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Job Description

T-Mobile is building AI capabilities that can be delivered safely across the enterprise, with the right infrastructure and guardrails to support responsible rollout. In this on-site role in Frisco, TX, you will help design and deploy AI systems that power customer service automation and improve operational workflows. Expect a collaborative environment where measurable outcomes, customer satisfaction, and organizational efficiency are key priorities.

Salary: USD 110,200 - 228,505 per year. National base pay range: USD 110,200 - 198,700. Total target cash earnings opportunity: USD 126,730 - 228,505.

What you’ll do

  • Design and implement retrieval-augmented generation (RAG) pipelines that ground AI responses in enterprise knowledge sources.
  • Develop AI models to enhance customer service automation with measurable improvements.
  • Use prompt engineering and fine-tuning techniques to optimize AI system performance.
  • Create AI tools that support adoption of AI-driven improvements within operational frameworks.
  • Partner with cross-functional teams to ensure AI systems integrate effectively and function as intended.
  • Design AI solutions that improve interaction capabilities within complex service workflows.
  • Contribute to strategic AI initiatives aligned to goals for customer satisfaction and efficiency.
  • Complete other duties and projects as assigned by business management.

Requirements

  • Retrieval Augmented Generation (RAG) with Vector Databases/Embeddings
  • Prompt Engineering, including LLM orchestration and RAG workflow design
  • Python with LLM orchestration frameworks such as LangChain and ADK
  • Cloud Computing for RAG deployment and LLM application infrastructure, including vector database and cloud AI services
  • Data analysis and model tuning
  • Customer-focused mindset and collaboration experience
  • Education & experience: Bachelor’s Degree plus 3 years of related work experience OR advanced degree plus 1 year of related work experience
  • Acceptable areas of study include Computer Science, Engineering, Artificial Intelligence, and Data Science
  • 2+ years developing and deploying machine learning models, including fine-tuning and prompt engineering
  • 2+ years using AI tools and software development with Python or R
  • 2+ years collaborating cross-functionally to integrate AI solutions into business workflows
  • Preferred: Certified Analytics Professional (CAP)
  • Preferred: Machine Learning Certification
  • Preferred: Certified Data Scientist (CDS)
  • At least 18 years of age and legally authorized to work in the United States

Technologies you’ll work with

  • Retrieval-augmented generation (RAG)
  • Vector Databases/Embeddings
  • Prompt Engineering
  • LLM orchestration
  • Python
  • LangChain, ADK
  • Cloud Computing, vector database and cloud AI services
  • Machine learning models, fine-tuning

Benefits

  • Medical, dental and vision insurance
  • Flexible spending account
  • 401(k)
  • Employee stock grants and Employee stock purchase plan
  • Paid time off and up to 12 paid holidays
  • Paid parental and family leave, plus family building benefits
  • Back-up care, enhanced family support, and childcare subsidy
  • Tuition assistance and college coaching
  • Short- and long-term disability
  • Voluntary AD&D, accident, life, disability, and long-term care insurance
  • Mobile service & home internet discounts (eligible employees), pet insurance
  • Access to commuter and transit programs
  • Annual stock grant and access to free, year-round money coaches
  • Annual bonus or periodic sales incentive or bonus (based on role) and year-end bonus (corporate employees, based on individual and/or company performance)
  • Monthly bonuses for certain Customer Care positions (based on individual and/or team performance)

Travel: No

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