Associate 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!

Are you ready to join the Un-carrier movement?
The Assoc Engineer, AI Modeling at T-Mobile is instrumental in supporting the development and optimization of AI models that enhance customer service automation. This role involves applying techniques such as prompt engineering and fine-tuning to improve AI performance. The Assoc Engineer collaborates with cross-functional teams to integrate AI-driven enhancements into production systems, thereby improving customer interactions and satisfaction. By contributing to the architecture of sophisticated AI systems, this role supports the strategic enhancement of T-Mobile's AI capabilities. Overall, the Assoc Engineer plays a key role in ensuring the reliability, accuracy, and efficiency of AI applications in customer service operations.
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 you're up to the challenge, apply today!

Responsibilities

· Assist in building agentic AI systems that accomplish complex tasks by invoking Generative AI models as well as internal and third-party tools using APIs

· Support optimization of AI system performance through prompt engineering, fine-tuning, and reinforcement learning.

· Develop and maintain supporting software components, scripts, and pipelines to enable AI model deployment, testing, evaluation, and monitoring.

· Assist in implementing retrieval-augmented generation (RAG) techniques to ensure AI responses are contextually accurate and grounded in real-time data.

· Collaborate with senior AI engineers, backend engineers, business experts, and conversation designers to integrate AI-driven solutions into production environments.

· Stay up-to-date with latest LLM advancements in prompt design, few-shot learning, Tool integration protocols like MCP and AI orchestration frameworks like Agent SDK

· Help define and track success metrics aligned with business requirements and contribute to improving model quality.

· Participate in other duties or projects as assigned.

Knowledge, Skills, and Abilities

· Familiarity with LLM fine-tuning and prompt engineering (e.g., OpenAI APIs, Hugging Face, Anthropic Claude, Google Gemini).

· Exposure to AI orchestration tools such as LangChain, LlamaIndex, and vector databases for retrieval augmented generation.

· Basic knowledge of function calling and API-based reasoning models to support automated workflows.

· Proficiency in Python and willingness to learn AI development frameworks.

· Understanding of multi-agent systems and agentic AI concepts.

· Experience with AI evaluation techniques, including test sets, synthetic data generation, and interactive testing.

· Strong collaboration, communication, and problem-solving skills; ability to work with cross-functional teams.

· Familiarity with Agile development environments to facilitate rapid AI prototyping and iterations.

Preferred Knowledge, Skills, and Abilities

· Exposure to customer service AI applications and intent-driven automation.

· Familiarity with RAG pipelines and vector database retrieval concepts.

· Knowledge of AI middleware development and API integration basics.

· Awareness of cloud AI platforms (AWS, GCP, Azure) and scalable AI system architectures.

Education

· Bachelor’s degree in Computer Science, Artificial Intelligence, or a related field required.

· Master’s degree preferred but not mandatory.

• 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

Total Target Cash Earnings Opportunity: $88,990 - $160,710

National Base Pay Range: $80,900 - $146,100

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, https://paylookup.t-mobile.com/paylookup?reqID=REQ354088¶dox=1

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 [email protected] 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.