Lead Software Engineer (AI Search & Document Intelligence)

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 deep technical leadership with hands-on engineering to build scalable, cloud-native solutions that transform unstructured data into actionable business intelligence. Key Responsibilities • Provide technical leadership for the end-to-end architecture and development of the Enterprise Document Management Platform, driving innovation in repository-agnostic content management, process orchestration, intelligent document processing, AI-enabled discovery, and cloud modernization initiatives. • Design and develop Java, Spring Boot, Microservices, and REST APIs in a cloud-native environment. • Build end-to-end Intelligent Document Processing (IDP) solutions using OCR, document classification, data extraction, and workflow automation. • Architect AI-powered search and retrieval capabilities leveraging Semantic Search, Vector Search, Hybrid Search, and RAG (Retrieval-Augmented Generation). • Champion the use of Generative AI, Large Language Models (LLMs), 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. Basic Qualifications - Bachelor's degree, or equivalent work experience - Six to eight years of relevant experience Required Skills • Java, Spring Boot, REST APIs, Microservices, and Distributed Systems • Microsoft Azure, Kubernetes, and cloud-native application development • Kafka and event-driven architecture • PostgreSQL and enterprise data platforms • Intelligent Document Processing (IDP) including OCR, document classification, metadata and entity extraction • AI Search & Retrieval including Semantic Search, Vector Search, Hybrid Search, Embeddings, and RAG • Generative AI, Large Language Models (LLMs), and GitHub Copilot or similar AI-assisted development tools • CI/CD, Secure Software Development, Observability, Production Support, and Technical Leadership Location expectations This role requires working from a U.S. Bank location three (3) or more days per week. Benefits: Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following: • 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 Review our full benefits available by employment status here. The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $133,365.00 - $156,900.00 Posting may be closed earlier due to high volume of applicants.