Senior Manager, AI Engineer

What you'll do

• Oversee the design, development, testing, deployment, and support of AI software components including LLM inference and foundation model training.
• Make build-vs-buy decisions for open source and SaaS AI technologies like AWS Ultraclusters, Huggingface, and VectorDBs.
• Implement foundation model optimization techniques to improve performance, scalability, cost, latency, and throughput of production systems.
• Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular progress readouts.
• Operationalize Responsible AI by establishing review gates, documentation requirements, and rollout/rollback standards for production systems.
• Manage and mentor a team of engineers and scientists to productize prototypes and meet production SLOs.
• Create collaboration interfaces with Research, Data, and Platform teams to accelerate the model lifecycle.
• Contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One.

What we're looking for

• Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 6 years of AI/ML experience.
• Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 4 years of AI/ML experience.
• At least 1 year of people leadership experience.
• 3+ years of experience managing and leading an engineering team (preferred).
• 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (preferred).
• Experience developing AI/ML algorithms using Python, C++, C#, Java, CUDA, or Golang (preferred).
• Experience in building agentic AI systems and agentic workflows (preferred).
• Experience leading technical strategy for a multi-disciplinary AI team (preferred).