Summer 2027 Assoc AI Engineer Internship

T-Mobile•Overland Park, KS
•$27 - $50

About The Position

T-Mobile is hiring an Associate AI Engineer intern for an 11-week paid learning experience. Interns work on real projects, receive training, build relationships with colleagues and leaders, and are paired with mentors. The team applies artificial intelligence and emerging technologies to enhance customer experiences and operational efficiency, developing and integrating AI-driven solutions for customer interactions and service processes. The team serves as the Decision Engine for Next Best Actions (NBA), using AI, machine learning, and decisioning technologies to provide personalized customer experiences. It develops and optimizes solutions that recommend relevant actions based on customer needs, context, and business objectives, collaborating across teams to build scalable, reliable, and real-time capabilities. The intern will support proof-of-concept development, testing, documentation, and recommendations to improve AI-driven decisioning. The internship is paid at $27–$50 per hour, with actual pay based on education and STEM designation. Relocation assistance is available to program participants who live more than 50 miles from the internship location. Interns must be at least 18, authorized to work in the United States, and have one or more courses remaining in a bachelor's or graduate degree program after the internship. Current T-Mobile or Metro by T-Mobile employees are ineligible for external Summer Internships.

Requirements

  • 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, machine learning, generative AI, and large language models.
  • Familiarity with Python and/or Java programming, data analysis, cloud computing, and software development concepts.
  • Interest in intelligent decisioning solutions, personalization, and Next Best Action recommendations to improve customer experiences.
  • Strong analytical thinking, problem-solving, communication, and collaboration skills, and willingness to learn emerging technologies.
  • At least 18 years of age.
  • Legally authorized to work in the United States now and in the future.
  • Must have one or more courses remaining in a bachelor's or graduate degree program after the internship.

Nice To Haves

  • Exposure to prompt engineering, AI model optimization, data modeling, or AI-driven decisioning through coursework, academic projects, or personal projects.
  • Hands-on experience with AI/ML frameworks, cloud platforms such as AWS, Azure, or GCP, or relevant AI/ML certifications.

Responsibilities

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

Benefits

  • Paid 11-week internship at $27–$50 per hour.
  • Relocation assistance for program participants who reside more than 50 miles from the internship location.
  • Training, mentorship, and hands-on project experience.
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