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Added 4 mins ago
Full Stack Software Engineer
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Added 5 mins ago
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…teams, and security reviewers; agree on deployment approach, integration requirements, responsibilities, and acceptance criteria; and resolve technical disagreements and dependencies with…
Added 14 mins ago
UG
Advisory Services Consultant, Consultant Development Program - AI/ML Engineering Track - Multiple Locations
UnitedHealth Group
Eden Prairie, MN
- $72,800 to $130,000 USD / year
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Added 20 mins ago
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Added 23 mins ago
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Advisory Services Analyst, Consultant Development Program - AI/ML Engineering Track - Multiple Locations
UnitedHealth Group
Eden Prairie, MN
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Added 31 mins ago
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Added 42 mins ago
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Philadelphia, PA · Battle Creek, MI · New Cumberland Defense Logistics Center, PA · Wright-Patterson AFB, OH · Whitehall, OH · Richmond, VA · Hill AFB, UT · Fort Belvoir, VA
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Added 2 hours ago
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Advisory Services Analyst, Consultant Development Program - AI/ML Engineering Track - Multiple Locations
UnitedHealth Group
Eden Prairie, MN
- $60,200 to $107,400 USD / year
…client and internal use cases, including prompt engineering and API integration with commercial models (e.g., OpenAI, Anthropic/Claude,…
Added 2 hours ago
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UnitedHealth Group

Advisory Services Consultant, Consultant Development Program - AI/ML Engineering Track - Multiple Locations

Eden Prairie, MN, United States

$72,800 to $130,000 USD / year

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Job details

Pay: $72,800 to $130,000 USD / year
Posting language: English
Posted: Nov 9, 2026

Original job description

Internships at Optum. If you want an intern experience that will dramatically shape your career, consider a company that’s dramatically shaping our entire health care system. Optum, part of the UnitedHealth Group family of companies, is a leading health services and innovation company dedicated to helping make the health system work better for everyone. With more than 94,000 people collaborating worldwide, Optum combines people, technology, data and action to improve the delivery, quality and efficiency of health care. Our internship opportunities provide a view of a rapidly evolving, incredibly challenging marketplace of ideas, products and services. Here, you’ll work with some of the smartest people in the business on assignments that matter. Join us in making healthcare work better for everyone through people-led, responsible AI while Caring. Connecting. Growing together

Begin your career at UnitedHealth Group and help make health care work better for everyone. Through our Early Careers programs, you'll gain meaningful experience, tackle real business challenges, and contribute to work that impacts millions of lives.

Across UnitedHealthcare and Optum, we're united by a common purpose: improving the health and well-being of the people and communities we serve. You'll work alongside talented colleagues, develop new skills, and be supported by a culture of innovation, inclusion, and continuous learning.

No matter where your journey starts, you'll have the opportunity to grow, make an impact, and help shape the future of health care.

**The full-time position located in Eden Prairie, MN, Nashville, TN or Washington, DC will be available starting in 2027** **UnitedHealth Group is not able to offer visa sponsorship now or in the future for position** **Relocation is not offered for the Consultant Development Program**

The Consultant Development Program (CDP) is an Early Careers program that launches early-careers professionals into real consulting work, solving problems and shaping outcomes for health care clients from day one. CDP sits within Optum Advisory, giving participants the chance to work with a diverse range of health care clients across multiple engagements. As a CDP participant, you'll join a cohort spanning multiple tracks, all united by a shared focus on serving our clients and making the health system work better for everyone. You’ll complete structured consulting and healthcare training, receive mentorship from experienced leaders, and gain experience across multiple client engagements while developing capabilities in strategic problem solving, data-driven decision making, client relationship management, change management, AI-enabled consulting, and healthcare industry expertise. Program completion includes alignment into an Optum Advisory practice and typically takes 1.5–2.5 years to complete. By combining real client delivery, structured learning, mentorship, healthcare industry specialization, and AI-enabled consulting experiences from day one, CDP provides a differentiated foundation for a long-term consulting career. The AI/ML Engineering track pairs this core consulting foundation with hands-on exposure to building the AI/ML solutions - LLM applications, retrieval-augmented generation (RAG) pipelines, and early agentic AI workflows - that increasingly power client engagements, working alongside Optum.ai engineering and data science teams.

Primary Responsibilities:

Working directly with our internal and external clients to solve complex business problems by performing the following types of activities:
Enable strategic business transformation through the application of technology, AI, process improvement and innovation to our client’s most complex problems
Apply and integrate AI tools into client workflows - research, analysis, reporting, dashboards, and automation - building and optimizing prompts along the way
Lead selected client-facing interactions and presentations, communicate technical recommendations and trade-offs, and build client relationships during project delivery
Own defined AI/ML workstreams, including requirements analysis, solution development, evaluation, and communication of results
Develop and fine-tune LLM-based applications for client and internal use cases, including prompt engineering and API integration with commercial and open-source models (e.g., OpenAI, Anthropic/Claude, Gemini)
Design and implement retrieval-augmented generation (RAG) pipelines and agentic AI workflows - including document ingestion, chunking, embeddings, vector search, tool-use, reasoning, and planning patterns - for defined client use cases
Test, evaluate, and refine AI/ML solutions for accuracy, safety, and performance, including hallucination detection, bias monitoring, and human-in-the-loop evaluation
Prepare solutions for production by applying testing, CI/CD, and monitoring practices, and support a clear transition to Optum or client production engineering teams
Apply responsible-AI and healthcare data considerations (PHI/PII protection, privacy and regulatory requirements, governance guardrails) throughout AI/ML solution development
Partner with Optum.ai engineering, data science, and product teams to translate client business requirements into technical AI/ML solution components, and communicate progress, risks, and trade-offs to client and internal stakeholders
Optum Advisory provides consulting support to a wide range of health care clients. Some example projects might include:
Building a go-to-market strategy and business case to bring a new product or service to market by providing an opportunity analysis derived through complex data navigation
Designing an AI adoption roadmap to help a health system responsibly scale AI-enabled clinical and administrative tools across the organization
Designing and building a RAG-based knowledge assistant for a health system’s clinical documentation workflows, from data ingestion through evaluation
Fine-tuning and integrating an LLM-powered prior authorization assistant for a payer client, including prompt design and evaluation against real case outcomes
Designing an agentic workflow that automates intake and triage for a provider’s call center, including tool-use, planning, escalation logic, and human-in-the-loop controls

What You’ll Do:

Apply AI tools to solve business problems within your domain
Build and optimize prompts for analysis, reporting, and automation
Integrate AI into workflows (e.g., reporting, dashboards, operations processes)
Analyze data using AI-enabled tools and generate insights
Collaborate with teams to identify opportunities for AI-driven improvements
Ensure responsible and compliant use of AI solutions

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:

2+ years of experience through graduate research, internships, fellowships, postdoctoral work, or professional roles in ML, AI engineering, or applied data science
2+ years of experience developing Python-based ML/AI solutions
1+ years of experience building Generative AI or LLM applications
Experience taking an ML/AI project from problem definition through development and evaluation
Experience using AI-assisted development (“vibe coding”) tools such as Codex, Claude Code, Cursor, or similar
Ability to work in office on a hybrid schedule (3 days in office) in one of our 3 locations (Eden Prairie, MN, Nashville, TN or Washington D.C.) for the duration of the program
Ability to Travel up to 50% for the Consultant Development Program, dependent on project needs and location
Must be eligible to work in the U.S. without company sponsorship, now or in the future, for employment-based work authorization (F-1 students with practical training and candidates requiring H-1Bs, TNs, etc. will not be considered) F-1 visa holders with Optional Practical Training (OPT) who will require H-1B status, TNs, or current H-1B visa holders will not be considered. H1-B and green card sponsorship is not available for this position

Preferred Qualifications:

3.0 GPA
1+ year of experience with RAG, vector search, or similar retrieval-based AI approaches
Healthcare Experience
Experience with LLM orchestration frameworks such as LangChain, LlamaIndex, or Semantic Kernel
Experience building or contributing to agentic AI systems, including tool-calling, planning frameworks, or multi-agent workflows
Experience optimizing LLM latency, cost, and performance in production environments
Experience deploying AI systems on cloud platforms such as AWS, Azure, or GCP
Experience working in regulated environments with responsible AI governance requirements
Proven intellectual Curiosity

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 $72,800 - $130,000 annually based on full-time employment. We comply with all minimum wage laws as applicable.

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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More about this job

Skills

ML
Problem solving
Decision making
Change management
Presentation skills
Communication skills
CI/CD
Documentation
Workflow
Reporting
Research
Python
LangChain
AWS
Microsoft Azure
Google Cloud

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