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 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.
Job 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
- Also responsible for other duties/projects as assigned by business management as needed
Knowledge, Skills and Abilities:
Required:
- Cloud Computing
- Collaboration
- Customer-Focused
- Data Analysis
- Data Management
- Data Modeling
- Model Tuning
- Prompt Engineering
- Python
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:
Preferred:
- 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.
- At least 18 years of age
- Legally authorized to work in the United States
Travel: Travel Required (Yes/No): No
DOT Regulated: DOT Regulated Position (Yes/No): No Safety Sensitive Position (Yes/No): No
Note: The pay range shown below is the "National Pay Range". To find out the actual pay range for the locations listed on this posting, please click or copy/paste the URL in the 2nd paragraph below.*
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.
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. 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. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ367686¶dox=1
At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. 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, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total 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, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile’s amazing benefits, check out _www.t-mobilebenefits.com_.
Never stop growing! As part of the T-Mobile team, you know the Un-carrier doesn’t have a corporate ladder–it’s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you’re living our values while investing in your career growth–and we applaud it. You’re unstoppable!
T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.
Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.