AI / ML Engineer
unitedhealthgroup
Job Description
- Agentic AI Development
- Design and implement autonomous and multi-agent systems capable of planning, reasoning, tool invocation, and workflow execution
- Build agent workflows using agent orchestration frameworks
- Develop reusable agent components, skills, tools, and enterprise integrations
- Enable human-in-the-loop controls and agent governance mechanisms
- LLM & Generative AI Engineering
- Evaluate, select, and integrate appropriate Large Language Models (LLMs) for business use cases
- Design robust prompt engineering and prompt management strategies
- Optimize model performance, latency, cost, and response quality
- Implement model evaluation and monitoring frameworks
- Retrieval-Augmented Generation (RAG)
- Design and implement enterprise-scale RAG solutions
- Build document ingestion, chunking, embedding, retrieval, and ranking pipelines
- Manage vector databases and knowledge repositories
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Improve factual accuracy and reduce AI hallucinations through grounded retrieval strategies
- 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