Sr AI/ML Engineer

UnitedHealth Group•Minnetonka, MN

9h•$120,100 - $214,500•Remote

About The Position

Our Company 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. Position Summary 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.

Requirements

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, deploying, scaling, and troubleshooting microservices on Kubernetes-based container platforms
3+ years of experience with CI/CD tools, automated testing frameworks, and modern build pipelines

Nice To Haves

3+ years of experience developing responsive frontend applications using JavaScript/TypeScript, React.js, and TanStack Query
Experience building and deploying AI/ML solutions or integrating machine learning models into enterprise web applications
Demonstrated familiarity with organizational release governance, PLM compliance, and automated security scanning workflows
Hands-on experience leveraging AI-powered development tools (e.g., GitHub Copilot) to improve test coverage, code quality, and productivity
3+ years of experience using enterprise monitoring and observability platforms (Splunk, Dynatrace, Zabbix, Grafana) to track application health and resolve issues

Responsibilities

Develop responsive and intuitive frontend applications using modern JavaScript frameworks (React.js preferred) and TanStack 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 GitHub Actions, including reusable workflows, environment secrets, automated deployment rules, and JFrog Artifactory integration
Use enterprise-approved AI-powered development tools (e.g., GitHub 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, SonarQube) 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