Associate AI/ML Engineer
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Key details
What makes this role novel
Agentic AI development—designing autonomous multi-agent systems with planning, reasoning, and tool invocation—is a distinct engineering discipline that emerged only in the last 2–3 years as LLMs matured enough to support reliable agent orchestration and reasoning loops.
Job Description
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.
We are seeking an Agentic AI Developer to join our AI Engineering team and drive the design, development, and deployment of next-generation AI solutions for MarTech usecases. The role requires hands-on expertise in Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), prompt engineering, orchestration frameworks, and modern cloud-native application development.
Primary Responsibilities:
- Agentic AI Development
- Design and implement autonomous and multi-agent systems capable of planning, reasoning, tool invocation, and workflow execution
- Build agent workflows using agent orchestration frameworks
- Develop reusable agent components, skills, tools, and enterprise integrations
- Enable human-in-the-loop controls and agent governance mechanisms
- LLM & Generative AI Engineering
- Evaluate, select, and integrate appropriate Large Language Models (LLMs) for business use cases
- Design robust prompt engineering and prompt management strategies
- Optimize model performance, latency, cost, and response quality
- Implement model evaluation and monitoring frameworks
- Retrieval-Augmented Generation (RAG)
- Design and implement enterprise-scale RAG solutions
- Build document ingestion, chunking, embedding, retrieval, and ranking pipelines
- Manage vector databases and knowledge repositories
- Improve factual accuracy and reduce AI hallucinations through grounded retrieval strategies
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications:
- Full Stack Developer experience
- Java, React, Next JS, Python, REST API's, SQL, Azure Cloud Platform, AKS (Azure Kubernetes Service), Azure Cosmos DB, Azure Blob Storage experience
- Agentic AI, LLM's experience
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.
Audit details(provenance, verification trail, raw fields)
Core fields
unitedhealth:100146256160Provenance
careers.unitedhealthgroup.comVerification trail
- unknown2026-09-09 13:03:03Zvia talentbrew
evidence
{ "ats": "talentbrew", "reason": "ats_unsupported" }
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