AI Engineer

At T-Mobile, we invest in YOU!  Our Total Rewards Package ensures that employees get the same big love we give our customers.  All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches.

That’s how we’re UNSTOPPABLE for our employees!

AI is moving faster than almost anything else in tech right now — and someone must make sure T-Mobile moves with it, safely. That's this team.

We're the engineering group deciding how new AI capability reaches the enterprise: which platforms and models get turned on, which agents are safe to keep running, and which ones need a fix before something goes wrong. Every new model, every new feature, and every agent built by every team at T-Mobile eventually runs through us. If you want to work on the infrastructure and guardrails behind AI at a company with 100M+ customers — not a side project, not a pilot, the real thing — this is that role.

We're hiring multiple AI Engineer positions; each pointed at a different piece of the puzzle. Different focuses, same mission: make it possible for T-Mobile to move fast on AI without ever having to choose between speed and safety.

Responsibilities:

Design and implement retrieval-augmented generation (RAG) pipelines to 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 that advance organizational goals of customer satisfaction and efficiency

Also responsible for other duties/projects as assigned by business management as needed

Knowledge, Skills and Abilities:

Required:

Data Management/Data Modeling - Retrieval Augmented Generation (RAG);
Vector Databases/Embeddings Prompt Engineering - LLM orchestration and RAG workflow design

Python - LLM Orchestration Frameworks, e.g., Lang Chain, ADKCloud Computing - RAG deployment, LLM application infrastructure, vector database/cloud AI services

Data Analysis Model Tuning Customer-Focused Collaboration Education  and

Work Experience:

Required:

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, 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.

Licenses and

Certifications:

Certified Analytics Professional (CAP):
Certification that validates an individual's expertise in data analytics processes, including the ability to model and interpret complex data. (Preferred)
Machine Learning Certification:
Certification demonstrating proficiency in machine learning techniques and applications, relevant for developing AI models. (Preferred)
Certified Data Scientist (CDS):
Certification that endorses skills in data science and its application in AI modeling, crucial for enhancing AI-driven customer service solutions. (Preferred)
At least 18 years of age Legally authorized…