Advisory Services Analyst, Consultant Development Program - AI/ML Engineering Track - Multiple Locations
About The Position
Optum Insight is hiring an Advisory Services Analyst for the Consultant Development Program (CDP), an early-career program for recent graduates that provides consulting experience with health care clients. Participants receive structured consulting and health care training, mentorship, and opportunities to work across multiple client engagements. The program develops strategic problem solving, data-driven decision making, client relationship management, change management, AI-enabled consulting, and health care industry capabilities. It typically takes 1.5–2.5 years to complete, after which participants align with an Optum Advisory practice. The AI/ML Engineering track combines the consulting foundation with hands-on work building AI/ML solutions, including LLM applications, retrieval-augmented generation (RAG) pipelines, and early agentic AI workflows. Participants work alongside Optum.ai engineering and data science teams and support AI/ML solutions for client and internal use, applying responsible-AI practices and health care data protections. This full-time role is based in Eden Prairie, Minnesota; Nashville, Tennessee; or Washington, DC, and is available starting in 2027. The work follows a hybrid schedule with three days in the office. Travel may be required up to 50%, depending on project needs and location. Relocation is not offered, and visa sponsorship is not available now or in the future.
Requirements
- Bachelor’s degree in computer science, data science, engineering, or a related technical field from an accredited college or university, or equivalent experience. The degree must have been earned within the past 24 months; coursework must be completed before employment starts, and degree completion must be verified within 6–8 weeks of starting.
- At least 1 year of coursework, internship, research, or project experience in machine learning, AI engineering, or applied data science, including contributing to production ML systems.
- At least 1 year of experience using Python for machine learning, AI, or applied data science through coursework, internships, research, or projects.
- At least 1 year of experience building or contributing to Generative AI or LLM applications through coursework, internships, research, or projects, including prompt engineering or LLM API integrations.
- Experience using AI-assisted development tools such as Codex, Claude Code, Cursor, Windsurf, or similar.
- Exposure to retrieval-augmented generation (RAG) systems and vector search pipelines.
- Ability to work in the office on a hybrid schedule, three days per week, in Eden Prairie, MN; Nashville, TN; or Washington, DC, for the duration of the program.
- Ability to travel up to 50%, depending on project needs and location.
- Must be eligible to work in the U.S. without company sponsorship now or in the future. Candidates requiring employment-based sponsorship, including H-1B or TN status, will not be considered; F-1 students whose practical training would require H-1B status are also not eligible.
Nice To Haves
- 3.0 GPA.
- Health care experience or demonstrated interest in health care.
- Experience with LLM orchestration frameworks such as LangChain, LlamaIndex, or Semantic Kernel.
- Experience deploying AI systems on AWS, Azure, or GCP.
- Experience working in regulated environments with responsible-AI governance requirements.
- Demonstrated intellectual curiosity and learning ability.
- Exposure to agentic AI concepts, including tool calling, planning frameworks, or multi-agent workflows.
Responsibilities
- Support strategic business transformation by applying technology, AI, process improvement, and innovation to complex client problems.
- Apply AI tools to client workflows, including research, analysis, reporting, dashboards, and automation, and develop and optimize prompts.
- Participate in client-facing interactions and presentations while developing consulting, relationship-building, project delivery, and change management skills.
- Support project delivery through requirements analysis, presentation development, meeting management, project planning, and project budget support.
- Develop client-facing presentations and provide strategic support to clients implementing organizational enhancements.
- Support the development and refinement of LLM applications for client and internal use, including prompt engineering and API integration with commercial models such as OpenAI, Anthropic/Claude, and Gemini.
- Contribute to RAG pipelines and early agentic AI workflows, including document ingestion, chunking, vector search, tool use, and planning patterns, under senior engineer guidance.
- Assist with testing, evaluation, and monitoring of AI/ML solutions, including output-quality checks, hallucination review, and human-in-the-loop evaluation.
- Apply responsible-AI and health care data considerations, including PHI/PII protection, privacy and regulatory requirements, and governance guardrails.
- Collaborate 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 stakeholders.
- Analyze data using AI-enabled tools and generate insights.
- Collaborate with teams to identify opportunities for AI-driven improvements and ensure responsible, compliant use of AI solutions.
Benefits
- Comprehensive benefits package, subject to eligibility requirements.
- Incentive and recognition programs.
- Equity stock purchase plan.
- 401(k) contribution.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
