Senior Staff AI Engineer
About the role
About The Company
Capital One is a leading financial services company committed to transforming banking through innovative technology and responsible AI systems. With a longstanding reputation for leveraging machine learning and data-driven insights, Capital One strives to deliver personalized, real-time customer experiences that simplify banking and foster trust. The company's investments in cutting-edge technology infrastructure and a world-class talent pool position it at the forefront of AI-driven financial services. Capital One's mission is to reimagine how financial products and services are delivered, ensuring they are accessible, responsible, and impactful for millions of customers worldwide.
About The Role
The Senior Staff AI Engineer at Capital One is a pivotal role within the Intelligent Foundations and Experiences (IFX) team, responsible for advancing the company's AI capabilities. This role involves designing, developing, deploying, and supporting sophisticated AI systems that enhance customer interactions and operational efficiencies. The ideal candidate will collaborate with cross-functional teams, including research scientists, engineers, and product managers, to build scalable, responsible, and high-performance AI solutions. You will contribute to the technical vision and long-term roadmap of foundational AI systems, employing state-of-the-art models and optimization techniques to deliver impactful products. Your work will directly influence how Capital One leverages AI to serve its customers better, ensuring responsible and scalable deployment of emerging AI technologies.
Qualifications
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in the same fields plus at least 8 years of relevant experience.
Minimum of 10 years of programming experience with Python, Go, Scala, or Java.
Experience deploying scalable AI solutions on cloud platforms such as AWS, Google Cloud, or Azure.
Proven ability to architect, design, develop, and support complex enterprise AI systems.
Strong leadership skills with experience mentoring engineering teams and influencing stakeholders up to senior management levels.
Hands-on experience with AI and ML algorithms, including LLM inference, similarity search, VectorDBs, guardrails, and optimization techniques.
Excellent communication skills with the ability to articulate complex technical concepts clearly.
Deep understanding of hardware and software optimization for AI training and inference.
Responsibilities
Partner with cross-functional teams to deliver AI-powered products that transform customer engagement and operational workflows.
Design, develop, test, and deploy AI software components, including foundation model training, large language model inference, and observability tools.
Leverage open-source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, Nemo Guardrails, PyTorch, and others to build scalable solutions.
Implement innovative LLM optimization techniques to enhance performance metrics such as scalability, latency, throughput, and cost-efficiency.
Contribute to the technical vision and strategic roadmap for foundational AI systems at Capital One.
Ensure responsible AI practices by integrating governance, guardrails, and compliance measures into AI systems.
Stay current with the latest research and advancements in AI and machine learning, applying new techniques judiciously in production environments.
Benefits
Competitive salary aligned with experience and location.
Performance-based incentive compensation, including cash bonuses and long-term incentives.
Comprehensive health, dental, and vision insurance plans.
Retirement savings options with employer contributions.
Generous paid time off and holiday leave policies.
Opportunities for professional development and continuous learning.
Inclusive and diverse workplace culture supporting work-life balance.
Support for remote work and flexible scheduling where applicable.
Equal Opportunity
Capital One is an equal opportunity employer committed to diversity and inclusion. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic. We promote a drug-free workplace and consider qualified applicants with criminal histories in accordance with applicable laws. We encourage all qualified individuals to apply and join our innovative team dedicated to responsible AI and transformative banking solutions.
Responsibilities
- Partner with cross-functional teams to deliver AI-powered products that transform customer engagement and operational workflows
- Design, develop, test, and deploy AI software components, including foundation model training, large language model inference, and observability tools
- Leverage open-source and SaaS AI technologies to build scalable solutions
- Implement innovative LLM optimization techniques to enhance performance metrics
- Contribute to the technical vision and strategic roadmap for foundational AI systems
- Ensure responsible AI practices by integrating governance, guardrails, and compliance measures into AI systems
- Stay current with the latest research and advancements in AI and machine learning
Qualifications
- Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in the same fields plus at least 8 years of relevant experience
- Minimum of 10 years of programming experience with Python, Go, Scala, or Java
- Experience deploying scalable AI solutions on cloud platforms such as AWS, Google Cloud, or Azure
- Proven ability to architect, design, develop, and support complex enterprise AI systems
- Strong leadership skills with experience mentoring engineering teams and influencing stakeholders
- Hands-on experience with AI and ML algorithms, including LLM inference, similarity search, VectorDBs, guardrails, and optimization techniques
- Excellent communication skills with the ability to articulate complex technical concepts clearly
- Deep understanding of hardware and software optimization for AI training and inference
Benefits
- Competitive salary aligned with experience and location
- Performance-based incentive compensation, including cash bonuses and long-term incentives
- Comprehensive health, dental, and vision insurance plans
- Retirement savings options with employer contributions
- Generous paid time off and holiday leave policies
- Opportunities for professional development and continuous learning
- Inclusive and diverse workplace culture supporting work-life balance
- Support for remote work and flexible scheduling where applicable
Skills mentioned
About Capital One
Sundayy makes job discovery feel less chaotic and more intentional. Instead of jumping between platforms, repeating the same steps, and getting lost in the process, everything is brought into one place so you can focus on what actually matters. No clutter, no confusion, just a clearer way to move forward.
H-1B sponsorship history
Historical employer filing data was found for Capital One. The employer record includes 2 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.