Senior Manager, AI Engineering - Gen AI Platform

We are Capital One, building responsible and reliable AI systems to help change banking for good. Our Intelligent Foundations and Experiences (IFX) team sits at the center of our AI vision, partnering across the company to advance the state of the art in science and AI engineering and to build proprietary solutions that serve millions of customers. This senior manager role is a people leadership position focused on Gen AI platform services, and it offers the opportunity to shape high-impact AI infrastructure while working with world-class talent. The role is based in locations including Cambridge, McLean, New York, San Francisco, and San Jose, and we provide a comprehensive, competitive, and inclusive benefits package along with eligibility for performance-based incentives and salary ranges that vary by location.

- We require a bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related discipline, plus at least 6 years of experience developing AI and ML algorithms or technologies, or a masters degree in one of those fields plus at least 4 years of equivalent experience
- We require at least 1 year of people leadership experience
- We prefer 3 years of experience leading and managing an engineering team
- We prefer 6 years of experience delivering scalable, responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud environments
- We prefer experience building AI and ML capabilities such as LLM inference, similarity search, vector databases, guardrails, and memory using Python, C++, C#, Java, or Golang
- We prefer strong awareness of the latest AI research and systems, with the judgment to apply novel techniques in production
- We prefer excellent communication and presentation skills, including the ability to explain complex AI concepts to peers

- We partner with cross-functional engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that improve how our associates work and how our customers engage with Capital One
- We oversee the design, development, testing, deployment, and support of AI software components, including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability
- We make informed build-versus-buy decisions across a broad range of open-source and SaaS AI technologies, including AWS Ultraclusters, Hugging Face, vector databases, Nemo Guardrails, PyTorch, and similar tools
- We invent and apply advanced LLM optimization methods to improve scalability, cost, latency, and throughput in large-scale production AI systems
- We help shape the technical vision and long-term roadmap for foundational AI systems at Capital One
- We attract and retain top AI talent while supporting the personal and professional growth of our team
- We foster a culture of continuous learning and staying current with the latest advances in AI