Senior Manager AI Engineer (genai Platform Services)

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

Senior Manager AI Engineer role focused on building and deploying GenAI Platform Services. Responsibilities include overseeing AI software components like foundation model training, LLM inference, similarity search, guardrails, and model evaluation. The role involves making build-vs-buy decisions, optimizing LLM performance, and contributing to the technical vision of foundational AI systems. Requires people leadership and experience in deploying scalable AI solutions on cloud platforms.

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

  • responsible and reliable AI systems
  • responsible and scalable ways
  • responsible AI solutions

Other signals

  • AI-powered products
  • foundation model training
  • large language model inference
  • similarity search
  • guardrails
  • model evaluation
  • experimentation
  • governance
  • observability
  • LLM optimization techniques
  • foundational AI systems