[Remote] Lead AI/ML Engineer - Java Background - Remote

Note: The job is a remote job and is open to candidates in USA. Optum is a global organization that delivers technology-enabled care and health services to help people live healthier lives. The Lead AI/ML Engineer will design, develop, and deploy AI-powered healthcare solutions using Java, Spring Boot, microservices, interoperability standards, event-driven architectures, and cloud technologies. The role focuses on clinical workflows, prior authorization, claims, eligibility, provider domains, and operational improvement.

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

Skills

• 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
• 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

Benefits

• Flexibility to work remotely from anywhere within the U.S.
• A comprehensive benefits package
• Incentive and recognition programs, subject to eligibility requirements
• Equity stock purchase, subject to eligibility requirements
• 401k contribution, subject to eligibility requirements

Company Overview

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