The Role
Build and deploy production LLM agents for incident detection, triage, and remediation. Design RAG pipelines, agent orchestration, tool integrations, guardrails, evaluation workflows, and model prompts. Partner with SRE, InfoSec, and platform teams to safely automate operational issues, integrate capabilities into developer workflows, and create reusable AI engineering patterns.
Summary Generated by Built In
Requisition Number: 2389630
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
Primary Responsibilities:
Required Qualifications:
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
Primary Responsibilities:
- Build and deploy production LLM agents that automate detection, triage, and remediation of platform and application issues
- Design and tune RAG pipelines over runbooks, incident history, logs, code, and internal documentation, including chunking strategy, embedding selection, vector store design, hybrid and semantic search, and reranking
- Implement agent orchestration: tool/function calling, multi-step planning, multi-agent handoffs, memory, and state management
- Integrate agents with observability and security platforms (alerting, logging, metrics, vulnerability and incident data) through APIs and MCP-style tool interfaces
- Build the supporting layer agents depend on: tool wrappers, guardrails, human-in-the-loop approval paths, and fallback behavior
- Own model and prompt engineering, including model selection, prompt and context optimization, output structuring, and cost/latency tuning; fine-tune or apply parameter-efficient techniques where warranted
- Build evaluation pipelines and define quality metrics for agent and RAG behavior (retrieval precision and recall, groundedness, hallucination and false-positive rate, escalation rate, MTTR impact) and iterate based on results
- Ship agent capabilities into EVA so developers consume them inside their existing workflow
- Partner with SRE, InfoSec, and platform teams to scope which classes of issues are safe to automate and which require human review
- Contribute reusable patterns, components, and documentation for agent development across the Optum AI DLC
- Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements
Required Qualifications:
- Bachelor's degree in Computer Science, Data Science, Machine Learning, or a related field, or equivalent experience
- 4+ years of software or machine learning engineering experience
- 2+ years hands-on building with LLMs, including prompt engineering, tool/function calling, and agent or multi-step orchestration
- Demonstrated experience designing and shipping RAG systems in production, including embeddings, vector databases (for example Azure AI Search, Pinecone, Milvus, pgvector, or FAISS), and retrieval evaluation
- Experience integrating third-party APIs and building backend services that run in production
- Experience with cloud platforms (Azure, AWS, or GCP), containers, and CI/CD pipelines
- Experience building LLM evaluation and testing workflows rather than relying on manual spot checks
- Proficiency in Python, with working knowledge of agent frameworks (for example LangGraph, LangChain, LlamaIndex, Semantic Kernel, or CrewAI)
- Proven ability to work across teams and translate operational pain points into technical requirements
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
Skills Required
- Bachelor's degree in Computer Science, Data Science, Machine Learning, or a related field, or equivalent experience
- 4+ years of software or machine learning engineering experience
- 2+ years of hands-on experience building with LLMs, including prompt engineering, tool or function calling, and agent or multi-step orchestration
- Production experience designing and shipping RAG systems, including embeddings, vector databases, and retrieval evaluation
- Experience integrating third-party APIs and building production backend services
- Experience with Azure, AWS, or GCP; containers; and CI/CD pipelines
- Experience building LLM evaluation and testing workflows
- Proficiency in Python and working knowledge of agent frameworks such as LangGraph, LangChain, LlamaIndex, Semantic Kernel, or CrewAI
- Ability to work across teams and translate operational pain points into technical requirements
Optum Compensation & Benefits Highlights
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Leave & Time Off Breadth — Paid time off is often regarded as generous, with meaningful accrual and flexibility to use it. While practices can vary by team, the overall time-off offering stands out as a relative strength.
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Retirement Support — A 401(k) plan with employer matching is available and generally well-regarded for supporting long-term savings. It remains valuable, though candidates should verify the current match formula.
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Parental & Family Support — Programs such as parental leave, family medical leave, and adoption assistance are included as notable elements of the total rewards package. These resources can meaningfully support work-life balance when applicable to the role and location.
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The Company
What We Do
Optum, part of the UnitedHealth Group family of businesses, is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.
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Optum Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Optum has three workplace models that balance the needs of the business and the responsibilities of each role. These models, core on‑site (5 days/week), hybrid (4 days/week) and telecommute or fully remote, vary by country, role and location.
Typical time on-site:
Not Specified
