Lead Artificial Intelligence Engineer (Development & Infrastructure)

US Bank; Hopkins (MN); On-site; USD 120,000 - 170,000; Full time

Job summary

U.S. Bank is seeking a Software Engineer to contribute to AI-enabled software initiatives in our digital transformation journey. You will design, develop, test, and maintain software artifacts following U.S. Bank standards, collaborating with teams and applying DevOps practices.

The role emphasizes GenAI use cases, RAG pipelines, vector databases, and integration with user interfaces, requiring strong Python and Java experience and project leadership.

Qualifications

• Bachelor's degree in computer science, engineering, or related field
• 6-8 years of relevant software engineering experience
• Strong Python and Java development experience
• Experience with GenAI use cases and AI pipelines

Responsibilities

• Contribute to designing, developing, testing, operating, and maintaining software and AI-enabled products
• Develop production-ready, testable code for components, services, and AI workflows
• Assist in building and integrating Generative AI solutions, including RAG pipelines
• Support tooling and architecture for scalable, reliable AI systems
• Participate in code reviews and ensure security/compliance standards are met
• Follow Agile and DevOps practices across the lifecycle

Skills

Python

Java

OOP

GenAI

DevOps

Docker

Kubernetes

LangChain

LangGraph

Education

Bachelor's degree in CS/Engineering

Tools

Docker

Kubernetes

FAISS

Pinecone

Weaviate

OpenSearch

Neo4j

Job description

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.

Job Description

Be a part of transformational change where integrity matters, success inspires and great teams collaborate and innovate. As the fifth-largest bank in the United States, we're one of the country's most respected, innovative, ethical and successful financial institutions. We're looking for people who want more than just a job - they want to make a difference! U.S. Bank is seeking a Software Engineer who will contribute toward the success of our technology initiatives in our digital transformation journey.

This position will be responsible for the analysis, design, testing, development and maintenance of best in class software experiences. The candidate is a self-motivated individual who can collaborate with a team and across the organization. The candidate takes responsibility of the software artifacts produced adhering to U.S. Bank standards in order to ensure minimal impact to the customer experience. The candidate will be adept with the agile software development lifecycle and DevOps principles.

Essential 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 (RAG) pipelines using vector databases
• Support the development and enhancement of agentic AI systems, such as task-oriented AI agents that can 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; propose fixes under guidance
• Make sound design and implementation decisions with customer and employee experience in mind; escape risks and questions appropriately
• Incorporate feedback from code reviews and update implementations to meet engineering, security, and compliance standards
• Participate in code reviews (as author and reviewer) to learn and apply software and AI engineering best practices
• Follow compliance, risk, data privacy, and security best practices in all phases of product and AI solution development
• Learn and apply software reliability engineering (SRE) practices and AI evaluation techniques embedded in the team's standards
• Stay curious about emerging technologies in GenAI, agentic frameworks, and vector search, contributing ideas, prototypes, and proofs of concept
• Contribute to a culture of innovation, collaboration, and continuous improvement
• Communicate progress, blockers, and risks early; collaborate with the team to deliver well-scoped, incremental features

Basic Qualifications

• Bachelor's degree in computer science, Engineering, or related field, or equivalent practical experience
• Six to eight years of relevant software engineering experience

Experience Should Include

• 10+ years of overall software development experience in Python AND Java or other object-oriented languages
• 3+ years of leading software projects with enterprise level solutions
• 2 -3 years of containerization & orchestration (Docker and Kubernetes, Bedrock, LLMs and vector databases
• 2-3 years of hands-on experience with Generative AI use cases, including RAG architectures, prompt engineering, and evaluation approaches
• Experience building and integrating vector databases (e.g., FAISS, Pinecone, Weaviate, OpenSearch, Azure AI Search) for semantic search and AI-powered retrieval
• Exposure to agentic AI concepts, such as multi-step reasoning, tool invocation, workflow orchestration, and AI agents built using modern frameworks
• Practical experience building AI applications using LangChain and LangGraph, including the design and orchestration of complex agent workflows and retrieval-augmented generation pipelines
• 2-3 years of experience building data-driven APIs and services using Python
• Exposure to Knowledge Graph concepts and graph databases (e.g., Neo4j, TigerGraph) is a plus.
• Familiarity with modern UI frameworks (e.g., React) and how AI services integrate into user-facing applications is a plus
• Working knowledge of Agile software development lifecycle and DevOps practices
• Understanding of how AI-powered features impact user workflo