AI Engineer
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