Senior Gen AI Platform Engineer: LLM & Orchestration

Capital One

McLean (VA)

On-site

USD 140,000 - 200,000

Full time

7 days ago
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Job summary

Capital One is seeking an AI Engineer 5 to join the Gen AI Platform Services. You will design and deploy AI systems, work with foundation models, and help scale production-grade AI across banking products.

You will collaborate with engineers, researchers, and product managers to drive end-to-end AI capabilities, optimize performance, latency, and cost, and mentor senior engineers while shaping Capital One's AI roadmap.

Qualifications

  • Bachelor’s or Master’s degree with required years in AI/ML.
  • Strong programming skills in Python, Go, Scala, CUDA, or Java.
  • Experience leading AI systems and cost/performance tradeoffs.
  • Experience deploying scalable AI on cloud platforms.

Responsibilities

  • Partner with cross-functional teams to deliver AI-powered products.
  • Design, develop, test, deploy, and support AI software components.
  • Invent foundation model optimization techniques for performance and cost.
  • Contribute to the technical vision and long-term roadmap.
  • Lead multi-model orchestration pipelines integrating LLMs and vector search.
  • Establish cost-performance governance reviews and monitor GPU usage.
  • Mentor engineers to raise technical maturity.

Skills

Python
Go
Scala
CUDA
Java
Machine Learning

Education

Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields + 6+ years experience
Master’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields + 4+ years experience

Tools

AWS Ultraclusters
HuggingFace
VectorDBs
PyTorch

Job description

Capital One is seeking an AI Engineer 5 to join the Gen AI Platform Services. You will design and deploy AI systems, work with foundation models, and help scale production-grade AI across banking products.

You will collaborate with engineers, researchers, and product managers to drive end-to-end AI capabilities, optimize performance, latency, and cost, and mentor senior engineers while shaping Capital One's AI roadmap.

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