Lead Software Engineer AI Search Document Intelligence

Job description

Job Description

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.

If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants .

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 .

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation,