The AI/ML Engineer, a full-stack AI/ML architect for the Revenue Cycle pillar, responsible for both agentic solutions (UiPath Maestro, LLM orchestration, agent + bot + human-in-the-loop patterns) and predictive ML solutions. This role sets the AI architecture direction for Revenue Cycle, defines reference patterns, and collaborates with delivery teams to bring solutions from prototype to production. The ideal candidate is equally comfortable designing an agentic orchestration topology and shipping a production ML model.
Key Responsibilities:
- Architect full-stack AI/ML solutions for Revenue Cycle, spanning agentic orchestration (UiPath Maestro, LLM agents, RPA bots, human-in-the-loop) and predictive ML.
- Define reference architectures, design patterns, and guardrails for AI use in Revenue Cycle, in partnership with enterprise architecture, security, and data governance.
- Lead design of high-complexity solutions such as agentic patient portal inbasket management, combining UiPath Maestro, AI agents, RPA bots, and human-in-the-loop oversight.
- Develop, evaluate, and productionize ML models using Python, modern ML libraries, and Mayo Clinic's approved cloud and data platforms.
- Partner with delivery leads, app analysts, and business analysts to translate Revenue Cycle opportunities into AI-enabled solutions with measurable ROI.
- Establish standards for model lifecycle management, monitoring, bias and drift evaluation, and responsible AI practice aligned to Mayo Clinic policy.
- Evaluate emerging AI capabilities (new LLM models, agentic frameworks, UiPath releases) and guide when and how to adopt them.
- Mentor AI/ML engineers and developers across the program; contribute to enterprise AI community of practice.
