Senior AI Engineer: Scalable, Responsible AI Systems

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

Benefits offered by this job

Performance-based incentives

Job summary

Capital One is seeking an AI Engineer 4 in New York to design, develop, and deploy AI software components including foundation models, agents, and multi-agent workflows. You will work with Open Source and SaaS AI tech, optimize performance, and help shape the long-term AI platform roadmap.

The role requires strong engineering and ML background, ability to lead cross-functional efforts, and a commitment to responsible AI practices. Expect competitive salary and incentive-based rewards.

Qualifications

• Bachelor's or Master's in a technical field with relevant AI/ML experience
• Experience with AI/ML algorithms and production systems
• Strong programming and system design skills

Responsibilities

• Collaborate with cross-functional teams to deliver AI-powered products
• Develop, test, deploy, and support AI software components including LLMs and agents
• Leverage Open Source and SaaS AI technologies
• Optimize foundation model performance for production scale
• Contribute to architectural vision and roadmaps for AI systems
• Ensure maintainability, observability, and ethics in AI systems
• Define SLOs for reliability and model performance drift
• Work with infra engineers to optimize GPU/TPU utilization
• Lead technical reviews for new AI deployments
• Mentor junior engineers on scalable design and research-to-production translation

Skills

Python

Go

Scala

CUDA

Java

Education

Bachelor's Degree in CS/AI/EE/CE or related + 4 yrs exp

Master's Degree in CS/AI/EE/CE or related + 2 yrs exp

Tools

AWS Ultraclusters

Huggingface

VectorDBs

PyTorch

Job description

Capital One is seeking an AI Engineer 4 in New York to design, develop, and deploy AI software components including foundation models, agents, and multi-agent workflows. You will work with Open Source and SaaS AI tech, optimize performance, and help shape the long-term AI platform roadmap.

The role requires strong engineering and ML background, ability to lead cross-functional efforts, and a commitment to responsible AI practices. Expect competitive salary and incentive-based rewards.