Senior AI or ML Engineer

Requisition Number: 2350613
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 agentic AI systems leveraging LLMs, tools, memory, and orchestration layers
• Architect multi agent workflows for complex business processes (planning, execution, reflection loops)
• Develop autonomous decision making agents with human in the loop controls and exception handling
• Implement LLM based reasoning patterns (ReAct, Plan Execute Reflect, Tool augmented agents)
• Lead development of agent orchestration frameworks and task delegation mechanisms
• Integrate agents with enterprise systems, APIs, data platforms, and tools securely
• Build RAG pipelines optimized for agent memory, long term context, and retrieval accuracy
• Ensure scalability, reliability, and observability of agentic systems in production
• Apply Responsible AI principles: safety, bias mitigation, explainability, auditability, and governance
• Conduct model evaluation, agent behavior testing, and failure mode analysis
• Own end to end ML lifecycle: experimentation - deployment - monitoring - optimization
• Collaborate with Product, TPMs, Security, and Compliance teams to deliver enterprise grade solutions
• Mentor junior engineers and contribute to AI engineering best practices and standards
• Drive reuse of agent components, reference architectures, and accelerators across teams
• 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:

• Computer Science Graduate, MCA , BE , BTech. preferably someone who did master in Data Science
• Solid hands-on expertise in Python and ML/AI frameworks (PyTorch, TensorFlow)
• Experience with LLMs, prompt engineering, RAG, and agent frameworks
• Experience deploying AI solutions on cloud platforms with containerization (Docker/Kubernetes)
• Solid understanding of distributed systems, APIs, and event driven architectures Proficiency in MLOps: CI/CD, model serving, monitoring, drift detection
• Proficiency in MLOps: CI/CD, model serving, monitoring, drift detection

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.