AI Engineer: Foundation Models & Scalable AI

Capital One; McLean (VA); On-site; USD 197,000 - 225,000; Full time

Job summary

Capital One in McLean, VA seeks an AI Engineer to design and deploy AI-powered products that transform how associates work and how customers interact with Capital One. You will build foundation model training, inference, agents, and governance using Open Source and SaaS tools like AWS Ultraclusters, Huggingface, VectorDBs, and PyTorch.

We expect deep technical skills, experience leading scalable AI systems, and the ability to balance latency, cost, and performance while upholding security and

Qualifications

• Bachelor's degree with 4+ years in AI/ML or Master's with 2+ years in AI/ML
• 4+ years of experience programming with Python, Go, Scala, CUDA, or Java

Responsibilities

• Deliver AI-powered products with cross-functional teams
• Design, develop, test, and deploy AI software components including foundation model training and inference
• Optimize performance, latency, and observability of AI systems

Skills

Python

Go

Scala

CUDA

Java

Education

Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields

Master's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields

Tools

AWS Ultraclusters

Huggingface

VectorDBs

PyTorch

Job description

Capital One in McLean, VA seeks an AI Engineer to design and deploy AI-powered products that transform how associates work and how customers interact with Capital One. You will build foundation model training, inference, agents, and governance using Open Source and SaaS tools like AWS Ultraclusters, Huggingface, VectorDBs, and PyTorch.

We expect deep technical skills, experience leading scalable AI systems, and the ability to balance latency, cost, and performance while upholding security and