Generative Ai Associate Jobs in Kansas (NOW HIRING)

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 redefine the future of customer service with the power of AI? Our team is searching for an Associate AI Engineer to support the evolution of T-Mobile's Agentic Next Best Action (ANBA) capabilities—powering intelligent, real-time decisioning and enabling the next best customer experiences at scale. In this role, you support the design and optimization of agentic AI systems that determine and execute the most effective next action for each customer interaction, while shaping seamless, personalized experiences. Leveraging techniques such as prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and tool-integrated reasoning, you'll help build AI that dynamically orchestrates workflows, invokes APIs, and adapts decisions based on context and intent. You'll support engineering, product, and business teams to embed ANBA-driven intelligence into production systems—delivering proactive, outcome-oriented experiences that improve customer satisfaction and business results. This role is critical in support of the advancement of T-Mobile's AI capabilities from traditional automation to autonomous, decision-driven systems that continuously learn and optimize both actions and experiences. We pride ourselves on encouraging a culture of innovation, advocating for agile methodologies, and promoting clarity in all that we do. Join us in embodying the spirit of the 'Un-carrier' and make a tangible impact! If you are passionate about driving excellence and want to make a significant impact, apply today!

Responsibilities:

• Apply prompt engineering techniques to enhance AI model performance for customer service automation
• Collaborate with cross-functional teams to integrate AI-driven enhancements into production systems
• Support the development and optimization of AI models to meet operational goals
• Contribute to the architecture of AI systems to improve customer interactions
• Ensure the reliability, accuracy, and efficiency of AI applications in customer service operations
• Fine-tune AI models to enhance performance and user satisfaction
• Also responsible for other duties/projects as assigned by business management as needed

Knowledge, Skills and Abilities:

Required:

• Data Analysis: Ability to analyze and interpret complex data to improve AI model performance.
• Problem Solving: Strong problem-solving skills to troubleshoot and optimize AI systems.
• Collaboration: Excellent collaboration skills to work effectively with cross-functional teams.
• Data Management: Ability to work with structured and unstructured datasets while ensuring data accuracy, integrity, security, and compliance with organizational standards.
• Data Modeling: Understanding of data modeling concepts and techniques, including relational, dimensional, and semantic data models used to support analytics, machine learning, and AI applications.
• Model Tuning: Ability to analyze model performance, identify improvement opportunities, and implement adjustments to enhance accuracy, reliability, and scalability.
• Prompt Engineering: Knowledge of prompt engineering best practices for generative AI and large language models (LLMs), including prompt design, testing, refinement, and optimization.
• Cloud Computing: Knowledge of cloud computing platforms and services (e.g., AWS, Azure, Google Cloud) used for data processing, machine learning, and AI solution deployment.

Preferred:

• Less than 2 years Developing and optimizing AI models, particularly in customer service automation.
• Less than 2 years Applying AI techniques such as prompt engineering and fine-tuning.
• Less than 2 years Collaborating with cross-functional teams to integrate AI-driven solutions into production systems.

Education:

Bachelor's Degree OR combination of education and experience deemed equivalent. Acceptable areas of study include Computer Science, Engineering, or related field.

• At least 18 years of age
• Legally authorized to work in the United States

Travel:

Travel Required (Yes/No): Yes

DOT Regulated:

DOT Regulated Position (Yes/No): No

Safety Sensitive Position (Yes/No): No

Base Pay Range: $80,900 - $146,100 Corporate Bonus Target: 10%

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, please visit https://paylookup.t-mobile.com/paylookup?reqID=REQ357347¶dox=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 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, 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 ApplicantAccommodation@t-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.