AI Center of Excellence (COE) Delivery Team Intern

About the Role

The JM Family College Internship Program offers meaningful work experiences tied to students' programs of study. Interns will actively contribute to their team's success, learn about JM Family's companies and culture, and gain new skills through learning opportunities and networking events. The ideal candidate will be available to work full-time during the Summer Internship Program (May 24th, 2027 - July 30th, 2027).

As an AI Center of Excellence (COE) Delivery Team Intern, you will work at the intersection of artificial intelligence, agentic software development, cloud engineering, automation, and cybersecurity. You will gain hands-on experience with emerging AI technologies and AI-assisted engineering practices while helping the team research, prototype, evaluate, and develop solutions that support continued innovation and enterprise AI adoption.

Key Responsibilities

• Develop, test, and prototype AI-powered applications, copilots, agents, and automation solutions using technologies such as Anthropic Claude, Claude Code, Microsoft Copilot, Microsoft Copilot Studio, Microsoft Foundry, GitHub Copilot, and OpenAI Codex.
• Perform computer programming and AI engineering activities, including experimenting with agentic workflows, AI coding agents, development harnesses, Model Context Protocol (MCP), reusable agent skills, and AI-assisted software development.
• Conduct AI model and agent evaluations through hands-on experimentation, benchmarking, testing, and proof-of-concept development, with attention to accuracy, reliability, security, and responsible AI practices.
• Support DevSecOps and cloud engineering initiatives, including CI/CD pipelines, Infrastructure as Code, containerization, automated testing, security scanning, and Azure-hosted development environments.
• Research emerging AI technologies, security considerations, engineering approaches, and development tools, helping the AI COE keep pace with the rapidly evolving AI landscape and advance research and development priorities.
• Assist with the planning and execution of an intern-focused AI hackathon and support technical workshops, demonstrations, innovation events, and collaborative learning opportunities.
• Document technical findings, AI use cases, architectural patterns, model evaluations, project progress, lessons learned, and recommended development practices while collaborating with the AI COE and DevSecOps teams.

Qualifications

• Actively enrolled in a bachelor’s, master’s, or other degree-seeking program at an accredited college or university, with a focus in a relevant field. Candidates in related fields will also be considered.
• Must have completed at least one semester of coursework.
• Pursuing a computer science-related field of study, such as Computer Science, Software Engineering, Artificial Intelligence, Data Science, Cybersecurity, Information Technology, or a related discipline.
• AI or machine learning coursework is preferred.
• Basic understanding of programming and software development concepts.
• Experience, coursework, or personal experimentation in languages such as Python, JavaScript, TypeScript, or PowerShell is considered a plus.
• Experience or exposure to generative AI, AI agents, cloud technologies, GitHub, CI/CD, Docker, Kubernetes, Azure, Infrastructure as Code, secure software development, or AI-assisted development tools is a plus. Candidates are not expected to have experience with every technology listed.
• Demonstrated curiosity about emerging technologies, hands-on experimentation, and collaborative problem-solving.
• Experience with personal technology projects, hackathons, coding competitions, rapid prototyping, automation, or open-source contributions is a plus.