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Lead AI/ML Engineer - Digital Experience - Remote

UnitedHealth Group

Remote · USFull-time$146–250K/yrSeen 1w agoSeen in employer's feed today

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At a glance

Compensation
$146–250K/yr
Location
Remote · US
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Lead AI/ML Engineer will design, build, and operationalize AI capabilities for the Enterprise Finance organization. The role develops LLM applications, RAG, intelligent agents, classification models, summarization workflows, and decision-support tools, partnering with Finance, Data Engineering, Architecture, Security, and Responsible AI teams. The position is remote within the U.S., except hires in Minneapolis or Washington, D.C., who must work in the office at least four days per week.

Skills & qualifications

RequiredNice to have

Skills

Software EngineeringMachine LearningAI EngineeringCloud-Native ArchitecturesAPIsData PlatformsScalable Software SystemsGenerative AILLM ApplicationsPrompt EngineeringRAG ArchitecturesAI AgentsModel EvaluationOperational AI GovernanceResponsible AISecurityPrivacyComplianceAgentic AIFinance FunctionsAI ObservabilityModel MonitoringVector DatabasesSemantic SearchKnowledge Retrieval SystemsEnterprise AI Product Leadership

Qualifications

Bachelor's in CS, Engineering, Data Science or Related Field or Equivalent Experience5+ Years Software, ML or AI Engineering Experience3+ Years Cloud-Native Architecture Experience2+ Years Production Generative AI Experience2+ Years Prompt, RAG, Agent, Evaluation and Governance Experience1+ Years Agentic AI Experience

Benefits

401(k) Match

Full job description

Requisition number: 2394703

Job category: Technology

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us in making healthcare work better for everyone through people-led, responsible AI while Caring. Connecting. Growing together.

Are you passionate about applying AI to solve complex business challenges at enterprise scale? We are seeking a Lead AI/ML Engineer to design, build, and operationalize AI capabilities that drive decision-making, productivity, and innovation across the Enterprise Finance organization. In this role, you will lead the development of AI-powered solutions including large language model (LLM) applications, retrieval-augmented generation (RAG), intelligent agents, classification models, summarization workflows, and decision-support tools. You will work closely with Finance, Data Engineering, Architecture, Security, and Responsible AI teams to deliver trusted, scalable, and governed AI solutions aligned with enterprise engineering practices and productization standards.

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Primary Responsibilities:

  • Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on responsible use of AI

  • Design AI solution architectures aligned with business objectives, risk tolerance, and governance requirements

  • Build and deploy LLM workflows, prompt orchestration chains, agent-based solutions, RAG applications, model integrations, classification models, and decision-support capabilities

  • Develop prompt strategies, grounding approaches, tool-calling patterns, guardrails, and fallback mechanisms to improve solution quality and reliability

  • Evaluate emerging technical trends to inform solution design, platform capabilities, and strategic innovation

  • Leverage enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement

  • Partner with Data Engineering teams to ensure access to trusted, governed, and high-quality data sources

  • Establish evaluation frameworks, test datasets, scoring rubrics, and model-performance benchmarks

  • Monitor and optimize output quality, relevance, accuracy, consistency, latency, cost efficiency, and hallucination risk

  • Support production readiness through observability, monitoring, model evaluation, and drift detection practices while documenting solution behavior and controls

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent experience (e.g., 4+ years of relevant software/AI engineering experience in lieu of degree)

  • 5+ years of experience in software engineering, machine learning, or AI engineering

  • 3+ years of experience with cloud-native architectures, APIs, data platforms, and scalable software systems

  • 2+ years of hands-on experience building and deploying generative AI and LLM-based applications in production environments

  • 2+ years of experience with prompt engineering, RAG architectures, AI agents, model evaluation, and operational AI governance

  • Demonstrated experience applying Responsible AI, security, privacy, and compliance practices in enterprise software systems

Preferred Qualifications:

  • 1+ years of experience developing and deploying agentic AI solutions

  • Experience supporting Finance, FP&A, Accounting, Treasury, Tax, or other enterprise finance functions

  • Familiarity with AI observability, model monitoring, vector databases, semantic search, and knowledge retrieval systems

  • Experience leading enterprise AI products from initial design through production support

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $145,500 - $249,500 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

At UnitedHealth Group, our mission is to help people live healthier lives and help make the health system work better for everyone. Together, we are shaping the future of healthcare by harnessing technology and innovation to make care simpler to navigate, more affordable and more connected for the people we serve. We are committed to creating an inclusive workplace where everyone feels welcomed, valued, heard and respected, empowering people to bring their authentic selves to work and strengthening our collective impact through diverse talents, backgrounds, experiences and perspectives.

UnitedHealth Group and its affiliated brands are an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group and its affiliated brands are a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

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How this job compares

Set against the 550 open AI/ML Engineer jobs on Olive Jobs, counted November 7, 2026.

Pay
  • This posting$146–250K/yr
  • Minnesota median$120–215K/yr31 salary ranges
  • US median$117–208K/yr438 salary ranges

This range's midpoint, $198K, is 18% above the Minnesota median midpoint ($167K) — in the middle half of AI/ML Engineer salary ranges in Minnesota.

Openings
Olive Jobs lists 32 open AI/ML Engineer jobs in Minnesota and 550 across the US. 6% of them nationwide are listed as remote or flexible.
Hiring the most in Minnesota
Experience
This posting asks for at least 5 years of experience; AI/ML Engineer postings that state a minimum ask for 5 years at the median (498 postings).
Education
222 of the 550 open AI/ML Engineer jobs (40%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 7, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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