AI/ML Engineer - Shared Services Automation-Remote

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 andcomprehensive 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.

Responsibilities

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.

Key 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.

Qualifications

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:

• 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.

*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.

Exemption Status

Exempt

Compensation Detail

$116,043 - $142,147 / year;

Benefits Eligible

Yes

Schedule

Full Time

Hours/Pay Period

80

Schedule Details

Standard Days M-F

Weekend Schedule

As Needed

International Assignment

No

Site Description

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 inE-Verifyand 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.

Recruiter

Ronnie Bartz