Lead Software Engineer (AI Search & Document Intelligence)

U.S. Bank•Atlanta, GA

3d•$133,365 - $156,900•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 transform unstructured data into actionable business intelligence. The role provides technical leadership for end-to-end platform architecture and development, including repository-agnostic content management, process orchestration, intelligent document processing, AI-enabled discovery, and cloud modernization. It involves designing Java and Spring Boot microservices and REST APIs; building IDP solutions; architecting AI-powered search and retrieval; championing Generative AI and AI-assisted software development; and leading Azure and Kubernetes modernization. The engineer partners with business, product, security, and engineering teams, mentors engineers, leads architecture reviews, and drives operational excellence, reliability, and production support. The position requires working from a U.S. Bank location three or more days per week. The salary range is $133,365 to $156,900, with the actual range potentially differing by location. The listed salary range is based on the primary location.

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.
Knowledge of Kafka and event-driven architecture.
Experience with PostgreSQL and enterprise data platforms.
Intelligent Document Processing skills, including OCR, document classification, metadata and entity extraction.
AI search and retrieval skills, 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.
Knowledge of CI/CD, secure software development, observability, production support, and technical leadership.
Ability to work from a U.S. Bank location three or more days per week.
Ability to comply with U.S. Bank policies and procedures, including its Code of Ethics and Business Conduct and related workplace conduct and safety policies.

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.
Champion 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 term and optional term life insurance.
Short-term and long-term disability coverage.
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, 401(k) contribution, and pension, subject to eligibility requirements.