Lead Gen AI Platform Eng – LLM Systems & Infra

Capital One

McLean (VA)

On-site

USD 197,000 - 225,000

Full time

2 days ago
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Job summary

Capital One is seeking a Lead AI Engineer for Gen AI Platform Services to build and scale responsible AI systems across the company. You will collaborate with engineers, researchers, PMs, and data scientists to deliver AI-powered products and services that touch millions of customers.

You will design, train, deploy, and monitor foundation models, inference pipelines, and guardrails, using PyTorch, Huggingface, VectorDBs, and compatible cloud tools.

Qualifications

  • Bachelor’s degree with 4+ years AI/ML experience or Master’s with 2+ years.
  • 4+ years in Python/Go/Scala/Java programming.
  • Experience deploying scalable AI on cloud platforms (AWS, GCP, Azure).
  • Experience with LLM inference, vector stores, guardrails and model evaluation.
  • Strong engineering and math foundation; production-ready mindset.

Responsibilities

  • Partner with cross‑functional teams to deliver AI-powered products.
  • Design, develop, test, deploy, and support AI software components.
  • Leverage Open Source and SaaS AI tech stacks (LLMs, PyTorch, VectorDBs).
  • Invent state‑of‑the‑art optimization techniques for scale, cost, latency.
  • Contribute to the technical vision and long‑term AI system roadmap.

Skills

Problem solving
Communication
Adaptability
Technical leadership
Cross-functional collaboration

Education

Bachelor’s degree in CS/AI/EE/CE
Master’s degree in CS/AI/EE/CE

Tools

AWS
Google Cloud
Azure
Huggingface
PyTorch
VectorDBs
Nemo Guardrails

Job description

Capital One is seeking a Lead AI Engineer for Gen AI Platform Services to build and scale responsible AI systems across the company. You will collaborate with engineers, researchers, PMs, and data scientists to deliver AI-powered products and services that touch millions of customers.

You will design, train, deploy, and monitor foundation models, inference pipelines, and guardrails, using PyTorch, Huggingface, VectorDBs, and compatible cloud tools.

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