Senior 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!

Job Overview

The Senior AI Engineer focuses on enabling systems for coding, deploying, and maintaining large-scale machine learning models throughout their lifecycle. By combining software engineering principles and data science / machine learning knowledge, the AI Engineer develops the data processes that make ML models generally available for use in products for end-users and customers. The senior AI engineer should understand machine learning algorithms and be able to explain ML models to the business. Also, the experience in software engineering and various programming languages, including Python, SQL, and scalable computing such as Apache Spark are essential. This position also requires an in depth knowledge of the latest cloud computing technologies that are imperative for ML model development and deployment in this era. The chief contribution of the Senior AI Engineer is their ability to guide, influence, and inspire peak performance, innovation, and adoption of the latest software / ML engineering practices to enable AI technologies across the TMUS organization.

Job Responsibilities :

Mentor teams on best practices for GenAI development

Evaluate emerging GenAI tools and benchmark models.

Influence the organization’s roadmap for deploying cutting-edge conversational AI systems.

Work with industry leaders to stay at the forefront of AI advancements

Lead the design, development, and deployment of advanced GenAI solutions, including models like ChatGPT.

Education :

Bachelor's Degree Computer Science, Statistics, Informatics, Information Systems, Machine Learning, or another quantitative field (Required)

Master's / Advanced Degree Computer Science, Statistics, Informatics, Information Systems, Machine Learning, or another quantitative field (Preferred)

Work Experience :

4-7 years Data Engineering, Data Science (Required)

4-7 years Experience building and optimizing ‘big data’ data pipelines, architectures and data sets using SQL, Teradata, Oracle or similar (Required)

4-7 years Experience in Apache Spark and Databricks (Preferred)

4-7 years Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement (Required)

4-7 years Experience in languages such as Python / R, Java / Scala, and / or Go (Required)

4-7 years Experience delivering high-quality ML models in production (Required)

Preferred / Required Skills :

Experience with conversational AI systems and models like GPT.

Strong understanding of data preparation, prompt engineering, and user experience integration.

Experience with GenAI development and generative technology innovations.

Knowledge of model evaluation processes, including reinforcement learning and human feedback loops.

Familiarity with emerging GenAI tools and benchmarking models.

Knowledge, Skills and Abilities :

Programming Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases (Required)

Big Data Solid understanding of machine learning concepts and techniques related to supervised and unsupervised learning (Required)

Problem Solving Ability to analyze a business problem / situation / task and develop it in a constructive solution to help the business make informed decisions. (Required)

Management Ability to manage work across multiple projects, good organizational skills (Preferred)

Telecommunications Domain knowledge related to various streams in telecommunications including but not limited to Marketing, Customer Experience, Finance or Strategy. (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

Base Pay Range : $108,000 - $194,900Corporate 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, ;paradox=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

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 -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.

Salary : $108,000 - $194,900