Sr. AI/ML Engineer - Shared Services Automation-Remote

Job Description

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 the program beyond traditional RPA. The Senior AI/ML Engineer mentors AI/ML Engineers, partners tightly with the Solution Architect, and represents the pillar in cross-program AI practice forums. Key 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.

Qualifications

A master's degree in engineering, computer science, mathematics, health science, or a related field with 4 years of experience OR A bachelor's degree with 6 years of experience Extensive experience applying AI and machine learning in production healthcare environments or similar highly regulated or technology focused industries, showcasing an understanding of healthcare technology. Demonstrated leadership in managing complex projects, with a proven ability to navigate intricate project requirements and deliver successful outcomes. Proficiency in fostering collaboration across diverse teams and effectively 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 the MLOps communities. Demonstrated initiative in administration, education, software development, and technical reporting. A commitment to mentoring and training less-experienced team members, coupled with strong interpersonal, communication, and time management skills. Preferred Qualifications:

• Strong proficiency in Python and modern ML/AI libraries (PyTorch or TensorFlow, LangChain or LangGraph, scikit-learn).
• Experience with UiPath Maestro, AI Center, Document Understanding, Communications Mining, or comparable automation AI tooling.
• Experience with Azure, Google Cloud Platform or another major cloud platform for AI workloads, including MLOps tooling.
• Experience mentoring engineers and shaping technical practice.
• Relevant AI certifications (Azure AI Engineer, AWS ML Specialty, etc.).
• 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.

About Us

Why Mayo Clinic Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

Benefits

Highlights

• Medical: Multiple plan options.
• Dental: Delta Dental or reimbursement account for flexible coverage.
• Vision: Affordable plan with national network.
• Pre-Tax Savings: HSA and FSAs for eligible expenses.
• Retirement: Competitive retirement package to secure your future.

About the Team Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. Equal Opportunity All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization. Apply tot his job Apply To this Job