Job Overview
This role supports the development and refinement of artificial intelligence (AI) models to improve customer service automation capabilities. It involves applying prompt engineering, fine-tuning techniques, and contributing to the creation of AI tools that optimize system performance. The role assists in designing and building AI systems that enhance interaction capabilities within complex service workflows. Success is measured by the quality of contributions to AI integration efforts and the individual's growth toward independent delivery. The work impacts the organization by supporting operational efficiency and customer satisfaction through AI-driven improvements.

Job Responsibilities:

• Support the development of conversational AI and Agent Engineering capabilities, contributing to AI models that enhance customer service automation with measurable improvements
• Learn and apply prompt engineering and fine-tuning techniques under guidance to optimize AI system performance effectively
• Assist in creating AI tools that enable integration of AI-driven improvements into operational frameworks
• Collaborate with cross-functional teams to support effective integration and functionality of AI systems
• Contribute to the design and testing of AI systems that improve interaction capabilities within complex service workflows
• Participate in strategic AI initiatives that advance organizational goals of customer satisfaction and efficiency
• Responsible for other duties/projects as assigned by business management as needed

Education and Work Experience:

• Bachelor's Degree OR combination of education and experience deemed equivalent (Required)
• Acceptable areas of study include Computer Science, Engineering, or related field (Preferred)
• Less than 2 years Developing and optimizing AI models, particularly in customer service automation (Preferred)
• Less than 2 years Applying AI techniques such as prompt engineering and fine-tuning (Preferred)
• Less than 2 years Collaborating with cross-functional teams to integrate AI-driven solutions into production systems (Preferred)

Knowledge, Skills and Abilities:

• Cloud Computing (Required)
• Collaboration (Required)
• Customer-Focused (Required)
• Data Analysis (Required)
• Data Management (Required)
• Data Modeling (Required)
• Model Tuning (Required)
• Prompt Engineering (Required)

Licenses and Certifications:

• Certified Analytics Professional (CAP): Certification that validates an individual's expertise in analytics processes, including the formulation of business and analytics problems, methodology selection, and model building. (Preferred)
• Machine Learning Certification: Certification that demonstrates proficiency and understanding in machine learning techniques, which are crucial for developing and optimizing AI models. (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: $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, https://paylookup.t-mobile.com/paylookup?reqID=REQ367800¶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!