Senior Agentic AI Engineer

Optum is seeking a Senior Agentic AI Engineer to help design scalable, secure, and compliant agentic solutions for healthcare consumer experiences. In this role, you will lead end-to-end delivery of production-grade AI applications, from system architecture and LLM integration to evaluation, deployment, and cross-functional collaboration.

Role and responsibilities

• Design agentic solutions that align with healthcare industry requirements for security and compliance
• Architect end-to-end systems integrating LLMs, machine learning models, APIs, and enterprise platforms
• Evaluate trade-offs such as build versus orchestrate, model selection, and latency versus accuracy, then communicate recommendations to stakeholders
• Build solutions designed for real-world deployment, maintainability, and integration into existing client ecosystems
• Build and deploy production-grade AI applications, including LLM-based workflows, copilots, and intelligent automation solutions
• Integrate AI agents and automation into client environments, optimizing for performance, scalability, and reliability
• Rapidly prototype to validate concepts, iterate with client feedback, and accelerate time-to-value
• Troubleshoot complex technical challenges across distributed systems and cloud platforms
• Build and maintain evaluation datasets, scoring rubrics, agent-performance tests, and failure-mode analysis tools
• Translate between business, clinical, and technical perspectives to maintain alignment and clarity
• Collaborate with product, platform, and engineering teams to deliver reusable capabilities into client deployments
• Communicate complex technical concepts in an accessible, actionable way for non-technical stakeholders
• Deliver end-to-end client solutions from discovery through production deployment
• Translate ambiguous client needs into scalable, high-impact solutions
• Build trusted-advisor relationships with client stakeholders
• Drive measurable business outcomes for healthcare clients
• Contribute repeatable consulting and engineering patterns that scale across engagements
• Design and develop prototypes with a clear path to production, ensuring scalability and supportability and a smooth transition to production engineering teams

Requirements

• Bachelor's degree in Computer Science, Engineering, Data Science, or related field
• 5+ years of hands-on software engineering experience deploying distributed systems and cloud-native solutions
• 5+ years of engineering experience with strong proficiency in Python or an equivalent programming language
• Experience building and deploying AI/ML solutions, including familiarity with LLMs, prompt engineering, and model deployment patterns
• Experience structuring ambiguous problems into clear, actionable solutions
• Experience with infrastructure as code in cloud environments, especially Azure
• Proficiency with modern development frameworks, APIs, and data integration approaches
• Advanced knowledge and experience with AI-DLC
• Proven ability to lead client engagements across discovery, solution design, and delivery
• Proven stakeholder management skills, with the ability to influence technical and executive audiences

Technologies

• Python, LLMs, machine learning models, APIs, AI/ML, prompt engineering
• Infrastructure as code, Azure, React, NextJS, Adobe Experience Platform

Benefits

• Comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution (subject to eligibility requirements)

Location and remote work

This role is based in Eden Prairie, MN (remote). Remote work is available from anywhere within the U.S. For hires in the Minneapolis or Washington, D.C. area, the role requires working in the office a minimum of four days per week. All employees working remotely must adhere to UnitedHealth Group's Telecommuter Policy.

Compensation and application details

• Salary range: USD 120,100 - 214,500 per year (based on full-time employment)
• Application window: posted for a minimum of 2 business days or until a sufficient candidate pool has been collected

Preferred qualifications

• Master's degree in a technical discipline (AI/ML, Data Science, Software Engineering)
• Experience with front-end development frameworks such as React and NextJS
• Experience implementing or working with enterprise Marketing Technology solutions such as Adobe Experience Platform
• Familiarity with healthcare data, regulatory requirements, and interoperability considerations
• Comfort operating in fast-paced, ambiguous environments with evolving requirements
• Excellent communication and storytelling skills, with the ability to adapt messaging to different audiences