Senior Staff AI Platform Engineer - Agentic AI (Remote)

COMFORT SYSTEMS

Washington (District of Columbia)

Remote

USD 286,000 - 327,000

Full time

3 days ago
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Job summary

Capital One is seeking a Senior Staff AI Engineer for the Agentic AI Platform, offering remote eligibility. You will collaborate with engineers, researchers, PMs and product teams to deliver AI-powered products and services at scale across the enterprise.

You will architect, optimize and deploy foundation models, integration with production systems, and governance, ensuring safety and high performance for millions of customers.

Qualifications

  • Bachelor's or Master's in a relevant field with 8–10+ years of AI/ML experience.
  • 10+ years of experience programming with Python, Go, Scala, CUDA or Java.

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 technologies.
  • Invent foundation model optimization techniques to improve performance and cost.
  • Contribute to the technical vision and long-term roadmap for AI systems.
  • Define and steer AI architecture vision with reliability and scale.
  • Lead establishment of AI safety, transparency standards across the company.
  • Drive multi-year platform initiatives unifying data, compute and model lifecycle management.
  • Mentor senior technical leaders across research, data and engineering.

Skills

Foundation model training
LLM inference
Agents & multi-agent workflows
Vector databases
Model evaluation & governance

Education

Bachelor’s Degree in CS/AI/EE/CE or related
Master’s Degree in CS/AI/EE/CE or related

Tools

AWS Ultraclusters
HuggingFace
VectorDBs
PyTorch

Job description

Capital One is seeking a Senior Staff AI Engineer for the Agentic AI Platform, offering remote eligibility. You will collaborate with engineers, researchers, PMs and product teams to deliver AI-powered products and services at scale across the enterprise.

You will architect, optimize and deploy foundation models, integration with production systems, and governance, ensuring safety and high performance for millions of customers.

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