AI Engineer

T-Mobile; Frisco (TX); On-site; USD 110,000 - 199,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Flexible spending account

401(k)

Stock grants

Employee stock purchase plan

Paid time off

Paid holidays

Tuition assistance

Job summary

T-Mobile is hiring AI Engineers to build and scale responsible AI capabilities across enterprise platforms. You will design RAG-powered systems, fine-tune models, and orchestrate large language models to improve customer service automation with measurable impact.

You will collaborate with cross-functional teams to ensure seamless integration into business workflows and gain exposure to cutting-edge LLM tooling within a large, customer-focused organization.

Qualifications

• Bachelor's Degree plus 3 years of related work experience or advanced degree plus 1 year of related work experience.
• 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.
• Acceptable areas of study include Computer Science, Engineering, Artificial Intelligence, Data Science.

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

Skills

Data Management

Data Modeling

RAG

Vector Databases

Embeddings

Prompt Engineering

Python

LLM Orchestration

Cloud Computing

Data Analysis

Model Tuning

Collaboration

Customer-Focused

Education

Bachelor's Degree

CS/Engineering/AI/Data Science

Tools

LangChain

ADK

Job description

life insurance, vision insurance, flexible benefit account, paid time off, paid holidays, tuition assistance, 401(k)

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., 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:

• 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 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 base salary range below is the National Pay Range. Please scroll down to the second paragraph below and copy/paste the URL into a browser to view the ACTUAL pay range based on location.

Total Target Cash Earnings Opportunity: $126,730 - $228,505National Base Pay Range: $110,200 - $198,700

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 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. To find the pay range for this role based on hiring location, click here.

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. 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 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. 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 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, 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.

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 [e-mail] 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.