AI Engineer (Multiple Roles)

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. Thats how were 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. Thats this team.

Were 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.

Were 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 whatevers 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:

• 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. LangChain ADK

• Cloud Computing - RAG deployment LLM application infrastructure vector database/cloud AI services

• Data Analysis

• Model Tuning

• Customer-Focused

• Collaboration

Education and Work Experience:

Required:

• Bachelors 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 individuals 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 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.****

Total Target Cash Earnings Opportunity: $126730 - $228505

National Base Pay Range: $110200 - $198700

The Total Target Cash Earnings Opportunity represents the expected total cash compensation for this role at target performance combining base salary and annual incentive opportunity. Actual earnings may be higher or lower depending on individual performance and overall company results.

The base pay range reflects the compensation component of this opportunity. The candidates 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. To find the pay range for this role based on hiring location T-Mobile employees in regular non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus based on their role. Corporate employees are eligible for a year-end bonus based on individual and/or company performance and which is set at a percentage of the employees eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. The incentive component included in the Total Target Cash Earnings Opportunity reflects target performance. Actual earnings included in the Total Target Cash Earnings Opportunity reflect target performance; actual payouts may vary.

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 dont 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-Mobiles amazing benefits check out.

Never stop growing!

As part of the T-Mobile team you know the Un-carrier doesnt have a corporate ladderits more like a jungle gym of possibilities! We love helping our employees grow in their careers because its that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity youre living our values while investing in your career growthand we applaud it. Youre 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 genetic information 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.

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