AI Platform Lead, Responsible & Scalable GenAI

Capital One Group

McLean (VA)

Hybrid

USD 230,000 - 262,000

Full time

7 days ago
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Job summary

Capital One is seeking a Sr. Manager, AI Engineer to lead AI platform services and responsible AI initiatives.

You will partner with engineers, researchers, PMs, and product managers to deliver AI-powered products across the enterprise, including foundation model work, inference, guardrails, and observability. You will guide a team through design, deployment, and governance of AI systems, optimize performance and cost, and drive a roadmap that aligns with business goals across multiple locations

Qualifications

  • Bachelor’s or Master’s degree in CS/AI/Engineering with relevant AI/ML experience.
  • “At least 1 year of people leadership experience” is required.
  • Experience deploying scalable and responsible AI solutions on cloud platforms.
  • Strong foundations in engineering and mathematics with AI hardware/software optimization skills.

Responsibilities

  • Partner with cross-functional teams to deliver AI-powered products.
  • Oversee design, development, testing, deployment of AI software components.
  • Make build-vs-buy decisions across Open Source and SaaS AI technologies.
  • Invent optimization techniques to improve performance, cost, latency, throughput.
  • Contribute to the technical vision and long-term roadmap.

Skills

Leadership experience
AI/ML algorithms
Cloud deployment
LLM inference
Python/C++/Java
Agentic AI

Education

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

Tools

AWS Ultraclusters
Huggingface
VectorDBs
PyTorch
CUDA
GCP / Azure

Job description

Capital One is seeking a Sr. Manager, AI Engineer to lead AI platform services and responsible AI initiatives.

You will partner with engineers, researchers, PMs, and product managers to deliver AI-powered products across the enterprise, including foundation model work, inference, guardrails, and observability. You will guide a team through design, deployment, and governance of AI systems, optimize performance and cost, and drive a roadmap that aligns with business goals across multiple locations

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