Director, AI Engineering
Capital One
Director, AI Engineering
Job Description
Overview
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:
Be responsible for defining the strategic vision, overseeing the development, and managing the growth of an organization's autonomous AI systems and platforms. This position requires a combination of strategic thinking, technical expertise in AI/ML, and strong leadership to align the platform with business goals, build and manage teams, and drive innovation.
Provide technical leadership for the design, development, testing and deployment of agentic workflows across Capital One
Develop and execute the strategic vision and roadmap for the agentic AI platform, ensuring it aligns with organizational priorities.
Oversee the end-to-end lifecycle of the platform, from development and integration of AI solutions to sunsetting legacy offerings.
Guide technical teams, set best practices for AI orchestration, MLOps, and application development, and ensure platform scalability and reliability.
Work with senior leaders, product management, sales, and other engineering teams to align the platform's capabilities with business goals.
Act as a champion for the platform, articulating its strategic value to senior stakeholders and influencing enterprise decision-making.
Foster a culture of innovation and drive the adoption of AI-powered tools across the organization.
Ensure the platform is developed and deployed in compliance with industry regulations and ethical AI best practice
Set a strategic roadmap, collaborating with cross-functional teams, and ensuring the platform's compliance with ethical and regulatory standards.
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.
Advise on the selection of technologies, programming languages, AI/ML models, orchestration engines, and deployment platforms.
Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies.
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.
Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI.
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 get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example.
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.
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master'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
At least 3 years of people leadership experience
5 years of experience managing and leading an engineering team
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
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
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
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.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.comCapital 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).
Locations
- San Jose, California, United States
- San Francisco, California San Jose, CaliforniaSan Jose
Salary
80,000 - 135,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- AI/ML technical expertiseintermediate
- strategic vision and roadmap developmentintermediate
- people leadershipintermediate
- technical leadershipintermediate
- cloud platforms (AWS, Google Cloud, Azure)intermediate
- programming (Python, C++, C#, Java, Golang)intermediate
- MLOpsintermediate
- cross-functional collaborationintermediate
Required Qualifications
- Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies (experience)
- Master'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 (experience)
- At least 3 years of people leadership experience (experience)
- 5 years of experience managing and leading an engineering team (preferred) (experience)
- 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (preferred) (experience)
Responsibilities
- Define the strategic vision, oversee the development, and manage the growth of autonomous AI systems and platforms
- Provide technical leadership for the design, development, testing and deployment of agentic workflows across Capital One
- Develop and execute the strategic vision and roadmap for the agentic AI platform
- Oversee the end-to-end lifecycle of the platform, from development and integration of AI solutions to sunsetting legacy offerings
- Guide technical teams, set best practices for AI orchestration, MLOps, and application development
- Work with senior leaders, product management, sales, and other engineering teams to align the platform's capabilities with business goals
- Ensure the platform is developed and deployed in compliance with industry regulations and ethical AI best practice
Benefits
- general: comprehensive, competitive, and inclusive set of health, financial and other benefits
Answer 10 quick questions to check your fit for Director, AI Engineering @ Capital One.
Related Books and Jobs
Director, AI Engineering
Capital One
Director, AI Engineering
Job Description
Overview
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:
Be responsible for defining the strategic vision, overseeing the development, and managing the growth of an organization's autonomous AI systems and platforms. This position requires a combination of strategic thinking, technical expertise in AI/ML, and strong leadership to align the platform with business goals, build and manage teams, and drive innovation.
Provide technical leadership for the design, development, testing and deployment of agentic workflows across Capital One
Develop and execute the strategic vision and roadmap for the agentic AI platform, ensuring it aligns with organizational priorities.
Oversee the end-to-end lifecycle of the platform, from development and integration of AI solutions to sunsetting legacy offerings.
Guide technical teams, set best practices for AI orchestration, MLOps, and application development, and ensure platform scalability and reliability.
Work with senior leaders, product management, sales, and other engineering teams to align the platform's capabilities with business goals.
Act as a champion for the platform, articulating its strategic value to senior stakeholders and influencing enterprise decision-making.
Foster a culture of innovation and drive the adoption of AI-powered tools across the organization.
Ensure the platform is developed and deployed in compliance with industry regulations and ethical AI best practice
Set a strategic roadmap, collaborating with cross-functional teams, and ensuring the platform's compliance with ethical and regulatory standards.
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.
Advise on the selection of technologies, programming languages, AI/ML models, orchestration engines, and deployment platforms.
Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies.
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.
Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI.
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 get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example.
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.
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master'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
At least 3 years of people leadership experience
5 years of experience managing and leading an engineering team
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
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
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
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.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.comCapital 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).
Locations
- San Jose, California, United States
- San Francisco, California San Jose, CaliforniaSan Jose
Salary
80,000 - 135,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- AI/ML technical expertiseintermediate
- strategic vision and roadmap developmentintermediate
- people leadershipintermediate
- technical leadershipintermediate
- cloud platforms (AWS, Google Cloud, Azure)intermediate
- programming (Python, C++, C#, Java, Golang)intermediate
- MLOpsintermediate
- cross-functional collaborationintermediate
Required Qualifications
- Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies (experience)
- Master'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 (experience)
- At least 3 years of people leadership experience (experience)
- 5 years of experience managing and leading an engineering team (preferred) (experience)
- 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (preferred) (experience)
Responsibilities
- Define the strategic vision, oversee the development, and manage the growth of autonomous AI systems and platforms
- Provide technical leadership for the design, development, testing and deployment of agentic workflows across Capital One
- Develop and execute the strategic vision and roadmap for the agentic AI platform
- Oversee the end-to-end lifecycle of the platform, from development and integration of AI solutions to sunsetting legacy offerings
- Guide technical teams, set best practices for AI orchestration, MLOps, and application development
- Work with senior leaders, product management, sales, and other engineering teams to align the platform's capabilities with business goals
- Ensure the platform is developed and deployed in compliance with industry regulations and ethical AI best practice
Benefits
- general: comprehensive, competitive, and inclusive set of health, financial and other benefits
Answer 10 quick questions to check your fit for Director, AI Engineering @ Capital One.
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