Senior AI Systems Engineer — Remote

Capital One Financial Corporation; McLean (VA); Remote; USD 269,100 - 307,200; Full time

Benefits offered by this job

Performance-based incentives

Health benefits

Job summary

Capital One Financial Corporation in the United States is seeking a Distinguished AI Engineer (Remote) to build responsible, scalable AI systems for banking applications. You will partner with cross‑functional teams to design and deploy AI software, including foundation model training, LLM inference, and guardrails, leveraging open source and SaaS tools.

The role emphasizes state‑of‑the‑art optimization, strong software engineering, and the ability to mentor teams.

Qualifications

• Bachelor's degree or Master's degree in a related field with 6–8+ years of AI/ML experience.
• 8+ years of experience programming with Python, Go, Scala, or Java.

Responsibilities

• Partner with cross‑functional teams to deliver AI-powered products.
• Design, develop, test, deploy, and support AI software components (training, inference, guardrails).
• Leverage Open Source and SaaS AI technologies to enable scalable production systems.
• Invent and apply state‑of‑the‑art optimization techniques for performance and cost.
• Contribute to the technical vision and long-term roadmap of foundational AI systems.

Skills

Python

Go

Scala

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

Nemo Guardrails

PyTorch

Job description

Capital One Financial Corporation in the United States is seeking a Distinguished AI Engineer (Remote) to build responsible, scalable AI systems for banking applications. You will partner with cross‑functional teams to design and deploy AI software, including foundation model training, LLM inference, and guardrails, leveraging open source and SaaS tools.

The role emphasizes state‑of‑the‑art optimization, strong software engineering, and the ability to mentor teams.