AI Center of Excellence (COE) Delivery Team Intern

JM Family • Deerfield Beach, FL

6d

About The Position

The JM Family College Internship Program provides college students with meaningful work experiences related to their fields of study. Interns contribute to their teams, learn about JM Family’s companies and culture, and build skills through learning opportunities and networking events. This internship runs from May 24, 2027, through July 30, 2027, and is intended to be full-time during the Summer Internship Program.

As an AI Center of Excellence (COE) Delivery Team Intern, you will work across artificial intelligence, agentic software development, cloud engineering, automation, and cybersecurity. You will gain practical experience with emerging AI technologies and AI-assisted engineering while helping the team research, prototype, evaluate, and develop solutions that support enterprise AI adoption and continued innovation. The internship also offers exposure to JM Family’s core values: Consideration, Cooperation, Communication, Innovation, and Accountability.

The position is full-time, with flexible working arrangements depending on business needs. Work arrangements may be revised based on associate performance, business need, and manager discretion. The job description may be amended and may not include every assigned duty or responsibility.

Requirements

• Be actively enrolled in a bachelor’s, master’s, or other degree-seeking program at an accredited college or university, in a relevant or related field.
• Have completed at least one semester of coursework.
• Pursue a computer science-related field, such as Computer Science, Software Engineering, Artificial Intelligence, Data Science, Cybersecurity, Information Technology, or a related discipline.
• Have a basic understanding of programming and software development concepts.
• Demonstrate curiosity about emerging technologies, hands-on experimentation, and collaborative problem-solving.
• Be available to work full-time during the Summer Internship Program, May 24, 2027, through July 30, 2027.

Nice To Haves

• AI or machine learning coursework.
• Experience, coursework, or personal experimentation with programming languages such as Python, JavaScript, TypeScript, or PowerShell.
• 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; experience with every listed technology is not expected.
• Experience with personal technology projects, hackathons, coding competitions, rapid prototyping, automation, or open-source contributions.

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 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.
• Evaluate AI models and agents through experimentation, benchmarking, testing, and proof-of-concept development, considering 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 to support the AI COE’s research and development priorities.
• Assist with planning and executing 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 in collaboration with the AI COE and DevSecOps teams.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed