Staff AI Engineer - Foundation Models & Responsible AI

Capital One; New York (NY); On-site; USD 294,000 - 335,000; Full time

Job summary

Capital One is seeking a Staff AI Engineer to join the IFX team in New York. You will design, develop, test, and deploy AI software components, including foundation model training and inference, to power real-time experiences for customers.

You will optimize performance, leverage Open Source and SaaS AI technologies, and drive responsible AI practices while mentoring peers and shaping the future enterprise AI roadmap at Capital One.

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.
• 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

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

Python

Go

Scala

CUDA

Java

Job description

Capital One is seeking a Staff AI Engineer to join the IFX team in New York. You will design, develop, test, and deploy AI software components, including foundation model training and inference, to power real-time experiences for customers.

You will optimize performance, leverage Open Source and SaaS AI technologies, and drive responsible AI practices while mentoring peers and shaping the future enterprise AI roadmap at Capital One.