions, ideally in risk, compliance, or cyber domains. Preferred Qualifications: MBA, JD or Graduate degree in Computer Science or other field related to AI. Professional experience in engineering, data science, risk management, compliance, or related field. Experience building Agentic workflows (e.g., with Copilot Studio, Vertex AI Agent builder etc.). Outstanding verbal and written communication skills with demonstrated ability to communicate effectively with all levels of the organization. Familiarity with financial services and the regulations that apply to the industry. Strong business influence skills. Ability to distill strategy, analytics and varied sets of input to drive decisions across stakeholder communities. Building credibility with peers and key stakeholders (at all levels of the organization) to be able to drive action. Ability to develop multiple solutions to the same problem and identify the common failure modes associated with each. Passion for identifying user pain points, generating ideas to relieve them, and acting swiftly to test potential solutions. Self-starter with outstanding organizational skills, attention to detail, and desire to continually reevaluate existing products and processes. Comfort in a dynamic and fast-moving work environment, with a positive attitude and solid work ethic. Curiosity to continually learn and keep up to date with the latest GenAI capabilities. A strong track record of performance. In addition to the salary range, this role is also eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance
04/13/2026
Full time
Position Type: Regular Your opportunity At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do. Schwab's AI Strategy & Transformation team-known as AI.x-is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. Senior AI Product Managers on AI.x, play an essential role in advancing Schwab's priorities by driving the development and execution of innovative AI product strategies. This position offers the opportunity to help shape Schwab's future with AI, create transformative solutions that serve millions of clients, and grow your career in one of the most dynamic areas of technology today. As a Senior AI Risk Product Manager on AI.x, you will help advance Schwab's risk management and compliance goals by driving the development and execution of innovative AI product & workflow experiences in partnership with our Risk Management, Compliance, and Cyber teams. Your work will focus on identifying and executing on opportunities to leverage GenAI to enhance control testing and risk monitoring across operational, corporate risk oversight, and cyber risk management. Long term, you will help develop agentic tools that reduce manual burden, improve detection, and drive stronger governance outcomes. This is an opportunity to shape the future of AI-driven risk management , create transformative solutions, and grow your career in one of the most dynamic areas of technology today. What You'll do Collaboratively define the GenAI platform vision and roadmap for risk, compliance, and cyber use cases. Partner with R&D and risk stakeholders to identify impactful projects and define evaluation strategies for measuring and monitoring the quality of generative AI output in risk and compliance contexts. Participate in model validation to ensure continued performance, regulatory alignment, and business value of AI tools. Define metrics to estimate hallucination impact, output acceptance, safety concerns, and compliance effectiveness. Communicate key metrics and risk insights to both technical and non-technical stakeholders, highlighting trends, variance, and business impact. Distill MVPs and iterative deliverables from long-term product visions and goals, focusing on risk and compliance transformation. Champion the near-term product vision, ensuring alignment with Schwab's strategic goals and regulatory requirements. Oversee the product lifecycle from concept to launch, including user research with risk and compliance teams, requirements gathering, and go-to-market strategy. Proactively identify and mitigate risks throughout the product development process, with a focus on regulatory and operational risk. Build enablement and onboarding plans to empower internal risk and compliance teams to leverage platform tools. Rigorously and dynamically prioritize the product roadmap, ensuring the development team is creating value with each iterative delivery. What you have Required Qualification BA/BS degree 7-10+ years of professional IT or Product development experience 5+ years of direct product experience 3+ years of experience working closely with software engineers Demonstrable understanding of generative AI technology, architecture, and terminology including LLMs, RAG, system prompts, agentic, etc. Experience using/building generative AI solutions, ideally in risk, compliance, or cyber domains. Preferred Qualifications: MBA, JD or Graduate degree in Computer Science or other field related to AI. Professional experience in engineering, data science, risk management, compliance, or related field. Experience building Agentic workflows (e.g., with Copilot Studio, Vertex AI Agent builder etc.). Outstanding verbal and written communication skills with demonstrated ability to communicate effectively with all levels of the organization. Familiarity with financial services and the regulations that apply to the industry. Strong business influence skills. Ability to distill strategy, analytics and varied sets of input to drive decisions across stakeholder communities. Building credibility with peers and key stakeholders (at all levels of the organization) to be able to drive action. Ability to develop multiple solutions to the same problem and identify the common failure modes associated with each. Passion for identifying user pain points, generating ideas to relieve them, and acting swiftly to test potential solutions. Self-starter with outstanding organizational skills, attention to detail, and desire to continually reevaluate existing products and processes. Comfort in a dynamic and fast-moving work environment, with a positive attitude and solid work ethic. Curiosity to continually learn and keep up to date with the latest GenAI capabilities. A strong track record of performance. In addition to the salary range, this role is also eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance
Position Type: Regular Your opportunity At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do. Schwab's AI Strategy & Transformation team-known as AI.x-is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. Senior AI Product Managers on AI.x, play an essential role in advancing Schwab's priorities by driving the development and execution of innovative AI product strategies. This position offers the opportunity to help shape Schwab's future with AI, create transformative solutions that serve millions of clients, and grow your career in one of the most dynamic areas of technology today. As a Senior AI Risk Product Manager on AI.x, you will help advance Schwab's risk management and compliance goals by driving the development and execution of innovative AI product & workflow experiences in partnership with our Risk Management, Compliance, and Cyber teams. Your work will focus on identifying and executing on opportunities to leverage GenAI to enhance control testing and risk monitoring across operational, corporate risk oversight, and cyber risk management. Long term, you will help develop agentic tools that reduce manual burden, improve detection, and drive stronger governance outcomes. This is an opportunity to shape the future of AI-driven risk management , create transformative solutions, and grow your career in one of the most dynamic areas of technology today. What You'll do Collaboratively define the GenAI platform vision and roadmap for risk, compliance, and cyber use cases. Partner with R&D and risk stakeholders to identify impactful projects and define evaluation strategies for measuring and monitoring the quality of generative AI output in risk and compliance contexts. Participate in model validation to ensure continued performance, regulatory alignment, and business value of AI tools. Define metrics to estimate hallucination impact, output acceptance, safety concerns, and compliance effectiveness. Communicate key metrics and risk insights to both technical and non-technical stakeholders, highlighting trends, variance, and business impact. Distill MVPs and iterative deliverables from long-term product visions and goals, focusing on risk and compliance transformation. Champion the near-term product vision, ensuring alignment with Schwab's strategic goals and regulatory requirements. Oversee the product lifecycle from concept to launch, including user research with risk and compliance teams, requirements gathering, and go-to-market strategy. Proactively identify and mitigate risks throughout the product development process, with a focus on regulatory and operational risk. Build enablement and onboarding plans to empower internal risk and compliance teams to leverage platform tools. Rigorously and dynamically prioritize the product roadmap, ensuring the development team is creating value with each iterative delivery. What you have Required Qualification BA/BS degree 7-10+ years of professional IT or Product development experience 5+ years of direct product experience 3+ years of experience working closely with software engineers Demonstrable understanding of generative AI technology, architecture, and terminology including LLMs, RAG, system prompts, agentic, etc. Experience using/building generative AI solutions, ideally in risk, compliance, or cyber domains. Preferred Qualifications: MBA, JD or Graduate degree in Computer Science or other field related to AI. Professional experience in engineering, data science, risk management, compliance, or related field. Experience building Agentic workflows (e.g., with Copilot Studio, Vertex AI Agent builder etc.). Outstanding verbal and written communication skills with demonstrated ability to communicate effectively with all levels of the organization. Familiarity with financial services and the regulations that apply to the industry. Strong business influence skills. Ability to distill strategy, analytics and varied sets of input to drive decisions across stakeholder communities. Building credibility with peers and key stakeholders (at all levels of the organization) to be able to drive action. Ability to develop multiple solutions to the same problem and identify the common failure modes associated with each. Passion for identifying user pain points, generating ideas to relieve them, and acting swiftly to test potential solutions. Self-starter with outstanding organizational skills, attention to detail, and desire to continually reevaluate existing products and processes. Comfort in a dynamic and fast-moving work environment, with a positive attitude and solid work ethic. Curiosity to continually learn and keep up to date with the latest GenAI capabilities. A strong track record of performance. In addition to the salary range, this role is also eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance
04/13/2026
Full time
Position Type: Regular Your opportunity At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do. Schwab's AI Strategy & Transformation team-known as AI.x-is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. Senior AI Product Managers on AI.x, play an essential role in advancing Schwab's priorities by driving the development and execution of innovative AI product strategies. This position offers the opportunity to help shape Schwab's future with AI, create transformative solutions that serve millions of clients, and grow your career in one of the most dynamic areas of technology today. As a Senior AI Risk Product Manager on AI.x, you will help advance Schwab's risk management and compliance goals by driving the development and execution of innovative AI product & workflow experiences in partnership with our Risk Management, Compliance, and Cyber teams. Your work will focus on identifying and executing on opportunities to leverage GenAI to enhance control testing and risk monitoring across operational, corporate risk oversight, and cyber risk management. Long term, you will help develop agentic tools that reduce manual burden, improve detection, and drive stronger governance outcomes. This is an opportunity to shape the future of AI-driven risk management , create transformative solutions, and grow your career in one of the most dynamic areas of technology today. What You'll do Collaboratively define the GenAI platform vision and roadmap for risk, compliance, and cyber use cases. Partner with R&D and risk stakeholders to identify impactful projects and define evaluation strategies for measuring and monitoring the quality of generative AI output in risk and compliance contexts. Participate in model validation to ensure continued performance, regulatory alignment, and business value of AI tools. Define metrics to estimate hallucination impact, output acceptance, safety concerns, and compliance effectiveness. Communicate key metrics and risk insights to both technical and non-technical stakeholders, highlighting trends, variance, and business impact. Distill MVPs and iterative deliverables from long-term product visions and goals, focusing on risk and compliance transformation. Champion the near-term product vision, ensuring alignment with Schwab's strategic goals and regulatory requirements. Oversee the product lifecycle from concept to launch, including user research with risk and compliance teams, requirements gathering, and go-to-market strategy. Proactively identify and mitigate risks throughout the product development process, with a focus on regulatory and operational risk. Build enablement and onboarding plans to empower internal risk and compliance teams to leverage platform tools. Rigorously and dynamically prioritize the product roadmap, ensuring the development team is creating value with each iterative delivery. What you have Required Qualification BA/BS degree 7-10+ years of professional IT or Product development experience 5+ years of direct product experience 3+ years of experience working closely with software engineers Demonstrable understanding of generative AI technology, architecture, and terminology including LLMs, RAG, system prompts, agentic, etc. Experience using/building generative AI solutions, ideally in risk, compliance, or cyber domains. Preferred Qualifications: MBA, JD or Graduate degree in Computer Science or other field related to AI. Professional experience in engineering, data science, risk management, compliance, or related field. Experience building Agentic workflows (e.g., with Copilot Studio, Vertex AI Agent builder etc.). Outstanding verbal and written communication skills with demonstrated ability to communicate effectively with all levels of the organization. Familiarity with financial services and the regulations that apply to the industry. Strong business influence skills. Ability to distill strategy, analytics and varied sets of input to drive decisions across stakeholder communities. Building credibility with peers and key stakeholders (at all levels of the organization) to be able to drive action. Ability to develop multiple solutions to the same problem and identify the common failure modes associated with each. Passion for identifying user pain points, generating ideas to relieve them, and acting swiftly to test potential solutions. Self-starter with outstanding organizational skills, attention to detail, and desire to continually reevaluate existing products and processes. Comfort in a dynamic and fast-moving work environment, with a positive attitude and solid work ethic. Curiosity to continually learn and keep up to date with the latest GenAI capabilities. A strong track record of performance. In addition to the salary range, this role is also eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance
Position Type: Regular Your opportunity At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do. Schwab's AI Strategy & Transformation team-known as AI.x-is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. Senior AI Product Managers on AI.x, play an essential role in advancing Schwab's priorities by driving the development and execution of innovative AI product strategies. This position offers the opportunity to help shape Schwab's future with AI, create transformative solutions that serve millions of clients, and grow your career in one of the most dynamic areas of technology today. As a Senior AI Risk Product Manager on AI.x, you will help advance Schwab's risk management and compliance goals by driving the development and execution of innovative AI product & workflow experiences in partnership with our Risk Management, Compliance, and Cyber teams. Your work will focus on identifying and executing on opportunities to leverage GenAI to enhance control testing and risk monitoring across operational, corporate risk oversight, and cyber risk management. Long term, you will help develop agentic tools that reduce manual burden, improve detection, and drive stronger governance outcomes. This is an opportunity to shape the future of AI-driven risk management , create transformative solutions, and grow your career in one of the most dynamic areas of technology today. What You'll do Collaboratively define the GenAI platform vision and roadmap for risk, compliance, and cyber use cases. Partner with R&D and risk stakeholders to identify impactful projects and define evaluation strategies for measuring and monitoring the quality of generative AI output in risk and compliance contexts. Participate in model validation to ensure continued performance, regulatory alignment, and business value of AI tools. Define metrics to estimate hallucination impact, output acceptance, safety concerns, and compliance effectiveness. Communicate key metrics and risk insights to both technical and non-technical stakeholders, highlighting trends, variance, and business impact. Distill MVPs and iterative deliverables from long-term product visions and goals, focusing on risk and compliance transformation. Champion the near-term product vision, ensuring alignment with Schwab's strategic goals and regulatory requirements. Oversee the product lifecycle from concept to launch, including user research with risk and compliance teams, requirements gathering, and go-to-market strategy. Proactively identify and mitigate risks throughout the product development process, with a focus on regulatory and operational risk. Build enablement and onboarding plans to empower internal risk and compliance teams to leverage platform tools. Rigorously and dynamically prioritize the product roadmap, ensuring the development team is creating value with each iterative delivery. What you have Required Qualification BA/BS degree 7-10+ years of professional IT or Product development experience 5+ years of direct product experience 3+ years of experience working closely with software engineers Demonstrable understanding of generative AI technology, architecture, and terminology including LLMs, RAG, system prompts, agentic, etc. Experience using/building generative AI solutions, ideally in risk, compliance, or cyber domains. Preferred Qualifications: MBA, JD or Graduate degree in Computer Science or other field related to AI. Professional experience in engineering, data science, risk management, compliance, or related field. Experience building Agentic workflows (e.g., with Copilot Studio, Vertex AI Agent builder etc.). Outstanding verbal and written communication skills with demonstrated ability to communicate effectively with all levels of the organization. Familiarity with financial services and the regulations that apply to the industry. Strong business influence skills. Ability to distill strategy, analytics and varied sets of input to drive decisions across stakeholder communities. Building credibility with peers and key stakeholders (at all levels of the organization) to be able to drive action. Ability to develop multiple solutions to the same problem and identify the common failure modes associated with each. Passion for identifying user pain points, generating ideas to relieve them, and acting swiftly to test potential solutions. Self-starter with outstanding organizational skills, attention to detail, and desire to continually reevaluate existing products and processes. Comfort in a dynamic and fast-moving work environment, with a positive attitude and solid work ethic. Curiosity to continually learn and keep up to date with the latest GenAI capabilities. A strong track record of performance. In addition to the salary range, this role is also eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance
04/13/2026
Full time
Position Type: Regular Your opportunity At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do. Schwab's AI Strategy & Transformation team-known as AI.x-is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. Senior AI Product Managers on AI.x, play an essential role in advancing Schwab's priorities by driving the development and execution of innovative AI product strategies. This position offers the opportunity to help shape Schwab's future with AI, create transformative solutions that serve millions of clients, and grow your career in one of the most dynamic areas of technology today. As a Senior AI Risk Product Manager on AI.x, you will help advance Schwab's risk management and compliance goals by driving the development and execution of innovative AI product & workflow experiences in partnership with our Risk Management, Compliance, and Cyber teams. Your work will focus on identifying and executing on opportunities to leverage GenAI to enhance control testing and risk monitoring across operational, corporate risk oversight, and cyber risk management. Long term, you will help develop agentic tools that reduce manual burden, improve detection, and drive stronger governance outcomes. This is an opportunity to shape the future of AI-driven risk management , create transformative solutions, and grow your career in one of the most dynamic areas of technology today. What You'll do Collaboratively define the GenAI platform vision and roadmap for risk, compliance, and cyber use cases. Partner with R&D and risk stakeholders to identify impactful projects and define evaluation strategies for measuring and monitoring the quality of generative AI output in risk and compliance contexts. Participate in model validation to ensure continued performance, regulatory alignment, and business value of AI tools. Define metrics to estimate hallucination impact, output acceptance, safety concerns, and compliance effectiveness. Communicate key metrics and risk insights to both technical and non-technical stakeholders, highlighting trends, variance, and business impact. Distill MVPs and iterative deliverables from long-term product visions and goals, focusing on risk and compliance transformation. Champion the near-term product vision, ensuring alignment with Schwab's strategic goals and regulatory requirements. Oversee the product lifecycle from concept to launch, including user research with risk and compliance teams, requirements gathering, and go-to-market strategy. Proactively identify and mitigate risks throughout the product development process, with a focus on regulatory and operational risk. Build enablement and onboarding plans to empower internal risk and compliance teams to leverage platform tools. Rigorously and dynamically prioritize the product roadmap, ensuring the development team is creating value with each iterative delivery. What you have Required Qualification BA/BS degree 7-10+ years of professional IT or Product development experience 5+ years of direct product experience 3+ years of experience working closely with software engineers Demonstrable understanding of generative AI technology, architecture, and terminology including LLMs, RAG, system prompts, agentic, etc. Experience using/building generative AI solutions, ideally in risk, compliance, or cyber domains. Preferred Qualifications: MBA, JD or Graduate degree in Computer Science or other field related to AI. Professional experience in engineering, data science, risk management, compliance, or related field. Experience building Agentic workflows (e.g., with Copilot Studio, Vertex AI Agent builder etc.). Outstanding verbal and written communication skills with demonstrated ability to communicate effectively with all levels of the organization. Familiarity with financial services and the regulations that apply to the industry. Strong business influence skills. Ability to distill strategy, analytics and varied sets of input to drive decisions across stakeholder communities. Building credibility with peers and key stakeholders (at all levels of the organization) to be able to drive action. Ability to develop multiple solutions to the same problem and identify the common failure modes associated with each. Passion for identifying user pain points, generating ideas to relieve them, and acting swiftly to test potential solutions. Self-starter with outstanding organizational skills, attention to detail, and desire to continually reevaluate existing products and processes. Comfort in a dynamic and fast-moving work environment, with a positive attitude and solid work ethic. Curiosity to continually learn and keep up to date with the latest GenAI capabilities. A strong track record of performance. In addition to the salary range, this role is also eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance
Senior Lead AI Engineer,(MLX, Agentic AI, Gen AI platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/13/2026
Full time
Senior Lead AI Engineer,(MLX, Agentic AI, Gen AI platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/13/2026
Full time
Senior Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/13/2026
Full time
Senior Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/13/2026
Full time
Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/13/2026
Full time
Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Lead AI Engineer,(MLX, Agentic AI, Gen AI platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
04/13/2026
Full time
Senior Lead AI Engineer,(MLX, Agentic AI, Gen AI platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at 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).
04/13/2026
Full time
Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at 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).