You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities:- Lead the vision, architecture, and execution of the Prior Authorization AI/ML roadmap
- Define and drive AI-native operating models across the authorization
- Partner with business, clinical, operations, product, and technology leaders to identify high-value AI opportunities
- Develop strategic investment plans, technical roadmaps, and delivery priorities aligned to business objective
- Serve as the organization's senior technical authority for AI, Machine Learning, Generative AI, Agentic AI, and intelligent automation
- Design and build scalable AI platforms and reusable services
- Lead technical design reviews and ensure engineering excellence
- Be actively involved in the design, development, and production deployment of AI solutions
- Lead rapid experimentation, proof of concepts, pilots, and production releases
- Own end-to-end delivery accountability from ideation through production support
- Define standards for model governance, explainability, auditability, and transparency
- Establish monitoring frameworks to evaluate accuracy, drift, bias, safety, and compliance
- Ensure alignment with healthcare regulatory requirements and organizational AI governance policies
- Create repeatable frameworks for safe deployment and operationalization of AI solutions
- Mentor technical leaders and foster an AI-first engineering culture
- Establish best practices around experimentation, model development, deployment, and continuous learning
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:- Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, or related discipline
- 12+ years of software engineering experience
- 7+ years leading AI/ML engineering teams
- 5+ years delivering enterprise-scale AI solutions in production
- Experience designing, building, and deploying solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI frameworks in production environments
- Demonstrated expertise in AI platform architecture and engineering on cloud platforms such as Microsoft Azure and/or Amazon Web Services (AWS)
- Proven ability to translate complex business challenges into technical solutions
Preferred Qualifications:- Healthcare, PBM, Utilization Management, Prior Authorization, or Clinical Operations experience
- Experience building decision-support platforms in regulated environments
- Knowledge of healthcare interoperability standards
*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $176,700 - $302,900 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
