Summer 2026 AI Platform Engineering Internship
About The Position
T-Mobile is synonymous with innovation–and you could be part of the team that disrupted an entire industry! We reinvented customer service, brought real 5G to the nation, and now we’re shaping the future of technology in wireless and beyond. Our work is as exciting as it is rewarding, so consider the career opportunity below as your invitation to grow with us, make big things happen with us, above all, #BEYOU with us. Together, we won’t stop! Get hands-on experience, training—and a leg up on a bright future. Learn. Achieve. Build a career. T-Mobile is revolutionizing the wireless industry for millions of customers nationwide. Working here means rolling up your sleeves and redefining the status quo with a team that has your back every step of the way! This is an 11-week paid learning experience during which you’ll be able to connect and network with other interns and leaders within the company. We invite you to come innovate with mentors who will challenge you to develop meaningful skills. You’ll contribute your creativity and outstanding ideas, while working alongside T-Mobile employees. We’ll give you hands-on projects and the chance to create an immediate impact. What It's Like: The AI Platform Engineering team builds the foundational systems that power AI across T-Mobile. We design and operate shared platforms that make it easy, safe, and reliable for teams to deploy and scale AI-powered applications. Interns work on real infrastructure used by multiple teams, improving reliability, developer experience, and operational excellence. Your work enables AI engineers to move faster while meeting enterprise-scale requirements.
Requirements
- Strong software engineering fundamentals with experience in Python, Java, Go, or TypeScript.
- Interest in AI platform engineering concepts, including agent-based systems and context management.
- Familiarity with LLM-powered applications and agent frameworks (usage and integration, not model training).
- Understanding of APIs, distributed system basics, and platform observability concepts.
- Exposure to Docker, cloud platforms, and collaborative development workflows.
- At least 18 years of age
- Legally authorized to work in the United States
- Must be actively enrolled in a Bachelors or Graduate degree program
- Employees of T-Mobile or Metro by T-Mobile are ineligible for Internships
- Employer does not sponsor work visas for this position. Note that this also applies to individuals who are students in F-1 status who desire sponsorship after they complete their education.
Responsibilities
- Prototype AI platform capabilities focused on Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication.
- Build proof-of-concept solutions that demonstrate how agents share context, coordinate, and operate across systems.
- Evaluate design patterns, tradeoffs, and developer experience for emerging AI platform standards.
- Produce working prototypes and documentation that inform future platform and product decisions.
- Build shared platform components and reference implementations that enable agent coordination, context propagation, and integration across services.
- Design and prototype observability for AI platforms, including tracing agent interactions, context flow, and failure modes
- Evaluate platform-level concerns such as scalability, reliability, and developer experience for emerging AI standards.
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What This Job Offers
Career Level
Intern
Number of Employees
5,001-10,000 employees
