Sr AI​/ML Engineer

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, and data they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits, and career development opportunities.

Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.

We are seeking a Sr AI/ML Engineer to join our team to design, build, and support high-performing full stack web applications, APIs, and data streaming systems while integrating cutting-edge AI technologies and maintaining site reliability. In this role, you will develop modern frontend applications and Java microservices, manage Kubernetes deployments and CI/CD automation, leverage AI-powered tools to accelerate development and quality, and maintain application observability to support enterprise systems.

You’ll enjoy the flexibility to telecommute
* from anywhere within the U.S. as you take on some tough challenges.

• Develop responsive and intuitive frontend applications using modern JavaScript frameworks (React.js preferred) and Tan Stack Query
• Design and build REST and GraphQL APIs in Java, integrating with high-performance MySQL database schemas optimized for high-volume transactional workloads
• Design and implement Kafka producers and consumers, including schema design, partitioning strategies, and reliable message processing
• Deploy, configure, scale, and troubleshoot services on Kubernetes-based platforms
• Setup and manage deployment pipelines using Git Hub Actions, including reusable workflows, environment secrets, automated deployment rules, and JFrog Artifactory integration
• Use enterprise-approved AI-powered development tools (e.g., Git Hub Copilot) for code generation, refactoring, debugging, workflow automation, and documentation
• Monitor logs, track performance trends, and proactively troubleshoot production issues using observability tools including Splunk, Dynatrace, Zabbix, and Grafana
• Write JUnit tests with high code coverage, utilizing static and dynamic analysis tools (e.g., CodeQL, Sonar Qube) to identify and remediate security and quality issues
• Participate in Product Lifecycle Management (PLM) activities, code reviews, architectural discussions, and agile ceremonies while maintaining detailed documentation for application features and security controls
• Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI

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.

• Bachelor’s degree in Computer Science, Software Engineering, or related technical field, or equivalent practical experience

• 4+ years of full-stack engineering experience with strong backend and frontend development expertise
• 3+ years of expertise in building AI/ML solutions leveraging LLMs, Generative AI and models
• 3+ years of hands-on experience with building, deploying, and maintaining cloud applications. (Eg, AWS, GCP, Azure)
• 3+ years of experience implementing event-driven streaming solutions with Apache Kafka, including schema design and partitioning strategies
• 3+ years of experience designing high-performance MySQL database schemas optimized for high-volume transactional workloads
• 3+ years of experience configuring,…