Senior AI Foundations Engineer: World Models & RL

Capital One; New York (NY); Hybrid; USD 215,000 - 246,000; Full time

Job summary

Capital One is seeking an AI Engineer 4 to join the Intelligent Foundations and Experiences team in a hybrid New York, NY location. You will design, build, and deploy AI systems including foundation models, LLM inference, and multi-agent workflows, leveraging Open Source and SaaS AI tech.

Strong emphasis on scalability, governance, and observable systems. The role requires a strong technical background in AI/ML and collaboration across engineering, research, and product teams.

Qualifications

• Bachelor's or Master's degree in a related field with years of experience as specified.
• Experience programming in Python, Go, Scala, CUDA, or Java.
• Strong foundation in engineering and mathematics.

Responsibilities

• Partner with cross-functional team to deliver AI-powered products.
• Design, develop, test, deploy, and support AI software components.
• Leverage Open Source and SaaS AI technologies in production.
• Optimize foundation model performance, cost, latency, and throughput.
• Contribute to long-term roadmap of foundational AI systems.
• Own end-to-end architecture for complex AI systems with observability.
• Define and maintain SLOs for AI reliability, including latency and uptime.
• Collaborate with infrastructure to optimize GPU/TPU utilization.
• Lead technical reviews for new deployments with security and governance.

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 is seeking an AI Engineer 4 to join the Intelligent Foundations and Experiences team in a hybrid New York, NY location. You will design, build, and deploy AI systems including foundation models, LLM inference, and multi-agent workflows, leveraging Open Source and SaaS AI tech.

Strong emphasis on scalability, governance, and observable systems. The role requires a strong technical background in AI/ML and collaboration across engineering, research, and product teams.