AI/ML Engineer

Requisition Number: 2362706
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, build, and deploy scalable AI/ML solutions
• Stay updated with the latest advancements in AI/ML techniques and tools, and identify opportunities to apply them to enhance existing solutions
• Collaborate with product, engineering, and business teams
• Contribute to MLOps practices and automation
• Review and guide junior engineers' work
• 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:

• Graduate degree or equivalent experience
• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field - or equivalent practical experience
• 5+ years of professional software engineering experience, with hands-on AI/ML development in production environments
• 5+ years of hands-on experience building AI/ML solutions, including LLMs, Generative AI, and traditional ML models, Design, build, and deploy LLM powered solutions, including RAG pipelines, agentic workflows, decisioning agents, and orchestration layers
• Experience using Git, pull requests, and collaborative development workflows
• Practical experience designing and implementing RAG architectures and working with LLMs / GenAI frameworks
• Experience on agentic AI frameworks like langraph, deep evals
• Experience deploying and operating LLM-powered services at scale
• Solid grasp of ML algorithms, evaluation, and optimization
• Solid understanding of machine learning fundamentals, including training/evaluation workflows, metrics, and common algorithms
• Solid proficiency in Python, with experience building maintainable, testable, and scalable systems
• Familiarity with AI-assisted development tools (e.g., GitHub Copilot) and how to use them effectively in day-to-day engineering work
• Advanced Python and ML frameworks (PyTorch, TensorFlow)
• Cloud platforms (Azure/AWS/GCP - preferred)

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.