IT Intern

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.

City Rochester

State MN

Remote NO

Department Information Technology

• 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.

Mayo Clinic is expanding enterprise AI capabilities that support how employees collaborate, create, develop, and work across the organization. The Collaboration Tools team within Infrastructure helps operationalize and support enterprise platforms and AI‑assisted workplace technologies, including capabilities such as Claude, ChatGPT, Microsoft Copilot, Git Hub Copilot, and other approved AI tools and integrations.

The AI Collaboration Tools & Operational Engineering Intern will work alongside infrastructure and collaboration technology engineers to help operate, test, document, and improve these services in a large enterprise environment.

This is a 90‑day learning-focused internship designed for students interested in infrastructure, cloud technologies, enterprise platforms, automation, AI, or operational engineering. Professional engineering experience is not required.

Working with the Collaboration Tools team, you may:

• Assist with the operational engineering and support of enterprise AI and collaboration technologies.
• Help test and validate new AI platform capabilities, configurations, integrations, connectors, and feature releases before broader use.
• Evaluate how tools such as Claude, ChatGPT, Microsoft Copilot, Git Hub Copilot, and other approved AI services interact with enterprise collaboration and technology environments.
• Assist engineers with configuration validation, troubleshooting, testing, and operational readiness activities.
• Help develop repeatable test plans, validation procedures, operational runbooks, and support documentation.
• Assist with investigating incidents, user-reported issues, integration failures, and unexpected platform behavior.
• Help organize and analyze service usage, operational metrics, support trends, and feedback.
• Participate in release and change-management activities for enterprise AI capabilities.
• Explore opportunities to use scripting, automation, and AI assistance to improve repetitive operational engineering tasks.
• Help validate authentication, permissions, connectors, integrations, and service configurations in controlled environments.
• Assist with documenting service dependencies, configurations, known issues, escalation paths, and operational procedures.
• Work with Infrastructure and other Mayo Clinic technology teams to understand how enterprise services are operated at scale.

• Basic understanding of computers, networks, cloud services, or enterprise technology.
• Introductory programming or scripting experience with Python, Power Shell, Bash, JavaScript, or similar technologies.
• Basic familiarity with Git and Git Hub.
• Interest in AI technologies such as Claude, ChatGPT, Microsoft Copilot, and Git Hub Copilot.
• Basic understanding of APIs, authentication, permissions, or system integrations is helpful.
• Interest in infrastructure, cloud engineering, platform engineering, site reliability, automation, or IT operations.
• Ability to systematically test technology and document results.
• Strong troubleshooting and problem-solving skills.
• Ability to write clear technical documentation.
• Ability to collaborate with engineers and other technology teams.

• Enterprise infrastructure and collaboration platforms.
• Operational engineering and service management.
• Enterprise AI platforms and integrations.
• APIs, connectors,…