AI/ML Engineer - Shared Services Automation-Remote

Mayo Clinic • Rochester, MN

22h • Remote

About The Position

The AI/ML Engineer is a hands-on builder of AI-enabled and agentic solutions for Finance Shared Services. This role develops, deploys, and supports ML models, LLM-based components, and agentic automations that extend the program beyond traditional RPA. The engineer works closely with the Solution Architect, Senior AI/ML Engineer, and delivery team to bring AI capabilities into production with the reliability and governance expected of enterprise Finance systems.

Requirements

• 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.

Nice To Haves

• 3+ years of hands-on AI/ML engineering experience, including production deployments.
• Strong proficiency in Python and modern ML/AI libraries.
• Experience with LLM-based solutions (prompting, RAG, tool use, evaluation).
• Working experience with UiPath or comparable automation platforms.
• Experience with Azure, GCP or another major cloud platform for AI workloads.
• Experience with agentic frameworks (LangChain, LangGraph, CrewAI, or similar) and UiPath Maestro.
• Experience in healthcare, Finance, or other regulated environments.
• Azure AI Engineer, AWS ML Specialty, or comparable certifications.

Responsibilities

• Develop and deploy ML models, LLM-enabled components, and agentic automations supporting Finance Shared Services use cases.
• Integrate AI components with UiPath automations using Maestro, AI Center, Document Understanding, and Communications Mining where appropriate.
• Partner with Solution Architects and the Senior AI/ML Engineer on architecture alignment, reuse, and standards.
• Own responsible model lifecycle practices: evaluation, monitoring, drift detection, and retraining.
• Contribute to engineering practice: code review, source control, CI/CD, and testing.
• Support production solutions, triage incidents, and deliver root-cause fixes.
• Stay current on emerging AI capabilities and surface candidate applications for Finance.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees