Staff AI Engineer: Build Scalable, Responsible AI Systems

Capital One; San Jose (CA); On-site; USD 294,000 - 335,000; Full time

Job summary

Capital One is seeking a Staff AI Engineer to join its AI engineering teams in San Jose, CA. You will design and build AI software components, including foundation model training, LLM inference, agents and multi-model workflows, and observability, while leveraging Open Source and SaaS AI technologies.

You will influence enterprise AI architecture, drive efficiency in model routing and caching, champion responsible AI, and mentor multiple engineering teams to advance Capital One's AI roadmap.

Qualifications

• Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI/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.
• 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 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

HuggingFace

PyTorch

AWS

Google Cloud

VectorDBs

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 Ultraclusters

VectorDBs

Kubernetes

Job description

Capital One is seeking a Staff AI Engineer to join its AI engineering teams in San Jose, CA. You will design and build AI software components, including foundation model training, LLM inference, agents and multi-model workflows, and observability, while leveraging Open Source and SaaS AI technologies.

You will influence enterprise AI architecture, drive efficiency in model routing and caching, champion responsible AI, and mentor multiple engineering teams to advance Capital One's AI roadmap.