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U.S. Bank

Runs a national bank and processes card payments

Lead Artificial Intelligence Engineer - Development & Infrastructure

AI Application Engineering +1Posted on Nov 13
Full-time

About the Job

Requirements

  • A bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience.
  • Six to eight years of relevant software engineering experience.
  • Ten or more years of overall software development experience in Python and Java or other object-oriented languages.
  • Three or more years of leading software projects with enterprise-level solutions.
  • Two to three years of containerization and orchestration experience with Docker and Kubernetes, and experience with Bedrock, large language models, and vector databases.
  • Two to three years of hands-on experience with Generative AI use cases, including Retrieval-Augmented Generation architectures, prompt engineering, and evaluation approaches.
  • Experience building and integrating vector databases such as FAISS, Pinecone, Weaviate, OpenSearch, or Azure AI Search for semantic search and AI-powered retrieval.
  • Exposure to agentic AI concepts, including multi-step reasoning, tool invocation, workflow orchestration, and AI agents built using modern frameworks.
  • Practical experience building AI applications using LangChain and LangGraph, including designing and orchestrating complex agent workflows and Retrieval-Augmented Generation pipelines.
  • Two to three years of experience building data-driven APIs and services using Python.
  • Working knowledge of the Agile software development lifecycle and DevOps practices.
  • Understanding of how AI-powered features impact user workflows, decision-making, and trust.
  • Growing understanding of responsible AI principles, model limitations, and guardrails in regulated environments.
  • Ability to collaborate across engineering, product, data, and business teams.
  • Technical proficiency to help define and implement solution requirements for end users.
  • Ability to communicate processes, design decisions, and results with engineers, product owners, scrum masters, vendors, and stakeholders.
  • Solid understanding of algorithms, data structures, architectural design patterns, and best practices.

Responsibilities

  • Contribute to designing, developing, testing, operating, and maintaining software and AI-enabled products with guidance from senior engineers.
  • Develop production-ready, testable code for assigned components, services, and AI workflows.
  • Assist in building and integrating Generative AI solutions, including Retrieval-Augmented Generation pipelines using vector databases.
  • Support development and enhancement of agentic AI systems, such as task-oriented agents that plan, reason, retrieve information, and invoke tools under defined guardrails.
  • Follow established architectural patterns and best practices, considering scalability, reliability, performance, and cost when implementing AI-enabled solutions.
  • Assist with troubleshooting model/output quality issues and root-cause analysis for traditional software and AI components, and propose fixes under guidance.
  • Make sound design and implementation decisions with customer and employee experience in mind, and escalate risks and questions appropriately.
  • Incorporate code review feedback and update implementations to meet engineering, security, and compliance standards.
  • Participate in code reviews as an author and reviewer to learn and apply software and AI engineering best practices.
  • Follow compliance, risk, data privacy, and security best practices throughout product and AI solution development.
  • Learn and apply software reliability engineering practices and AI evaluation techniques embedded in the team’s standards.
  • Stay informed about emerging technologies in Generative AI, agentic frameworks, and vector search, contributing ideas, prototypes, and proofs of concept.
  • Communicate progress, blockers, and risks early, and collaborate with the team to deliver well-scoped, incremental features.

Desired Qualifications

  • Exposure to Knowledge Graph concepts and graph databases such as Neo4j or TigerGraph.
  • Familiarity with modern user-interface frameworks such as React and how AI services integrate into user-facing applications.

About the Company

U.S. Bank

Runs a national bank and processes card payments

U.S. Bank is one of the largest banks in the United States, serving consumers, small businesses, corporations, and government agencies with banking, lending, payments, and wealth management. Its Elavon subsidiary is one of the world's biggest processors of card payments for merchants, handling sales in the United States, Canada, and Europe. People and small businesses use its branches and mobile app for checking, savings, credit cards, mortgages, and loans, while companies use it for corporate cards and cash management, and the bank earns money from loan interest and fees. U.S. Bank received national bank charter No. 24 in 1863, under President Abraham Lincoln, and is based in Minneapolis as the main subsidiary of U.S. Bancorp.

Company size
10,001+
Company stage
IPO
Headquarters
Minneapolis, MN
Founded
1863

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