AI Engineer

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As an AI Engineer on the IntentCX team, you will drive the optimization and orchestration of AI models that power T-Mobile’s customer service automation. Your role will focus on enhancing model outputs by leveraging the latest in prompt engineering and optimization, fine-tuning, and agentic AI systems. You’ll design advanced tools and workflows that empower AI to think, reason, and respond in ways that feel genuinely human, tackling the most complex challenges in customer service. Partnering with diverse teams across the company, you’ll see your innovations move swiftly from concept to reality, directly impacting customer satisfaction and setting new standards for reliability and efficiency. This role is ideal for an LLM expert and AI systems builder who thrives on leveraging prompt engineering, retrieval-augmented generation (RAG), and function calling to improve AI-driven customer interactions at scale.
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:

• Design and implement retrieval-augmented generation (RAG) pipelines to ground AI responses in enterprise knowledge sources.
• Develop AI models to enhance customer service automation capabilities with measurable improvements
• Apply prompt engineering and fine-tuning techniques to optimize AI system performance effectively
• Create AI tools that support integration of AI-driven improvements into operational frameworks
• Collaborate with cross-functional teams to ensure effective integration and functionality of AI systems
• Design AI systems that improve interaction capabilities within complex service workflows
• Contribute to strategic AI initiatives that advance organizational goals of customer satisfaction and efficiency
• Also responsible for other duties/projects as assigned by business management as needed

Knowledge, Skills and Abilities:

Required:

• Data Management/Data Modeling - Retrieval Augmented Generation (RAG); Vector Databases/Embeddings
• Prompt Engineering - LLM orchestration and RAG workflow design
• Python - LLM Orchestration Frameworks, e.g., LangChain, ADK
• Cloud Computing - RAG deployment, LLM application infrastructure, vector database/cloud AI services
• Data Analysis
• Model Tuning
• Customer-Focused
• Collaboration

Education and Work Experience:

Required:

• Bachelor's Degree plus 3 years of related work experience
  OR advanced degree plus 1 year of related work experience.
• Acceptable areas of study include Computer Science, Engineering, Artificial Intelligence, Data Science.
• 2+ years developing and deploying machine learning models, including fine-tuning and prompt engineering.
• 2+ years experience with AI tools and software development using programming languages such as Python or R.
• 2+ years collaborating with cross-functional teams to integrate AI solutions into business workflows.

Licenses and Certifications:

• Certified Analytics Professional (CAP): Certification that validates an individual's 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 below is the "National Pay Range" and does not reflect the actual range for the locations listed. Please click on the link at the end of the second paragraph below to see the "actual" pay range for each location.

Total Target Cash Earnings Opportunity: $126,730 - $228,505

National Base Pay Range: $110,200 - $198,700

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=REQ371910¶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.