Senior AI/ML Engineer

Requisition Number: 2352399
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 Responsibility:

• 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
• 5+ years of software engineering or automation experience
• 2+ years of hands-on experience with Python in production environments
• 2+ years of experience building automation frameworks or test automation solutions
• 2+ years of experience with cloud platforms (AWS preferred) and related services
• 1+ year of experience working with LLMs, AI/ML systems, or prompt engineering
• Experience integrating REST APIs and working with microservices architectures
• Experience implementing CI/CD pipelines using tools such as GitHub Actions, Jenkins, or similar
• Experience with logging, monitoring, and observability tools in production systems* Experience building evaluation frameworks for LLMs (e.g., accuracy scoring, benchmarking, test datasets)
• Experience with containerization technologies (Docker, Kubernetes)
• Experience working in regulated environments (e.g., healthcare, finance)
• Experience building evaluation frameworks for LLMs (e.g., accuracy scoring, benchmarking, test datasets)
• Familiarity with frameworks such as LangChain, LlamaIndex, or similar LLM orchestration tools
• Proven exposure to data pipelines, vector databases, or RAG-based architectures
• Proven solid problem-solving, communication, and technical leadership skills

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.