Job Overview
This role supports the development and optimization of artificial intelligence (AI) models to enhance customer service automation. It involves applying prompt engineering and fine-tuning techniques to improve AI model performance. The role collaborates with cross-functional teams to integrate AI-driven enhancements into production systems. Success is measured by the reliability, accuracy, and efficiency of AI applications in customer service operations. The work impacts organizational capabilities by improving customer interactions and satisfaction through advanced AI systems.

Job 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

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

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=REQ375927¶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!