AI Engineer (Multiple Positions)

About the role

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.

We're hiring across four AI Engineer positions; each pointed at a different piece of the puzzle:

• Platform Configuration & Safe Rollout — you configure our GenAI platforms (Claude, OpenAI, Glean, and whatever's next), stand up the pilot groups, and run the controlled rollout that takes a feature from test group to enterprise-wide — with security built in from the start, not bolted on after.
• Agent Risk & Remediation (2 openings) — you build the systems that scan every agent in the company, flag the ones drifting out of policy, burning too many tokens, or running on deprecating models, and push fixes across the whole fleet at scale. One of the broadest-reaching engineering roles in the org — literally every agent in T-Mobile eventually crosses your radar.
• AI Evaluation & Model Risk — you decide which models T-Mobile can trust. You own the evaluation harness, the model cards, and the ongoing checks that let teams adopt new models fast, backed by evidence instead of guesswork.

Different focus, same mission: make it possible for T-Mobile to move fast on AI without ever having to choose between speed and safety.

Responsibilities

• 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
• Responsible for other duties/projects as assigned by business management as needed

Requirements

• 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.
• At least 18 years of age
• Legally authorized to work in the United States

Skills

• Cloud Computing
• Collaboration
• Customer-Focused
• Data Analysis
• Data Management
• Data Modeling
• Model Tuning
• Prompt Engineering
• Python

Preferred 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.
• Machine Learning Certification: Certification demonstrating proficiency in machine learning techniques and applications, relevant for developing AI models.
• 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.

Pay

Base Pay Range: $110,200 - $198,700

Corporate Bonus Target: 15%

The pay range above is the general base pay range for a successful candidate in the role. The successful candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee’s eligible earnings in the prior year.

To find the pay range for this role based on hiring location, visit T-Mobile Pay Lookup.

Benefits

Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering:

• Medical, dental, and vision insurance
• Flexible spending account
• 401(k) with company match
• Employee stock grants and employee stock purchase plan
• Paid time off and up to 12 paid holidays (about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually)
• Paid parental and family leave
• Family building benefits
• Back-up care and enhanced family support
• 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
• Pet insurance
• Commuter and transit programs

To learn more about T-Mobile’s benefits, visit www.t-mobilebenefits.com.