Senior AI/ML Engineer - Enterprise-Scale LLM Solutions

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

Benefits offered by this job

Telecommuter Policy

Job summary

UnitedHealth Group is seeking a Senior AI/ML Engineer to design, build, and operationalize AI capabilities for the Enterprise Finance organization. You will lead the development of AI-powered solutions including LLM applications, RAG, intelligent agents, classification models, and decision-support tools at enterprise scale.

You’ll enjoy the flexibility to telecommute from anywhere within the U.S. as you tackle challenging problems and collaborate with Finance, Data Engineering, Architecture,

Qualifications

• 3+ years of experience in software engineering, machine learning, or AI engineering.
• 2+ years of experience with cloud-native architectures, APIs, and scalable software systems.
• 1+ years of hands-on experience building and deploying generative AI and LLM-based applications in production environments.

Responsibilities

• Design, develop, and deploy AI-powered solutions and architectures—including LLM workflows, prompt orchestration chains, agent-based solutions, RAG applications, and decision-support capabilities—to solve complex business challenges
• Develop advanced prompt strategies, grounding approaches, tool-calling patterns, guardrails, and fallback mechanisms to improve solution quality, safety, and reliability
• Partner with Data Engineering teams to establish and maintain seamless access to trusted, governed, and high-quality enterprise data sources
• Establish robust evaluation frameworks, test datasets, scoring rubrics, and model-performance benchmarks across AI deliverables
• Monitor and optimize output quality, relevance, accuracy, consistency, latency, cost efficiency, and hallucination risk in production systems
• Conduct failure-mode analysis and implement continuous improvements to AI systems and automated workflows
• Collaborate cross-functionally with Quality Engineering, Responsible AI, Security, Privacy, Compliance, and Enterprise Architecture teams
• Document AI solution behaviors, limitations, risk controls, and operational monitoring requirements
• Support production readiness through observability, system monitoring, model evaluation, and drift detection practices
• Evaluate emerging AI trends, methodologies, and enterprise-approved tools to inform solution design, streamline workflows, and drive strategic innovation

Skills

Software engineering

Machine learning

AI engineering

Education

Master’s degree in Computer Science / Engineering / Data Science

Job description

UnitedHealth Group is seeking a Senior AI/ML Engineer to design, build, and operationalize AI capabilities for the Enterprise Finance organization. You will lead the development of AI-powered solutions including LLM applications, RAG, intelligent agents, classification models, and decision-support tools at enterprise scale.

You’ll enjoy the flexibility to telecommute from anywhere within the U.S. as you tackle challenging problems and collaborate with Finance, Data Engineering, Architecture,