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Engineer the intelligent core of T-Mobile’s next-generation customer experience.
We’re seeking a Senior AI Engineer to architect and optimize the agentic AI systems driving the evolution of customer service. You’ll design AI that performs with precision and coordinates across models, internal APIs, and third-party tools to create reliable, production-grade workflows and intuitive customer interactions.
Using advanced techniques such as prompt engineering, model fine-tuning, evaluation frameworks, and system-level orchestration, you’ll improve the accuracy, reliability, and reasoning capabilities of AI across the enterprise. Working closely with engineering, product, and operations teams, you’ll bring these innovations to life in resilient, fault-tolerant environments supporting millions of real-world customer conversations.
This is an opportunity to help define the AI foundation of the Un-carrier and build intelligent systems that set a new standard for customer experience. If you’re passionate about engineering quality, solving complex problems, and making a meaningful customer impact, we invite you to apply.
RESPONSIBILITIES
· Design, develop, and deploy scalable, production-grade Generative AI applications, LLM-powered solutions, and agentic AI systems to support enterprise business operations and customer service automation. · Architect and implement sophisticated AI agents and multi-agent orchestration workflows using modern frameworks such as LangGraph, LangChain, or equivalent technologies. · Develop Retrieval-Augmented Generation (RAG) solutions leveraging embeddings, vector databases, semantic search, and enterprise knowledge sources. · Build and integrate RESTful APIs, Model Context Protocol (MCP) connectors, and enterprise data services to enable secure AI interactions with internal and external systems. · Optimize AI performance through prompt engineering, model selection, retrieval optimization, fine-tuning, and efficient inference strategies to enhance customer service automation. · Design and implement AI evaluation frameworks to measure accuracy, hallucination rates, reliability, latency, throughput, and cost efficiency, ensuring alignment with strategic objectives and customer satisfaction goals. · Develop cloud-native AI solutions using Azure, AWS, or equivalent platforms, incorporating containerization, automated deployment, and scalable architectures. · Implement security, governance, and responsible AI practices, including authentication, authorization, data privacy, prompt injection protection, and enterprise compliance requirements. · Establish observability, logging, monitoring, and troubleshooting capabilities for AI applications and agentic workflows in production environments. · Collaborate with cross-functional engineering, architecture, product, cybersecurity, and business teams to ensure seamless integration of AI-driven enhancements into production systems. · Conduct technical design reviews, participate in code reviews, mentor engineers, and contribute to reusable engineering standards and best practices. · Research and evaluate emerging AI technologies, open-source frameworks, and industry advancements to stay current with the latest methodologies applicable to customer service and to identify opportunities for innovation and continuous improvement. · Perform other duties and projects as assigned by business management.
Skills
REQUIRED · Programming: Strong proficiency in Python, software engineering principles, and object-oriented programming. · API Development: Experience designing, developing, securing, and integrating RESTful APIs using frameworks such as FastAPI or equivalent. · Generative AI and LLMs: Hands-on experience building applications using large language models, prompt engineering, structured outputs, function calling, and tool integration. · Agentic AI: Experience developing AI agents, tool-calling workflows, and orchestration solutions using LangGraph, LangChain, or similar frameworks. · RAG and Data Management: Knowledge of embeddings, vector databases, semantic retrieval, document processing, and data integration. · Cloud Computing: Experience developing and deploying applications on Azure, AWS, or Google Cloud. · Software Engineering and DevOps: Proficiency with Git, CI/CD pipelines, automated testing, and production software development practices. · System Architecture: Ability to design scalable, secure, reliable, and maintainable distributed applications. · Data Analysis and Modeling: Strong analytical skills and experience working with structured and unstructured data. · AI Evaluation: Understanding of model evaluation, performance benchmarking, accuracy measurement, and AI quality assurance. · Collaboration: Strong communication, problem-solving, and cross-functional collaboration skills.
PREFERRED:
· Experience with Model Context Protocol (MCP) and enterprise AI tool integrations. · Experience with Docker, Kubernetes, and cloud-native deployment tooling for AI workloads.
EDUCATION & EXPERIENCE
REQUIRED:
· Bachelor's Degree plus 5 years of related work experience OR advanced degree with 3 years of related work experience
PREFERRED:
· Acceptable areas of study include Computer Science, Artificial Intelligence, or Related Field Master's/Advanced Degree Computer Science, Artificial Intelligence, or Data Science · 4+ yrs experience in developing and optimizing AI models for customer service automation using advanced techniques such as prompt engineering and fine-tuning. · 4+ yrs experience in architecting and deploying sophisticated agentic AI systems to enhance reasoning and interaction capabilities in complex workflows. · 4+ yrs experience in collaborating with cross-functional teams to integrate AI-driven enhancements into production systems.
CERTIFICATIONS
PREFERRED:
· Certified Analytics Professional (CAP): Certification that endorses an individual's expertise in analytics, including the ability to transform complex data into valuable insights and actions, which is crucial for optimizing AI models in customer service automation. · NVIDIA Deep Learning AI Certification: This certification demonstrates proficiency in designing and deploying deep learning AI applications, relevant for enhancing AI model performance in complex systems like customer service workflows. Certified Data Scientist (CDS): Certification that validates the skills required to analyze data scientifically and use it for operational improvements, which supports the development and optimization of AI tools and workflows.
- 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 base pay range below is our "National Pay Range". To find out the pay range for the locations listed - scroll down to the second paragraph below and copy/paste the URL in a browser to find out the actual pay range for each location.****
Total Target Cash Earnings Opportunity: $153,065 - $276,115
National Base Pay Range: $133,100 - $240,100
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=REQ379874¶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 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.