Senior AI Engineer: Foundation Models & Scalable AI

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

Benefits offered by this job

Competitive benefits

Job summary

Capital One is seeking an AI Engineer 5 to partner with cross‑functional teams to deliver AI-powered products. You will design, develop, test, deploy, and support AI software components including foundation model training, LLM inference, agents, and vector search.

You will optimize performance, scalability, and cost while aligning with governance and ethical standards. The role involves mentoring engineers, shaping technical roadmaps, and ensuring compliant, high‑quality AI systems across

Qualifications

• Bachelor's degree in CS/AI/EE or related field with 6+ years of AI/ML experience, or Master’s with 4+ years.
• 6+ years of programming experience in Python, Go, Scala, CUDA, or Java.
• Experience leading AI system development and cloud deployments.

Responsibilities

• Deliver AI-powered products with cross-functional teams.
• Design, develop, test, deploy, and support AI software components.
• Lead cost-performance governance reviews across AI systems.
• Mentor engineers and elevate technical maturity within the team.
• Contribute to the long-term roadmap of foundational AI systems.

Skills

Python

Go

Scala

CUDA

Java

AI systems design

Cloud deployment

Model optimization

Education

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

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

Tools

AWS Ultraclusters

HuggingFace

VectorDBs

PyTorch

Job description

Capital One is seeking an AI Engineer 5 to partner with cross‑functional teams to deliver AI-powered products. You will design, develop, test, deploy, and support AI software components including foundation model training, LLM inference, agents, and vector search.

You will optimize performance, scalability, and cost while aligning with governance and ethical standards. The role involves mentoring engineers, shaping technical roadmaps, and ensuring compliant, high‑quality AI systems across