Lead Software Engineer (AI Search & Document Intelligence)

U.S. Bank•Hopkins, MN

2d•Hybrid

About The Position

Lead the architecture, modernization, and delivery of an enterprise Document Management Platform powered by AI, Intelligent Document Processing (IDP), Generative AI, and Enterprise Search. This role combines technical leadership with hands-on engineering to build scalable, cloud-native solutions that turn unstructured data into actionable business intelligence. The position provides technical leadership for the end-to-end architecture and development of the platform, including repository-agnostic content management, process orchestration, intelligent document processing, AI-enabled discovery, and cloud modernization. The engineer partners with business, product, security, and engineering teams to deliver scalable, secure, and compliant solutions, while mentoring engineers, leading architecture reviews, and promoting operational excellence, reliability, and production support. The role requires working from a U.S. Bank location three or more days per week. The posted pay range is $133,365 to $156,900. U.S. Bank offers a comprehensive benefits package, subject to eligibility requirements.

Requirements

Bachelor’s degree or equivalent work experience.
Six to eight years of relevant experience.
Experience with Java, Spring Boot, REST APIs, microservices, and distributed systems.
Experience with Microsoft Azure, Kubernetes, and cloud-native application development.
Experience with Kafka and event-driven architecture.
Experience with PostgreSQL and enterprise data platforms.
Knowledge of Intelligent Document Processing, including OCR, document classification, metadata extraction, and entity extraction.
Knowledge of AI search and retrieval, including semantic search, vector search, hybrid search, embeddings, and RAG.
Experience with Generative AI, Large Language Models, and GitHub Copilot or similar AI-assisted development tools.
Experience with CI/CD, secure software development, observability, production support, and technical leadership.

Responsibilities

Provide technical leadership for end-to-end architecture and development of the Enterprise Document Management Platform.
Drive innovation in repository-agnostic content management, process orchestration, intelligent document processing, AI-enabled discovery, and cloud modernization.
Design and develop Java, Spring Boot, microservices, and REST APIs in a cloud-native environment.
Build end-to-end Intelligent Document Processing solutions using OCR, document classification, data extraction, and workflow automation.
Architect AI-powered search and retrieval capabilities using semantic search, vector search, hybrid search, and RAG.
Promote the use of Generative AI, Large Language Models, GitHub Copilot, and emerging AI technologies across the software development lifecycle.
Lead cloud modernization initiatives on Microsoft Azure and Kubernetes, including legacy application transformation.
Partner with business, product, security, and engineering teams to deliver scalable, secure, and compliant solutions.
Mentor engineers, lead architecture reviews, and drive operational excellence, reliability, and production support.

Benefits

Healthcare coverage, including medical, dental, and vision.
Basic and optional term life insurance.
Short-term and long-term disability insurance.
Pregnancy disability and parental leave.
401(k) and employer-funded retirement plan.
Paid vacation of 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 hours worked, up to 80 hours per calendar year unless otherwise provided by law.
Incentive and recognition programs.
Equity stock purchase.