Senior AI/ML Engineer (Remote) — LLM & RAG Lead

Latitude; Eden Prairie (MN); Remote; USD 120,000 - 215,000; Full time

Benefits offered by this job

Telecommuting allowed

Job summary

UnitedHealth Group seeks a Senior AI/ML Engineer to design, build, and operationalize AI capabilities at enterprise scale within the Finance organization. You will lead AI-powered solutions including LLM workflows, RAG applications, and decision-support tools.

You will partner with Finance, Data Engineering, Architecture, Security, and Responsible AI teams to deliver trusted, scalable AI solutions that align with governance and productization standards.

Qualifications

• 3+ years of software engineering, ML, or AI engineering experience.
• 2+ years of cloud-native architectures, APIs, and scalable systems.
• 1+ years building and deploying generative AI/LLM applications in production.

Responsibilities

• Design, develop, and deploy AI-powered solutions and architectures (LLM workflows, prompt orchestration, agent-based solutions, RAG, decision-support).
• Develop prompt strategies, grounding approaches, tool-calling patterns, guardrails, and fallback mechanisms.
• Collaborate with Data Engineering for trusted, governed enterprise data sources.
• Establish evaluation frameworks, datasets, scoring rubrics, and model-performance benchmarks.
• Monitor output quality, latency, cost, and hallucination risk in production systems.
• Conduct failure-mode analysis and continuous improvements to AI systems and workflows.
• Partner with Quality, Security, Privacy, Compliance, and EA teams.

Skills

Software engineering

Machine learning

AI engineering

Education

Master's degree

Tools

APIs

LLM deployments

Job description

UnitedHealth Group seeks a Senior AI/ML Engineer to design, build, and operationalize AI capabilities at enterprise scale within the Finance organization. You will lead AI-powered solutions including LLM workflows, RAG applications, and decision-support tools.

You will partner with Finance, Data Engineering, Architecture, Security, and Responsible AI teams to deliver trusted, scalable AI solutions that align with governance and productization standards.