Senior AI Engineer - Agentic & Gen AI Workflows

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

Job summary

Capital One is hiring an AI Engineer 4 in New York, NY to build responsible, scalable AI systems. You will design and deploy AI software across foundation models, inference workloads, and agentic workflows while ensuring governance and observability.

Expect collaboration with research, engineering, and product teams to deliver real-time, customer-focused AI experiences. The role emphasizes hands-on development with PyTorch, HuggingFace, VectorDBs, and cloud technologies, plus strong mentorship

Qualifications

• Bachelor's or Master's with required years of AI/ML experience as stated.
• At least 4 years of programming experience with Python, Go, Scala, CUDA or Java.
• Experience developing AI/ML algorithms or technologies.

Responsibilities

• Partner with cross-functional teams to deliver AI-powered products.
• Design, develop, test, deploy, and support AI software components including training and inference.
• Leverage Open Source and SaaS AI technologies such as AWS, Huggingface, VectorDBs, PyTorch.
• Define and maintain SLOs for AI reliability and performance.
• Mentor associates on scalable design, performance tuning and production translation.

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

PyTorch

Job description

Capital One is hiring an AI Engineer 4 in New York, NY to build responsible, scalable AI systems. You will design and deploy AI software across foundation models, inference workloads, and agentic workflows while ensuring governance and observability.

Expect collaboration with research, engineering, and product teams to deliver real-time, customer-focused AI experiences. The role emphasizes hands-on development with PyTorch, HuggingFace, VectorDBs, and cloud technologies, plus strong mentorship