Senior AI Engineer: Foundations & Production

Capital One National Association; New York (NY); On-site; USD 251,000 - 286,000; Full time

Job summary

Capital One seeks an AI Engineer 5 in New York, NY to help build scalable AI systems and deliver production-ready AI-powered products. You will work with engineers, researchers, PMs, and product managers to deploy multi-model AI pipelines and guardrails that enhance customer experiences.

The role emphasizes foundation model optimization, governance, and collaboration across teams, with guidance to elevate technical maturity within the AI organization.

Qualifications

• Bachelor's degree or Master's with years of AI/ML experience as specified.
• Experience with Python, Go, Scala, CUDA, or Java for AI/ML projects.

Responsibilities

• Partner with cross-functional teams to deliver AI-powered products.
• Design, develop, test, deploy, and support AI software components including model training and inference.
• Leverage Open Source and SaaS AI technologies (AWS Ultraclusters, Huggingface, VectorDBs, PyTorch).
• Invent and optimize foundation model techniques for performance, latency, and cost.
• Contribute to the technical vision and long-term AI roadmap at Capital One.
• Design and optimize multi-model orchestration pipelines integrating LLMs and domain models.
• Lead governance reviews on GPU utilization, throughput, and cost efficiency.
• Lead design reviews to ensure alignment with AI engineering standards.
• Mentor Principal and Manager-level AI engineers to raise technical maturity.

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

Huggingface

VectorDBs

Job description

Capital One seeks an AI Engineer 5 in New York, NY to help build scalable AI systems and deliver production-ready AI-powered products. You will work with engineers, researchers, PMs, and product managers to deploy multi-model AI pipelines and guardrails that enhance customer experiences.

The role emphasizes foundation model optimization, governance, and collaboration across teams, with guidance to elevate technical maturity within the AI organization.