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# Sr. AI/ML Engineer - Remote

- **Company:** LHC Group, Inc.
- **Location:** Eden Prairie, MN, United States (Remote available)
- **Experience:** Expert
- **Salary:** $120,100.0 - $214,500.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Health Informatics, Cloud Computing, Continuous Integration, Relational Databases, Distributed Systems, Github, Hibernate (Java), Interoperability, Java Persistence API, PostgreSQL, MySQL, OAuth, Oracle (Applications), Prometheus, JSON Web Token, Software Engineering, Systems Integration, Data Logging, Cloud Platform System, Fast Healthcare Interoperability Resources, Delivery Pipeline, Grafana, Spring-boot, Software Security, Backend, Git, Event Driven Architecture, Containerization, Kubernetes, Information Technology, Apache Kafka, Restful APIs, Splunk, Docker, Jenkins, Microservices
- **Published:** October 16, 2026
- **Apply:** https://www.careerjet.com/job/us28456674fd179374f252a7355c3caba2/eaa

## About the Role

* 5+ years of software engineering experience designing and deploying microservices and RESTful APIs using Java 17/21 and Spring Boot
 * 3+ years of experience with relational databases (Oracle, PostgreSQL, MySQL) using Spring Data JPA or Hibernate
 * 2+ years of experience building, integrating, or leveraging enterprise AI tools and solution components to optimize engineering workflows and business processes
 * 2+ years of experience implementing event-driven architectures using Apache Kafka
 * 2+ years of experience deploying scalable applications in cloud environments (AWS or Azure) using Docker and Kubernetes
 * 2+ years of experience setting up CI/CD automation pipelines (GitHub Actions, Jenkins, or Azure DevOps) and version control using Git/GitHub, * Bachelor's degree in Computer Science, Health Informatics, or a related technical field (or equivalent work experience)
 * 2+ years of experience working with healthcare interoperability standards (HL7 FHIR) and Da Vinci Implementation Guides (CRD, DTR, or PAS)
 * Domain experience in healthcare operations, including Prior Authorization, Claims Processing, Member Eligibility, and Provider Data
 * Expertise in API security protocols including OAuth 2.0, JWT, and OAuth Client Credentials

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.

## Description

The OptumHealth 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 design, develop, and deploy 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 prior authorization, claims, eligibility, and provider domains to drive operational excellence and improve healthcare outcomes.
You'll enjoy the flexibility to work remotely* from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:

 * Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI
 * Leverage enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement
 * Evaluate emerging trends to inform solution design and strategic innovation
 * Build and maintain enterprise RESTful APIs and microservices using Java 17/21 and Spring Boot
 * Implement healthcare interoperability standards including HL7 FHIR and Da Vinci Implementation Guides (CRD, DTR, PAS) across prior authorization, claims, member, provider, and eligibility domains
 * Build event-driven backend components using Apache Kafka and integrate with relational databases (Oracle, PostgreSQL, MySQL) utilizing Spring Data JPA and Hibernate
 * Support 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 systems using Splunk, ELK, Prometheus, and Grafana

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.