Staff AI Engineer, Enterprise Analysis Platform — Remote

Military Friendly Company; Montgomery (AL); Remote; USD 245,000 - 279,000; Full time

Job summary

Capital One is hiring Staff AI Engineer for the Enterprise Analysis Platform. This remote-eligible role partners with cross-functional teams to deliver AI-powered products, designing and deploying AI software components and advancing foundation model optimization in a scalable, secure environment.

You will drive architecture, governance, and observability across enterprise AI systems, mentoring engineers and shaping the long-term roadmap while upholding responsible AI principles.

Qualifications

• Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree plus at least 6 years of experience
• At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java

Responsibilities

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
• Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
• Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.
• Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.
• Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.
• Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams
• Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads
• Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design
• Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds

Skills

Python

Go

Scala

CUDA

Java

Education

Bachelor's degree in CS/AI/EE/CE

Master's degree in CS/AI/EE/CE

Tools

AWS Ultraclusters

Huggingface

VectorDBs

PyTorch

Job description

Capital One is hiring Staff AI Engineer for the Enterprise Analysis Platform. This remote-eligible role partners with cross-functional teams to deliver AI-powered products, designing and deploying AI software components and advancing foundation model optimization in a scalable, secure environment.

You will drive architecture, governance, and observability across enterprise AI systems, mentoring engineers and shaping the long-term roadmap while upholding responsible AI principles.