T-Mobile
Telecom · Telecom
- HQ
- Bellevue, US
- Founded
- 2001
- Size
- 35,000+
- Website
- t-mobile.com
T-Mobile currently has 7 active AI-related job listings. The majority of these roles, 57%, are focused on the agents stage. Engineering is the dominant function with 6 listings, and all roles are located in the United States. Frequent tech tags include agent_orchestration, model_serving, and rag.
Currently tracking 4 active AI roles, down 91% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $114k–$241k (avg $174k).
Telecom · Telecom
T-Mobile currently has 9 active AI-related roles in our index. The most common open titles are: Principal Data Scientists, Principal Engineer, Software - Enterprise Automation (RPA & AI), Principal GenAI Software Engineer, Senior Data Science Engineer, Sr Analyst, Compliance. Most positions are in Engineering and Product.
T-Mobile's active AI hiring is concentrated in: agents (56%), application (22%), serving infrastructure (11%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
T-Mobile is hiring AI talent in: United States (9 roles).
Job postings at T-Mobile most frequently reference: agent orchestration, model serving, inference infra, guardrails, fine tuning.
In the past 30 days, T-Mobile has posted 15 new AI-related roles. That is a +150% change versus the prior 30 days (6 → 15).
| Title | Stage | AI score |
|---|---|---|
| Sr AI Engineer Sr AI Engineer on the IntentCX team focused on optimizing and orchestrating AI models for customer service automation. This role involves prompt engineering, fine-tuning, and building agentic AI systems, RAG, and function calling to improve AI-driven customer interactions at scale. | Agent | 8 |
| Sr Engineer, Machine Learning Engineering Senior Engineer, Machine Learning to advance AI capabilities by designing, developing, and deploying LLMs and generative AI solutions. Focus on building scalable, production-grade AI systems for enterprise automation, personalization, and decision-making. Architect RAG and prompt orchestration pipelines, implement MLOps, and conduct fine-tuning and evaluation. Collaborate with cross-functional teams to integrate LLM-powered solutions. | AgentPost-train | 8 |
| Sr. AI Engineer Sr. AI Engineer at T-Mobile focused on architecting and optimizing advanced agentic AI systems for customer service. The role involves prompt engineering, fine-tuning, AI tooling, workflow design, and ensuring reliability, accuracy, and efficiency of AI models. It also includes supporting responsible AI controls and collaborating with cross-functional teams for seamless integration and issue resolution. | Agent | 8 |
| Principal GenAI Software Engineer This Principal GenAI Software Engineer role focuses on designing, implementing, and deploying scalable generative AI-enabled solutions, including LLM orchestration, agent creation, and RAG. The role involves providing technical leadership, establishing GenAI engineering standards, and influencing technology decisions to improve operational efficiency and customer experience. | Agent | 8 |
| Sr Data Scientist Senior Data Scientist role focused on applying ML techniques to business problems, covering the full ML lifecycle from problem framing to deployment and performance measurement. The role involves extracting and modeling complex data, delivering insights, mentoring junior team members, and collaborating with engineering teams to implement ML pipelines and production models. Requires experience in predictive modeling, data science, ML deployment, deep learning, and generative AI, with a focus on LLM fine-tuning. | Post-trainServe | 7 |
| Senior Data Science Engineer Senior Data Science Engineer at T-Mobile Advertising Solutions, focusing on building privacy-first advertising products using ML, large-scale data processing, and cloud technologies. The role involves leading end-to-end development of ML and data products, building scalable pipelines, applying statistical methods, writing production-quality code, and collaborating across teams. Requires experience in ML/DL deployment, MLOps, big data, and cloud platforms. | Serve | 7 |
| Sr Product Owner, Agentic AI This role is for a Senior Product Owner focused on Agentic AI within T-Mobile's AI organization. The primary responsibility is to own and govern the Agile team backlog, ensuring disciplined execution and delivery of AI-enabled product capabilities. The role requires strong technical acumen, backlog governance, and the ability to drive predictable, high-quality outcomes in complex AI initiatives. Success is measured by sprint velocity, backlog readiness, delivery predictability, and production-quality feature releases. | Agent | 7 |
| Sr Data Scientist Senior Data Scientist role focused on leading the application of ML techniques and statistical methods to solve business problems. Responsibilities include the full ML lifecycle from problem framing to deployment and performance measurement, with a focus on creating business value. The role involves mentoring junior team members and collaborating with engineering teams to implement ML pipelines and production models. | Serve | 7 |
| Principal AI Product Manager, Technical Principal AI Product Manager, Technical responsible for owning the strategy, roadmap, and lifecycle for enterprise AI products and reusable AI capabilities. This role focuses on driving measurable business outcomes, multi-year investment strategy, and ensuring alignment with business objectives and customer needs. The position involves deep customer research, market analysis, defining success metrics, and communicating with executive leadership. | Ship | 7 |
| Sr Engineer, Enterprise AI Senior Engineer, Enterprise AI at T-Mobile, focusing on designing, building, and scaling AI-powered applications and platforms using LLMs, RAG, and agentic AI frameworks. The role involves the full software development lifecycle, integrating with enterprise systems, and ensuring secure, reliable, and scalable AI solutions in production. | Agent | 7 |
| Sr Software Engineer, Agentic AI This role focuses on designing, developing, and deploying scalable software and Agentic AI solutions for intelligent customer engagement. The engineer will build AI-enabled applications, APIs, distributed services, and orchestration layers integrating LLMs, conversational AI, and enterprise systems. Responsibilities include developing multi-step AI workflows, agent-based systems, and contributing to cloud-native microservices and distributed systems for voice and text channels. | Agent | 7 |
| Sr Software Engineer, Agentic AI The Sr. Software Engineer, Agentic AI will design, build, and scale the core execution engine for T-Mobile's agentic AI experiences across mobile apps, web, and customer support channels (text and voice). This involves architecting and implementing systems for AI-driven decisioning, orchestration, and dynamic customer engagement at massive scale, integrating LLM reasoning with various T-Mobile systems. The role requires solving complex system design challenges to ensure safe and correct actions from model outputs and delivering a highly available platform. | Agent | 7 |
| Principal AI Product Manager, Technical Principal AI Product Manager, Technical responsible for owning the strategy, roadmap, and lifecycle for enterprise AI products and reusable AI capabilities. This role focuses on driving measurable business outcomes, managing product investment strategy, and collaborating with technical teams to deliver AI solutions that meet customer needs and business objectives. | Ship | 7 |