Solutions Architect Rev Cycle-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 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.

• 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.

The Revenue Cycle Solutions Architect – Automation is a key technical leadership role responsible for designing and delivering innovative, scalable solutions across the Mayo Clinic Revenue Cycle. This position is accountable for the technical oversight of automation, agentic AI, and machine learning initiatives that drive operational efficiency, improve quality, and support strategic transformation.

Reporting directly to Senior Director of Automation, the Solutions Architect ensures that emerging technologies – including RPA, large language models (LLMs), and intelligent process automation – are aligned with enterprise goals and seamlessly integrated into clinical and operational workflows. This role provides a unique opportunity to shape the future of the Revenue Cycle through creative problem-solving, solution design, and enterprise collaboration.

The Solutions Architect will serve as a technical expert and thought leader in intelligent automation, responsible for evaluating technologies, guiding architecture decisions, developing solution roadmaps, and ensuring implementation success. While Epic and UiPath are key technologies in the environment, this role requires a platform-agnostic mindset, leveraging best-in-class tools and approaches to meet the needs of complex business challenges.

• Leading the technical design and architecture of automation and AI/ML solutions within the Revenue Cycle
• Collaborating with clinical, operational, and technical stakeholders to identify and scope high-impact automation opportunities
• Providing expert guidance on enterprise automation platforms (e.g., UiPath) and AI technologies, including LLM integration, intelligent agents, and cognitive services
• Creating and maintaining technical design standards, reusable assets, and governance frameworks for intelligent automation
• Serving as a liaison across internal technical councils and committees to gain institutional approvals
• Mentoring solution developers, analysts, and engineers in architecture best practices and emerging technologies
• Representing Mayo Clinic in internal and external forums to share innovation, advance partnerships, and influence industry direction

Bachelor’s degree and 8 years’ experience including 5 years’ of demonstrated technica l experience and 3 years of demonstrated leadership experience.

Works cross functionally across Mayo Clinic Departments. Demonstrated project and deliverable consistency through repeatable and reliable performance. Demonstrates initiative and self-motivation to complete tasks and assignments on time. Proven evidence of project management skills. Demonstrated oral and written communication, organization, problem solving, and facilitation skills. Evidence of mastery level expertise in multiple technologies. Demonstrated ability in solving complex technical and application problems with multiple technologies.

Experience working in healthcare technology and Epic. Exposure to managing both custom developed and vendor-supplied applications. Masters degree in applicable field preferred. Multiple (three or more) Epic Certifications OR relevant Intelligent Automation/AI certifications required. Healthcare Financial Management Association (HFMA) Certification Preferred. Working knowledge of large language models, AI agents, and/or ML lifecycle management. Proven track…