Job Description

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, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start

Caring. Connecting. Growing together.

Primary Responsibilities:

Design and implement scalable solutions that integrate Generative AI capabilities (e.g., LLMs, RAG, embeddings/vector databases, MCP) into enterprise applications and cloud-native architectures Leverage AI-powered software development lifecycle (SDLC) tools such as GitHub Copilot to generate unit tests, integration tests, user stories, and accelerate code development Build rapid prototypes and proof-of-concepts using cutting-edge tools and techniques such as vibe coding, agentic frameworks, and prompt engineering Collaborate closely with product owners, architects, and DevOps teams to ensure secure, performant, and maintainable implementations aligned with enterprise cloud and AI strategies Contribute to the development, deployment, and monitoring of microservices using CI/CD pipelines, GitHub Projects, and Infrastructure as Code (IaC) tools Participate in defining technical standards, reusable components, and best practices for integrating GenAI into modern cloud applications Utilize telemetry and monitoring tools to gather performance insights, diagnose issues, and continuously optimize AI-powered services Stay current with advancements in generative AI and contribute to internal knowledge sharing, demos, and pilot initiatives Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

Undergraduate degree or equivalent experience Practical experience using GitHub features-such as Projects, Actions, workflows, and repository management-for code collaboration, automation, and workflow orchestration Experience in containerization and orchestration using Docker and Kubernetes to build, deploy, and scale cloud-based applications Apply solid hands-on experience in Java, Python, and modern frameworks to build robust, AI-enhanced solutions and improve developer productivity Working knowledge of telemetry and observability tools (e.g., Prometheus, Grafana, OpenTelemetry, Datadog) for monitoring application performance and debugging distributed systems Familiarity with AI-powered SDLC tools (e.g., GitHub Copilot) for generating code, test cases, and documentation to accelerate development cycles Understanding of Agile software development practices and the ability to collaborate effectively with product and engineering teams to deliver high-impact AI features Solid understanding of public cloud architecture (Azure, AWS, or GCP), microservices design, and hands-on experience with Infrastructure as Code (IaC) using Terraform or similar frameworks Proficiency in Python and/or Java for developing scalable applications and automating workflows within CI/CD pipelines and cloud-native environments Proven solid problem-solving skills with a focus on building reliable, secure, and maintainable solutions leveraging modern AI and cloud technologies Proven hands-on exposure to Generative AI technologies, including working with large language models (LLMs), retrieval-augmented generation (RAG), vector databases (e.g., Pinecone, FAISS), and agentic frameworks

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes -- an enterprise priority reflected in our mission.