Summer Intern (Agentic AI & Operations)

Position Overview: The Wright Center for Community Health and Graduate Medical Education is seeking an innovative and tech-forward Summer Intern to join our team. In addition to supporting general business operations and senior leadership, this role will specifically focus on identifying and developing Agentic AI solutions. You will serve as a bridge between technology and departmental workflows, working with internal teams to build autonomous agents that streamline operations and enhance workplace performance.

What You Will Do: In this role, you will report to Internship Project Managers while collaborating closely with various departments. You will focus on high-impact projects that leverage AI to modernize traditional processes.

Key Responsibilities:

• Workflow Auditing & Opportunity Mapping: Partner with internal departments (e.g., HR, Finance, Clinical Operations) to analyze current workflows and identify repetitive or complex bottlenecks suitable for Agentic AI intervention.
• Agentic AI Development: Assist in designing and prototyping AI agents—autonomous systems capable of planning, using tools, and making contextual decisions—to automate end-to-end workflows rather than just single tasks.
• Inter-departmental Collaboration: Conduct discovery sessions with staff to understand "Human-in-the-Loop" requirements, ensuring AI solutions are built to support and empower employees rather than replace the need for human judgment.
• Testing & Implementation: Build and test agentic workflows using common frameworks, ensuring agents remain grounded, follow security protocols, and provide accurate outputs.
• Performance Monitoring: Track the impact of deployed AI solutions on cycle times, error rates, and employee satisfaction, reporting findings to senior leadership.
• Administrative & Project Support: Fulfill standard tasks assigned by supervisors, perform clerical duties, and complete a final capstone project summarizing your AI developments.

Education: Currently enrolled in a college degree program (Computer Science, Business Analytics, Data Science, or related field preferred).

• Technical Familiarity: Understanding of Large Language Models (LLMs) and interest in AI agent frameworks (e.g., LangChain, CrewAI, or AutoGen).
• Soft Skills: Strong verbal and written communication; ability to explain technical concepts to non-technical staff.
• Problem Solving: Superior attention to detail and a "solution-oriented" mindset.
• Initiative: Self-motivated and eager to explore the frontier of autonomous AI.