Senior AI/ML Engineer

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, develop, and deploy sophisticated machine learning models for production environments using supervised, unsupervised, reinforcement learning, deep learning, and advanced NLP techniques
Build and optimize generative AI solutions including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), transformer architectures, and agentic AI systems using frameworks like LangGraph and LangChain
Deploy, fine-tune, and integrate LLMs from providers such as OpenAI, demonstrating expertise in prompt engineering, model customization, and optimization techniques
Conduct comprehensive model testing, validation, and performance optimization using rigorous evaluation metrics to ensure production-grade quality and reliability
Design and implement containerized AI/ML solutions using Docker and Kubernetes, establishing robust CI/CD pipelines with GitHub Actions for automated testing, validation, and deployment
Leverage Azure and AWS services for AI/ML projects including Databricks, AKS/EKS, Azure Data Factory, Cognitive Services, and Logic Apps, managing system scaling and cloud migrations
Collaborate with cross-functional teams to preprocess, analyze, and interpret extensive datasets; translate business requirements into scalable AI/ML solutions
Identify and resolve code vulnerabilities, implement security best practices, and ensure compliance with AI/ML governance frameworks, ethics guidelines, and responsible AI practices
Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements
Required Qualifications
Undergraduate degree or equivalent experience
8+ years of total software engineering and AI/ML experience
3+ years of hands-on experience developing and deploying AI-based projects in production environments
Demonstrated expertise in multiple machine learning approaches and techniques
Proven success containerizing and deploying AI/ML projects at scale
Track record of implementing and maintaining CI/CD pipelines for ML workflows
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.
#NIC

Work arrangement
No