Staff AI Engineer - Remote, Scalable AI Systems

Capital One; Olympia (WA); Remote; USD 245,000 - 279,000; Full time

Job summary

Capital One is seeking a Staff AI Engineer to help build responsible, scalable AI systems in a remote-eligible role. You will work with the IFX team to deploy AI/ML capabilities that transform customer experiences and banking operations.

You will design and optimize large-scale AI pipelines, mentor engineers, and ensure governance, observability, and fairness in production systems across multiple cloud platforms.

Qualifications

• Bachelor's degree in CS/AI/EE/CE or related field with at least 8 years in AI/ML.
• At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java.

Responsibilities

• Partner with cross-functional teams to deliver AI-powered products that impact associates and customers.
• Design, develop, test, deploy, and support AI software components including foundation model training, LLM inference, agents, and workflows.
• Leverage Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.
• Invent and introduce state-of-the-art foundation model optimization techniques to improve scalability, cost, latency, throughput.
• Contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One.
• Set the technical direction for enterprise-wide AI architecture and deployment standards.

Skills

Python

Go

Scala

CUDA

Java

AI/ML algorithms

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 seeking a Staff AI Engineer to help build responsible, scalable AI systems in a remote-eligible role. You will work with the IFX team to deploy AI/ML capabilities that transform customer experiences and banking operations.

You will design and optimize large-scale AI pipelines, mentor engineers, and ensure governance, observability, and fairness in production systems across multiple cloud platforms.