Engineer, Enterprise AI
Engineer, Enterprise AI
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Job Description
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!
Job OverviewThe Engineer AI Modeling at T-Mobiles Enterprise AI team plays a key role in designing and deploying advanced AI solutions that drive employee productivity process optimization business transformation and decision intelligence. This role involves leveraging state-of-the-art AI technologies such as LLM APIs Custom GPTs Agentic workflows and Retrieval-Augmented Generation (RAG) frameworks to develop and refine intelligent systems that enhance automation streamline operations and enable smarter decision-making across the organization. Working collaboratively with cross-functional teams the Engineer ensures AI-driven improvements are effectively integrated into enterprise workflows directly contributing to T-Mobiles mission of innovation efficiency and customer-first transformation.
We pride ourselves on encouraging a culture of innovation advocating for agile methodologies and promoting transparency in all that we do. Join us in embodying the spirit of the Un-carrier and make a tangible impact! Our team is dynamic where no day is the same and we are diverse and inclusive passionate about growth and transformation. If youre up to the challenge apply today!
Job Responsibilities:
Develop and deploy AI solutions that improve employee productivity decision intelligence and business workflows.
Implement RAG pipelines agentic flows and custom GPTs to optimize enterprise use cases.
Apply prompt engineering fine-tuning and LLM usage to enhance AI model performance.
Design and build AI-powered automation tools for process optimization and enterprise transformation.
Collaborate with data scientists engineers and business stakeholders to integrate AI-driven insights and workflows.
Monitor evaluate and continuously improve AI systems to ensure scalability reliability and measurable impact.
Contribute to strategic AI initiatives aligning solutions with T-Mobiles long-term business and operational goals.
Education and Work Experience:
Bachelors Degree Computer Science Engineering or Related Field (Required)
Masters/Advanced Degree Artificial Intelligence Data Science or Related Field (Preferred)
13 years of experience in AI/ML engineering applied AI or intelligent systems development.
Hands-on experience with LLM development OpenAI API usage custom GPT creation and RAG implementations.
Proficiency in Python (preferred) with experience in libraries such as PyTorch TensorFlow LangChain or similar.
Experience integrating AI into business applications workflows or enterprise platforms.
Knowledge Skills and Abilities:
Data Analysis- Ability to analyze and interpret complex data to improve AI models. (Required)
Problem Solving- Capability to identify and resolve issues within AI systems and model development. (Required)
Technical Writing- Proficiency in documenting AI model specifications and modifications. (Preferred)
Collaboration - Ability to work effectively with multi-functional teams to integrate AI solutions. (Required)
Agile Methodologies Experience in agile project management to facilitate rapid and effective AI development cycles. (Preferred)
Strategic Thinking- Skill in developing long-term AI strategies aligned with business objectives. (Preferred)
Innovation- Ability to innovate and apply creative solutions in AI model development. (Preferred)
Customer Focus- Focus on enhancing customer service through AI-driven solutions. (Required)
Technology Management- Skill in managing technology resources and tools essential for AI development. (Preferred)
Analytics Strong analytical skills to evaluate the performance of AI models. (Required)
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
The pay range above is the general base pay range for a successful candidate in the role. The successful 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.
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 employees 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 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 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 or calling 1-. 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.
Employment Type
Full-Time
