Lead Artificial Intelligence Engineer (Development & Infrastructure)

full time · Lead / Staff / Principal

$133,365 – $156,900

Listed on U.S. Bank’s own careers site. You apply with them directly — we never stand between you and the employer.

What this role is

U.S. Bank is hiring a software engineer to build and maintain AI-powered financial products, with particular focus on generative AI systems, retrieval-augmented generation pipelines, and agentic AI workflows. This role suits experienced engineers comfortable bridging traditional software engineering with emerging AI technologies in a regulated financial environment.

Our summary, not U.S. Bank’s wording. The full posting is on their site.

Skills this role names

Log in to see which of these are already on your profile.

What they ask for

Required

Bachelor's degree in computer science, engineering, or related field, or equivalent practical experience
10+ years of software development experience in Python and Java or other object-oriented languages
3+ years leading software projects with enterprise-level solutions
2-3 years with containerization and orchestration tools (Docker, Kubernetes)
2-3 years of hands-on experience with generative AI use cases including RAG architectures and prompt engineering
Experience building and integrating vector databases for semantic search
Practical experience building AI applications using LangChain and LangGraph
2-3 years building data-driven APIs and services using Python
Working knowledge of Agile software development lifecycle and DevOps practices
Understanding of responsible AI principles and model limitations in regulated environments

Nice to have

Exposure to agentic AI concepts such as multi-step reasoning and tool invocation
Exposure to knowledge graph concepts and graph databases like Neo4j and TigerGraph
Familiarity with modern UI frameworks like React and how AI services integrate into user-facing applications