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U.S. Bank

Lead Software Engineer – AI Tools

U.S. Bank

Software Engineer at U.S. Bank contributing to AI powered Software Development Lifecycle.

Posted 7/9/2026full-timeHopkins • Minnesota, Texas • 🇺🇸 United StatesSenior💰 $133,365 - $156,900 per yearWebsite

Tech Stack

Tools & technologies
AzureJavaJavaScriptPythonReactSDLCTypeScript

About the role

Key responsibilities & impact
  • Responsible for designing, developing, testing, operating and maintaining Enterprise AI Agents
  • Takes full stack ownership by consistently writing production-ready and testable code
  • Consistently creates optimal design adhering to architectural best practices; considers scalability, reliability and performance of systems/contexts affected when defining technical designs
  • Performs analysis on failures, propose design changes, and encourage operational improvements
  • Takes feedback from code review and apply changes to meet standards
  • Conducts code reviews to provide guidance on engineering best practices and compliance with development procedures
  • Accountable for ensuring all aspects of product development follow compliance and security best practices
  • Embraces emerging technology opportunities and contributes to the best practices in support of the bank’s technology transformation
  • Contributes to a culture of innovation, collaboration and continuous improvement
  • Reviews tasks critically and ensures they are appropriately prioritized and sized for incremental delivery; anticipates and communicates blockers and delays before they require escalation

Requirements

What you’ll need
  • Bachelor’s degree, or equivalent work experience
  • Six to eight years of relevant experience
  • 8+ years of development and architectural experience
  • Expert in Python Programming with good understanding of other modern programming languages (Java, C#)
  • Experience in developing full-stack applications using React.js, Typescript
  • Experience in building applications using Rest API architecture including Auth Flows, Encryption, Observability
  • Experience in building and deploying GenAI, Agentic AI Applications using either MCP, LangChain, LangGraph, Semantic Kernel, autogen, Azure AI Foundry
  • Developing solutions using RAG architecture patterns and vector databases utilizing Azure AI Services, FAISS etc.
  • Good at GitHub Copilot for accelerated development and understanding on Copilot Studio
  • Fundamental understanding of AI/ML models, prompt engineering.
  • Knowledge on SDLC processes, CI/CD Pipelines, container orchestration

Benefits

Comp & perks
  • Healthcare (medical, dental, vision)
  • Basic term and optional term life insurance
  • Short-term and long-term disability
  • Pregnancy disability and parental leave
  • 401(k) and employer-funded retirement plan
  • Paid vacation (from two to five weeks depending on salary grade and tenure)
  • Up to 11 paid holiday opportunities
  • Adoption assistance
  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

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Hard Skills & Tools
Python ProgrammingJavaC#React.jsTypescriptRest APIAI/ML ModelsPrompt EngineeringRAG Architecture PatternsVector Databases
Soft Skills
CollaborationContinuous ImprovementCritical Review