Note: The job is a remote job and is open to candidates in USA. UnitedHealth Group, through Optum, delivers technology-enabled care and resources that help millions of people live healthier lives. The Senior Software Engineer will develop and deliver scalable enterprise software and AI-powered applications in the Clinical AI domain, including intelligent orchestration, automated workflows, and Touchless Prior Authorization initiatives. The role also involves cross-functional collaboration, solution architecture, cloud-native development, responsible AI practices, and mentoring engineers.
Responsibilities
- Collaborate cross-functionally with business, product, engineering, security, infrastructure, and operational partners to identify AI integration opportunities that improve automation, workflow intelligence, decision support, and delivery speed
- Translate business and operational needs into clear technical requirements, ensuring solutions align with enterprise architecture standards, stakeholder goals, and responsible AI expectations
- Design, develop, and deliver advanced AI-enabled integration solutions, including intelligent orchestration and AI-assisted workflows
- Drive AI 10.0 initiatives by creating scalable, high-quality implementations that reduce manual effort, improve operational consistency, and accelerate delivery of critical automation work
- Assess internal and external solution options for fit within enterprise infrastructure, including compatibility, scalability, security, reliability, data handling, observability, supportability, and long-term maintainability
- Use enterprise-approved AI tools to streamline workflows, automate testing, and drive continuous improvement
- Ensure solutions meet enterprise standards for identity and access management, data privacy, compliance, resilience, monitoring, incident response, change management, auditability, and responsible AI use
- Mentor engineers and influence best practices for AI-enabled solution design, automation, AI-assisted engineering, sustainable platform integration, operational readiness, and continuous improvement
- Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI
Skills
- Bachelor's degree in Science or Technology, or equivalent experience
- 5+ years of full-stack engineering experience using Java, Python, Node.js, and modern front-end frameworks
- 4+ years of experience with building and operating cloud-native solutions in Azure, AWS, or GCP
- 3+ years of experience providing technical leadership to engineers, including mentoring, design review, delivery oversight, and best-practice adoption
- 3+ years of experience with CI/CD, DevOps tooling, and modern software delivery practices
- Strong understanding of Generative AI, responsible AI, AI governance, model integration patterns, and enterprise AI enablement practices, demonstrated through certifications
- Hands-on experience building or enabling AI/ML-powered engineering workflows, including use of AI to improve SDLC productivity and operations
- Strong understanding of event-driven architecture, security, identity, logging, observability, performance tuning, and production operations
- Hands-on experience with Java, Python, and modern JavaScript frameworks for development and testing, as well as GitHub Copilot workflows and skills
- Experience with healthcare technology, healthcare data, regulated environments, or enterprise compliance expectations
- Experience with Agile/Scrum methodologies, technical refinement, backlog shaping, dependency management, and delivery planning
Benefits
- Comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution
- Career development opportunities
- Flexibility to telecommute from anywhere within the U.S.
Company Overview