Senior AI Platform Architect

Capital One; McLean (VA); On-site; USD 180,000 - 240,000; Full time

Job summary

Capital One is seeking a Sr. Staff AI Engineer to help build responsible, scalable AI systems. You will work with the IFX team to design and deploy AI-powered products, optimizing model performance, latency, and cost while ensuring safety and governance across the enterprise.

Lead multi-year platform initiatives, mentor engineering teams, and translate research breakthroughs into production-ready AI infrastructure at Capital One.

Qualifications

• Bachelor's or Master's in CS/AI/EE or related field with extensive AI/ML development experience
• 10+ years of AI/ML development experience (as described)
• Proficiency in Python and at least one of Go/Scala/CUDA/Java

Responsibilities

• Partner with cross-functional teams to deliver AI-powered products
• Design, develop, test, deploy, and support AI software components including foundation model training and inference
• Leverage Open Source and SaaS AI technologies (AWS Ultraclusters, Huggingface, VectorDBs, PyTorch)
• Invent optimization techniques for foundation models to improve performance and costs
• Contribute to the long-term AI architecture roadmap at Capital One
• Define AI architecture vision and production-ready workflows
• Establish AI performance, safety, and transparency standards
• Drive multi-year platform initiatives unifying data, compute and model lifecycles
• Mentor senior technical leaders across research, data and engineering

Skills

Python

Go

Scala

CUDA

Java

Education

Bachelor's degree in CS/AI/EE or related

Master's degree in CS/AI/EE or related

Tools

AWS Ultraclusters

Huggingface

VectorDBs

PyTorch

Job description

Capital One is seeking a Sr. Staff AI Engineer to help build responsible, scalable AI systems. You will work with the IFX team to design and deploy AI-powered products, optimizing model performance, latency, and cost while ensuring safety and governance across the enterprise.

Lead multi-year platform initiatives, mentor engineering teams, and translate research breakthroughs into production-ready AI infrastructure at Capital One.