Senior Agentic AI Engineer

Optum; Eden Prairie (MN); Remote; USD 120,000 - 215,000; Full time

Benefits offered by this job

Comprehensive benefits package

Equity stock purchase

401k contribution

Incentive and recognition programs

Job summary

Optum is seeking an experienced engineer to design agentic AI solutions for healthcare, blending end-to-end delivery with production-grade engineering. You will work across LLMs, ML models, and APIs, delivering production-ready AI applications and intelligent automation.

You will lead client engagements, evaluate trade-offs, and collaborate with product and engineering teams to scale reusable capabilities in client deployments. Remote US-based role with strong security, scalability, and impact.

Qualifications

• Bachelor’s degree in CS/Engineering/Data Science or related field.
• 5+ years hands-on software engineering deploying distributed systems and cloud-native solutions.
• 5+ years Python development experience (or equivalent).
• Experience building AI/ML solutions, including LLMs, prompt engineering, and deployment patterns.
• Experience with infrastructure as code in Azure.
• Proficiency with APIs and data integration approaches.
• Proven ability to lead client engagements and manage stakeholders across groups.

Responsibilities

• Design agentic solutions aligned to healthcare requirements with security and compliance.
• Architect end-to-end systems integrating LLMs, ML models, APIs, and enterprise platforms.
• Evaluate trade-offs and communicate recommendations to stakeholders.
• Deliver production-ready AI applications including LLM workflows and automation.
• Integrate AI agents into client environments to optimize performance and reliability.
• Prototype quickly, iterate with client feedback, accelerate time-to-value.
• Troubleshoot complex issues across distributed systems and cloud platforms.
• Build evaluation datasets, scoring rubrics, agent tests, and failure analyses.
• Bridge business, clinical, and technical perspectives; ensure clarity across groups.
• Collaborate to bring reusable capabilities into client deployments and production threading.

Skills

Python

Distributed systems

Cloud-native

AI/ML solutions

APIs

Leadership

Stakeholder management

Education

Bachelor’s degree in Computer Science, Engineering, Data Science, or related field

Tools

Azure

React

NextJS

Adobe Experience Platform

Infrastructure as Code

APIs

Job description

At Optum, you’ll help build scalable, secure, and compliant agentic AI solutions that support healthcare consumer experiences. This role combines end-to-end delivery with production-grade engineering, including LLM and automation workflows, evaluation and testing, and cross-functional collaboration. If you like turning ambiguous requirements into reliable systems that can ship, this is a strong fit.

What you’ll do

• Design agentic solutions aligned to healthcare industry requirements, with security and compliance built in
• Architect end-to-end systems integrating LLMs, machine learning models, APIs, and enterprise platforms
• Evaluate trade-offs (for example: build vs. orchestrate, model selection, and latency vs. accuracy) and communicate recommendations to stakeholders
• Deliver production-ready AI applications, including LLM-based workflows, copilots, and intelligent automation
• Integrate AI agents and automation into client environments to optimize for performance, scalability, and reliability
• Prototype quickly to validate concepts, iterate with client feedback, and accelerate time-to-value
• Troubleshoot complex issues across distributed systems and cloud platforms
• Build and maintain evaluation datasets, scoring rubrics, agent-performance tests, and failure-mode analysis tools
• Bridge business, clinical, and technical perspectives to ensure alignment and clarity across groups
• Collaborate with product, platform, and engineering teams to bring reusable capabilities into client deployments
• Communicate complex technical concepts in an actionable way for non-technical stakeholders
• Drive end-to-end client solutions from discovery through production deployment, translating ambiguous needs into scalable, high-impact outcomes
• Build trusted advisor relationships with client stakeholders and contribute repeatable consulting and engineering patterns across engagements
• Design prototypes with a clear path to production, including supportability and transition to production engineering teams

Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a 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 equivalent)
• 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 using 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 influence across technical and executive audiences

Technologies you may use

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)

Remote work

Remote work from anywhere within the U.S. For hires in the Minneapolis or Washington, D.C. area, required to work in the office a minimum of four days per week. All employees working remotely must adhere to UnitedHealth Group’s Telecommuter Policy.

Compensation

Salary for this role ranges from $120,100 to $214,500 annually, based on full-time employment and factors including local labor markets, education, work experience, and certifications.

Additional details

This posting will be live for a minimum of 2 business days or until a sufficient candidate pool has been collected. It may come down early due to applicant volume.