AI COEDevSevOps Intern

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 teams success learn about JM Familys 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 26th 2026 - July 31st 2026).

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 Familys 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.

This internship is a full-time paid position during the Summer Program. Youll work directly with our AI Center of Excellence (AI COE) and DevSecOps teams to support initiatives that enable responsible secure and scalable adoption of AI technologies and cloud automation practices.

Responsibilities:

• Support the AI COE in building testing and deploying AI agents and copilots using M365 Copilot Studio Azure AI Foundry and Power Platform AI capabilities.

• Assist in developing and automating data and model workflows using tools such as Azure Machine Learning Databricks and Azure OpenAI Service.

• Collaborate with engineers to design and enhance CI/CD pipelines in GitHub Enterprise and Azure DevOps integrating testing compliance and security automation.

• Work on Infrastructure as Code (IaC) using Terraform and Bicep contributing to secure and repeatable environment provisioning.

• Help integrate DevSecOps practices embedding vulnerability scanning code quality checks and security validation into build and deployment workflows.

• Participate in AI use case evaluations including proof-of-concept development model performance analysis and documentation of governance artifacts.

• Support AI governance and Responsible AI frameworks including bias testing documentation of model lineage and deployment guardrails.

• Assist in monitoring and optimizing cloud workloads resource utilization and system performance metrics within Azure Monitor and Application Insights.

• Contribute to cross-functional projects involving data automation and application modernization in collaboration with IT and business teams.

• Assist with the planning logistics and execution of an intern-focused hackathon including designing challenges testing AI tools and supporting participant teams.

• Document technical processes architecture diagrams and solution design patterns for knowledge sharing within the COE.

Qualifications:

• Actively enrolled in a Bachelors or Masters degree program in Computer Science Information Technology Data Science Cybersecurity or related disciplines.

• Completed at least one semester of coursework.

• Familiarity or coursework in:

• Cloud platforms (preferably Microsoft Azure)

• Version control and automation (GitHub Azure DevOps CI/CD)

• Infrastructure as Code (Terraform Bicep or ARM templates)

• Scripting/programming languages: Python PowerShell JavaScript/TypeScript

• AI/ML concepts or tools (Azure AI Databricks Power BI Copilot Studio)

• Security fundamentals related to cloud or DevSecOps

• Familiarity with hackathons and rapid prototyping environments; prior participation is encouraged and winning a hackathon is a plus.

• Strong problem-solving collaboration and analytical skills.

• Curious self-motivated learner with a passion for emerging technology automation and AI innovation.

Why Join JM Family

Youll be part of a culture grounded in Consideration Cooperation Communication Innovation and Accountability. This internship provides the unique opportunity to contribute to real AI and automation projects assist with innovation events like our intern hackathon and learn how enterprise-scale AI cloud engineering and DevSecOps intersect to drive innovation and operational excellence.