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T-Mobile

Summer 2026 AI Platform Engineering Internship

Posted 18 Hours Ago
Be an Early Applicant
In-Office
2 Locations
20-40 Hourly
Internship
In-Office
2 Locations
20-40 Hourly
Internship
Interns will build prototypes for AI platform capabilities, evaluate design patterns, and improve system reliability and observability while collaborating with T-Mobile teams.
The summary above was generated by AI

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.

What You'll Do:

  • 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.

Key Responsibilities:

  • 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.

What It Takes:

  • 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.

Minimum Qualifications

  • 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.

    Relocation assistance may be provided to program participants who reside more than 50 miles from the internship location.

    Intern wages range from $20/hour to $40/hour. The successful candidate’s actual pay will be based on experience/location.

Never stop growing!
As part of the T-Mobile team, you know the Un-carrier doesn’t have a corporate ladder–it’s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you’re living our values while investing in your career growth–and we applaud it. You’re unstoppable!
T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.
Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing [email protected] or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.

Top Skills

APIs
Cloud Platforms
Docker
Go
Java
Python
Typescript
HQ

T-Mobile Bellevue, Washington, USA Office

12920 SE 38th St, Bellevue, WA, United States, 98006

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