T-Mobile
Telecom · Telecom
- HQ
- Bellevue, US
- Founded
- 2001
- Size
- 35,000+
- Website
- t-mobile.com
Telecom · Telecom
T-Mobile currently has 9 active AI-related roles in our index. The most common open titles are: Principal Analyst - Business Intelligence, Legal Affairs, Principal Data Scientists, Principal Engineer, Software - Enterprise Automation (RPA & AI), Principal GenAI Software Engineer, Product Manager, Technical. Most positions are in Engineering and Product.
T-Mobile's active AI hiring is concentrated in: agents (56%), application (33%), 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, inference infra, model serving, vision, embodied ai.
In the past 30 days, T-Mobile has posted 11 new AI-related roles.
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 56% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $114k–$241k (avg $174k).
| Title | Stage | AI score |
|---|---|---|
| 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 |
| 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 |