AI COE Delivery Intern: AI, Cloud & Automation

JM Family

Deerfield Beach (FL)

On-site

USD 28,000 - 41,000

Full time

6 days ago

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Job summary

JM Family is seeking an AI Center of Excellence Delivery Team Intern for a Summer program in Deerfield Beach, FL. You will work at the intersection of AI, software development, cloud engineering, automation, and cybersecurity, gaining hands-on experience with emergent AI technologies while researching, prototyping, and developing solutions to support enterprise AI adoption.

You will contribute to AI-powered applications, participate in hackathons and workshops, and document findings and best

Qualifications

Full-time position with flexible working arrangements depending on business need.
Active enrollment in a bachelor’s, master’s, or other degree-seeking program at an accredited college or university, in a relevant field.
Pursuing a computer science-related field such as Computer Science, Software Engineering, AI, Data Science, Cybersecurity, IT, or related discipline.
AI or machine learning coursework is preferred.
Basic understanding of programming and software development concepts; experience or coursework in Python, JavaScript, TypeScript, or PowerShell is 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.

Responsibilities

Develop, test, and prototype AI-powered applications, copilots, agents, and automation solutions using technologies such as Anthropic Claude, Claude Code, Microsoft Copilot, Copilot Studio, Foundry, GitHub Copilot, and OpenAI Codex.
Perform computer programming and AI engineering activities, including experimenting with agentic workflows, AI coding agents, harnesses, 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, focusing on 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 tooling to keep pace with the evolving AI landscape.
Assist with 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 with cross-team collaboration.