Senior Manager, AI Engineering (people Leader) (gen AI Platform Services)

Capital One Capital One · Banking · San Jose, CA +1

Senior Manager, AI Engineering (People Leader) for Gen AI Platform Services at Capital One. This role involves overseeing the design, development, testing, deployment, and support of AI software components, including foundation model training, LLM inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. The candidate will make build-vs-buy decisions, optimize LLM performance (scalability, cost, latency, throughput), contribute to the technical vision and roadmap of foundational AI systems, and lead/mentor an AI engineering team. Experience with cloud platforms and deploying scalable AI solutions is required.

What you'd actually do

  1. 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.
  2. Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
  3. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
  4. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.
  5. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.

Skills

Required

  • 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 1 year of people leadership experience
  • Python
  • C++
  • C#
  • Java
  • Golang

Nice to have

  • 3 years of experience managing and leading an engineering team
  • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
  • LLM Inference
  • Similarity Search and VectorDBs
  • Guardrails
  • Memory
  • 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

What the JD emphasized

  • people leadership experience
  • managing and leading an engineering team
  • deploying scalable and responsible AI solutions on cloud platforms

Other signals

  • leading AI engineering teams
  • building and deploying proprietary AI solutions
  • delivering AI-powered products
  • foundation model training
  • large language model inference
  • similarity search
  • guardrails
  • model evaluation
  • experimentation
  • governance
  • observability
  • build-vs-buy decisions
  • LLM optimization techniques
  • scalability
  • cost
  • latency
  • throughput
  • foundational AI systems
  • attract and retain top talent
  • mentoring and coaching
  • deploying scalable and responsible AI solutions on cloud platforms