AI / ML Engineer
unitedhealthgroup
Job Description
- Design, develop, and implement AI/ML and Generative AI solutions supporting Core Claims initiatives including Duplicate Overpayments, Fraud, Waste & Abuse (FWA) Disputes, and First Pass Claims
- Develop and deploy Large Language Model (LLM) powered applications, prompt engineering solutions, and Retrieval-Augmented Generation (RAG) frameworks
- Apply AI techniques to automate claims workflows including classification, intelligent routing, document understanding, decision support, and operational triage
- Collaborate with engineering, product, analytics, and business teams to build scalable AI solutions that address complex business challenges
- Develop frameworks for model evaluation, performance testing, validation, and continuous improvement
- Partner with data science and engineering teams on feature engineering, model deployment, inference optimization, and production support
- Ensure adherence to Responsible AI practices, including explainability, governance, fairness, and model validation standards
- Identify opportunities to improve operational efficiency through AI-driven automation and intelligent decision-making
- Stay current with advancements in Artificial Intelligence, Generative AI, Large Language Models, and related technologies
- 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