Lead AI/ML Engineer - Java Background - Remote

UnitedHealth Group•Eden Prairie, MN

5d•$145,500 - $249,500•Remote

About The Position

The Optum Health Clinical Platforms team is dedicated to modernizing healthcare delivery through high-performing microservices architectures, data interoperability, and intelligent enterprise automation. In this role, you will lead the design, development, and deployment of scalable healthcare solutions integrating modern Java/Spring Boot microservices, healthcare interoperability standards (HL7 FHIR, Da Vinci Implementation Guides), event-driven architectures, and AI-powered capabilities. You will work on high-impact initiatives across clinical workflows, prior authorization, claims, eligibility, and provider domains to drive operational excellence and improve patient outcomes. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges.

Requirements

7+ years of software engineering experience designing and deploying microservices and RESTful APIs using Java 17/21 and Spring Boot
5+ years of experience with relational databases (Oracle, PostgreSQL, MySQL) using Spring Data JPA or Hibernate
3+ years of experience implementing event-driven architectures using Apache Kafka
3+ years of experience deploying scalable applications in cloud environments (AWS or Azure) using Docker and Kubernetes
3+ years of experience setting up CI/CD automation pipelines (GitHub Actions, Jenkins, or Azure DevOps) and version control using Git/GitHub
2+ years of experience building, integrating, or leveraging enterprise AI tools and solution components to optimize engineering workflows and business processes

Nice To Haves

Bachelor's degree in Computer Science, Health Informatics, or a related technical field (or 4+ years of equivalent software engineering experience)
Experience working with healthcare interoperability standards (HL7 FHIR) and Da Vinci Implementation Guides (CRD, DTR, or PAS)
Domain experience in clinical platforms or healthcare operations, including Clinical Workflows, Prior Authorization, Claims Processing, Member Eligibility, and Provider Data
Expertise in API security protocols including OAuth 2.0, JWT, and OAuth Client Credentials

Responsibilities

Design, develop, and deploy AI-powered solutions to address complex business and clinical challenges with an emphasis on responsible use of AI
Architect, build, and maintain enterprise RESTful APIs and microservices supporting Clinical Platforms using Java 17/21 and Spring Boot
Implement healthcare interoperability standards including HL7 FHIR and Da Vinci Implementation Guides (CRD, DTR, PAS) across clinical, prior authorization, claims, member, provider, and eligibility domains
Leverage enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement across engineering practices
Evaluate emerging technology trends to inform solution design and strategic innovation within clinical systems
Build event-driven backend components using Apache Kafka and integrate with relational databases (Oracle, PostgreSQL, MySQL) utilizing Spring Data JPA and Hibernate
Lead CI/CD pipeline automation, containerization, and cloud deployment strategies using Docker, Kubernetes, and cloud infrastructure (AWS/Azure)
Establish end-to-end monitoring, logging, and performance observability across distributed clinical systems using Splunk, ELK, Prometheus, and Grafana