Teams at Carnegie Mellon University

Design, build, deploy, and maintain AI-enabled educational software, including LLM applications, learning tools, simulations, and decision-support systems. Collaborate with faculty and leadership to define feasible solutions, establish technical standards, monitor usage and costs, protect data, and ensure accessibility and reliability. Guide student developers, review code, document systems, conduct workshops, and advise on applied AI capabilities and project planning.

Conduct AI security research focused on AI assurance, red teaming, and digital forensics, response, and mitigation. Evaluate AI systems, develop solutions for mission challenges, participate in project reviews, document findings, and present research results. Collaborate with security experts, engineers, researchers, and cross-functional teams. The internship is full-time and onsite five days per week at the Pittsburgh office.

Provides academic leadership for Carnegie Mellon’s online professional certificate portfolio in machine learning, data science, and generative AI. Oversees portfolio strategy, certificate development, academic governance, faculty and curriculum leadership, admissions, student orientation, university relations, industry partnerships, compliance, and annual reviews of enrollment, outcomes, instructional quality, demand, finances, and curriculum needs.