AI Engineer

The AI Engineer role at T-Mobile USA, Inc. in Frisco, TX focuses on building and deploying AI infrastructure and guardrails that help teams deliver new AI capabilities safely across the enterprise. The position emphasizes practical system design for retrieval-augmented generation (RAG), customer service automation improvements, and integration of AI into operational workflows.

Location

Frisco, TX (onsite)

Compensation

• Salary range: 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

Experience and Education

• Minimum experience: 3 years
• Education: Bachelor’s Degree

Responsibilities

• Design and implement retrieval-augmented generation (RAG) pipelines that ground AI responses in enterprise knowledge sources.
• Develop AI models to enhance customer service automation capabilities with measurable improvements.
• Apply prompt engineering and fine-tuning techniques to optimize AI system performance effectively.
• Create AI tools that support integration of AI-driven improvements into operational frameworks.
• Collaborate with cross-functional teams to ensure effective integration and functionality of AI systems.
• Design AI systems that improve interaction capabilities within complex service workflows.
• Contribute to strategic AI initiatives aligned to organizational goals for customer satisfaction and efficiency.
• Perform other duties or projects as assigned by business management when needed.

Requirements

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

Technologies

• 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
• Employee stock purchase plan
• Paid time off
• Up to 12 paid holidays
• Paid parental and family leave
• Family building benefits
• Back-up care
• Enhanced family support
• Childcare subsidy
• Tuition assistance and college coaching
• Short- and long-term disability
• Voluntary AD&D, accident coverage, life insurance, disability insurance, and long-term care insurance
• Mobile service & home internet discounts (eligible employees)
• Pet insurance
• Access to commuter and transit programs
• Annual stock grant
• Access to free, year-round money coaches
• Annual bonus or periodic sales incentive or bonus (in regular, non-temporary roles, based on role)
• Year-end bonus (corporate employees, based on individual and/or company performance)
• Monthly bonuses (certain positions in Customer Care, based on individual and/or team performance)

Travel and Compliance

• Travel required: No
• DOT regulated position: No
• Safety sensitive position: No