Senior AI/ML Engineer - Shared Services Automation - Remote

5d5 days ago

Mayo Clinic

Rochester, US · Full-time · $160,000 – $220,000

About this role

The Senior AI/ML Engineer is a hands-on builder who owns the highest-complexity agentic and LLM-enabled work in the Finance Shared Services pillar. This role designs and implements multi-agent systems, intelligent document processing at scale, and advanced predictive or generative solutions that extend beyond traditional RPA.

Lead design and implementation of high-complexity agentic and LLM-enabled solutions, including UiPath Maestro-based orchestration and multi-agent systems. Build and deploy advanced ML, LLM, and agentic components end-to-end with production-grade reliability and observability. Define evaluation, monitoring, and responsible AI practices aligned to Mayo Clinic standards.

Partner tightly with the Solution Architect on architecture, reuse, and standards, and with delivery teams on implementation. Mentor AI/ML Engineers across the pillar and support their growth. Represent Finance Shared Services in cross-pillar AI practice forums and share patterns with Revenue Cycle and IA Enablement.

Evaluate emerging AI capabilities and drive adoption decisions for the pillar. Work in a top-ranked healthcare organization dedicated to putting patient needs first. Join a collaborative environment fostering innovation in AI for shared services automation.

Requirements

Extensive experience applying AI and machine learning in production healthcare environments or similar highly regulated industries
Demonstrated leadership in managing complex projects, navigating intricate requirements and delivering successful outcomes
Proficiency in fostering collaboration across diverse teams and communicating complex technical concepts to non-technical stakeholders
Demonstrated expertise in cloud infrastructure environment and software development tools
Experience working with large, complex, and heterogeneous data sets, preferably in healthcare
Skilled in AI/ML techniques and frameworks
Familiarity with best practices in data engineering, data science, AI Engineering, and MLOps
Demonstrated initiative in administration, education, software development, and technical reporting

Responsibilities

Lead design and implementation of high-complexity agentic and LLM-enabled solutions, including UiPath Maestro-based orchestration and multi-agent systems
Build and deploy advanced ML, LLM, and agentic components end-to-end, with production-grade reliability and observability
Define evaluation, monitoring, and responsible AI practices for pillar solutions, aligned to Mayo Clinic standards
Partner with the Solution Architect on architecture, reuse, and standards, and with delivery teams on implementation
Mentor AI/ML Engineers across the pillar and support their growth
Represent Finance Shared Services in cross-pillar AI practice forums; share patterns with Revenue Cycle and IA Enablement
Evaluate emerging AI capabilities and drive adoption decisions for the pillar

Benefits

100% remote work; individual may live anywhere in the US
Top-ranked in more specialties than any other care provider according to U.S. News & World Report