AI/ML Engineer - Revenue Cycle Automation-Remote

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.

A master’s degree in engineering, computer science, mathematics, health science, or a related field and 1 year experience,

OR

A bachelor’s degree with 3 years of experience.

• Experience applying AI and machine learning in production environments or similar highly regulated or technology focused industries, showcasing an understanding of healthcare technology.
• Skill in cloud infrastructure environment and software development tools.
• Experience working with large, complex, and heterogeneous data sets, preferably in healthcare.
• Skill in AI/ML techniques and frameworks.
• History of collaborating across diverse teams and effectively communicating complex technical concepts to non-technical stakeholders.
• Familiarity with best practices in data engineering, data science, AI Engineering, and the MLOps communities.
• Strong interpersonal, communication, and time management skills.
Preferred Qualifications:

• Professional experience in AI/ML engineering, solution architecture, or a combined architect/engineer role.
• Proven experience designing and delivering agentic or LLM-enabled solutions in production environments.
• Proven experience building and deploying predictive ML models end-to-end, including feature engineering, evaluation, and monitoring.
• Strong proficiency in Python and modern ML/AI libraries (scikit-learn, PyTorch or TensorFlow, LangChain, LangGraph or equivalent).
• Working experience with UiPath (Studio, Orchestrator, Maestro, Document Understanding, AI Center) or Google Cloud Platform
• Hands-on experience with Azure (preferred) or other major cloud platforms for AI workloads, including MLOps tooling.
• Experience defining reference architectures, design patterns, and technical standards at enterprise scale.

*This position is a 100% remote work. Individual may live anywhere in the US.
**This vacancy is not eligible for sponsorship / we will not sponsor or transfer visas for this position.