AI Engineer 5: Foundation Models & Agentic AI Platform

Capital One National Association; McLean (VA); On-site; USD 230,000 - 262,000; Full time

Job summary

Capital One is building responsible and reliable AI systems to transform banking. As part of the Intelligent Foundations and Experiences (IFX) team, you will develop AI software components, including training, inference, agents, and multi-model workflows, using Open Source and SaaS tools.

You’ll help optimize performance, governance, and observability across large-scale AI systems. The role focuses on collaboration with cross-functional teams to deliver scalable AI capabilities, contribute to

Qualifications

• BS/MS with required years of AI/ML experience
• 6+ years Python/Go/Scala/CUDA/Java
• Experience with AI/ML algorithms and production systems

Responsibilities

• Collaborate with engineers and PMs to deliver AI-powered products
• Design, test, deploy, and support AI software components
• Leverage Open Source and SaaS AI tools like AWS Ultraclusters and PyTorch
• Develop optimization techniques for foundation models and multi-model pipelines
• Contribute to the long-term AI system roadmap and governance
• Mentor engineers and promote technical maturity

Skills

Python

Go

Scala

CUDA

Java

AI systems design

Cloud platforms

Education

Bachelor's degree in CS/AI/EE/CE

Master's degree in CS/AI/EE/CE

Tools

AWS Ultraclusters

Huggingface

VectorDBs

PyTorch

Job description

Capital One is building responsible and reliable AI systems to transform banking. As part of the Intelligent Foundations and Experiences (IFX) team, you will develop AI software components, including training, inference, agents, and multi-model workflows, using Open Source and SaaS tools.

You’ll help optimize performance, governance, and observability across large-scale AI systems. The role focuses on collaboration with cross-functional teams to deliver scalable AI capabilities, contribute to