Senior AI Platform Lead, Gen AI & Guardrails

Capital One Group

San Jose (CA)

On-site

USD 251,000 - 286,000

Full time

14 days+

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Job summary

Capital One is seeking a Sr. Manager, AI Engineer for Gen AI Platform Services: Agentic AI, Guardrails, Evaluation. You will lead an interdisciplinary team and drive design, development, testing, deployment, and support of AI software components including foundation model training, LLM inference, and evaluation.

You will establish governance and observability to ensure responsible, scalable AI systems. You will collaborate with Research, Data, and Platform teams to translate enterprise AI goals

Qualifications

  • Bachelor's in CS/AI/Engineering with 6+ years AI/ML experience, or Master's with 4+ years.
  • At least 1 year of people leadership experience.
  • Experience managing and leading an engineering team (3+ years).
  • 6 years deploying scalable and responsible AI solutions on cloud platforms.

Responsibilities

  • Partner with cross-functional teams to deliver AI-powered products.
  • Oversee design, development, testing, deployment, and support of AI components.
  • Make build-vs-buy decisions across Open Source and SaaS AI tech.
  • Invent foundation model optimization techniques for performance and cost.
  • Operationalize Responsible AI with governance and gates.

Skills

AI engineering
Leadership
Foundation models
MLOps
Python
PyTorch
Guardrails
Model evaluation
Cloud platforms

Education

Bachelor's degree in CS/AI/Engineering
Master's degree in CS/AI/Engineering

Tools

AWS Ultraclusters
Huggingface
VectorDBs
PyTorch
Guardrails

Job description

Capital One is seeking a Sr. Manager, AI Engineer for Gen AI Platform Services: Agentic AI, Guardrails, Evaluation. You will lead an interdisciplinary team and drive design, development, testing, deployment, and support of AI software components including foundation model training, LLM inference, and evaluation.

You will establish governance and observability to ensure responsible, scalable AI systems. You will collaborate with Research, Data, and Platform teams to translate enterprise AI goals

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