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).
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 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 |