Summer 2027 Assoc AI Engineer Internship

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.

T-Mobile didn’t become a leader by following the playbook. We got here by breaking it. We’re a disruptor that now plays on a higher tier, and we’re still raising the bar for millions of customers nationwide. If you want to work somewhere that sets the standard instead of matching it, this is your place.

This is an 11-week paid learning experience where you’ll do real work, not busywork. You’ll build relationships with other interns and leaders across the company, and you’ll be paired with mentors who will challenge you to grow skills that matter. We’ll give you hands-on projects with real stakes, and we expect your creativity and sharp ideas to make an immediate impact. You’ll work alongside T-Mobile employees who have your back and who still believe the best ideas can come from anyone.

What It's Like:

Our team focuses on leveraging Artificial Intelligence (AI) and emerging technologies to enhance T-Mobile's customer experience and improve operational efficiency. We develop, optimize, and integrate AI-driven solutions that enable smarter customer interactions and automate customer service processes. We collaborate with cross-functional teams to build reliable, scalable, and effective AI applications that support business goals. Our work drives innovation by applying Generative AI, prompt engineering, and machine learning technologies to solve real-world challenges and deliver meaningful value to T-Mobile and its customers.

What You'll Do:

Our team serves as the **Decision Engine for Next Best Actions (NBA)**, leveraging Artificial Intelligence (AI), Machine Learning, and advanced decisioning technologies to deliver personalized, intelligent customer experiences across T-Mobile. We design, develop, and optimize AI-driven solutions that determine the most relevant actions and recommendations based on customer needs, context, and business objectives. We collaborate with cross-functional teams to build scalable, reliable, and real-time decisioning capabilities that enhance customer engagement and operational efficiency. Our work plays a critical role in enabling smarter, data-driven decisions that improve customer satisfaction and drive meaningful business outcomes.

Key Responsibilities:

- Support the development of proof-of-concept solutions, conduct testing, document findings, and present recommendations to improve the reliability, scalability, and effectiveness of AI-driven decisioning.

What It Takes:

Currently pursuing a Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical field.

Foundational knowledge of Artificial Intelligence (AI), Machine Learning (ML), Generative AI, and Large Language Models (LLMs).

Familiarity with Python and/or Java programming, data analysis, cloud computing, and software development concepts.

Exposure to prompt engineering, AI model optimization, data modeling, or AI-driven decisioning through coursework, academic projects, or personal projects.

Interest in developing intelligent decisioning solutions, personalization, and Next Best Action (NBA) recommendations to improve customer experiences.

Strong analytical thinking, problem-solving, communication, and collaboration skills, with a willingness to learn emerging technologies.

Preferred but not required: Hands-on experience with AI/ML frameworks, cloud platforms (AWS, Azure, or GCP), or relevant AI/ML certifications.

• Minimum Qualifications  
  • • At least 18 years of age 
    • Legally authorized to work in the United States now and in the future  
    • Must have one or more course(s) remaining in a Bachelors or Graduate degree program post internship 
    • Employees of T-Mobile or Metro by T-Mobile are ineligible for external Summer Internships, please see Magenta Accelerator if interested  
       

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

Intern wages range from $27/hour to $50/hour. The successful candidate’s actual pay will be based on education/STEM vs non-STEM designation.  

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, genetic information, 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 ApplicantAccommodation@t-mobile.com 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.