The JM Family College Internship Program is designed to create an opportunity for college students to have meaningful work experiences that tie to their programs of study.
As part of this program, you will actively contribute to your team’s success, learn about JM Family’s companies and culture while obtaining new skills through learning opportunities, networking events and much more.
The ideal candidate will be available to work full-time during the Summer Internship Program ( May 24th, 2027 - July 30th, 2027 ).
Interns will engage in meaningful work and gain insights into specific projects or tasks, providing hands-on experience, and contributing to various department initiatives. They will learn about JM Family’s culture including our core values: Consideration, Cooperation, Communication, Innovation and Accountability. These core values are part of our keys to success and the skills that embody these values are what drive our success as an organization.
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.
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:
This is a full-time position with flexible working arrangements depending on the business need.
The ideal candidate will be 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, with experience, coursework, or personal experimentation in languages such as Python, JavaScript, TypeScript, or PowerShell 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…