Sr. Director, Agentic AI, Automation & FDE

Sr. Director, Agentic AI Automation & FDE

T-Mobile is in pursuit of exceptional talent to join our executive team. We're committed to excellence and innovation, and we are on the lookout for a leader who can steer our company towards new heights of success. In this pivotal role, you will be responsible for driving strategic initiatives and leading a talented team of professionals. The ideal candidate will possess a proven track record of success, demonstrating a keen ability to navigate complex challenges and capitalize on emerging opportunities.

As a key member of our executive team, you will play a crucial role in shaping and executing our organizational strategy and contributing to our continued growth and market leadership. Join us in our commitment to driving innovation, inspiring collaboration, fostering a positive company culture, and achieving unparalleled success.

The Sr. Director, Agentic AI Automation & FDE is T-Mobile's internal evangelist for Agentic AI and the leader responsible for pushing AI into every department of the company and has a primary focus on back-office functions including supply chain, finance, legal, HR, and all corporate functions. This role builds and leads the Forward Deployment Engineering practice, embedding specialized AI engineers directly inside business units to make AI real in every part of the enterprise, not just in centralized platform teams.

The role holds direct accountability for business unit outcome metrics, owns the FDE operating model and performance framework, and serves as T-Mobile's primary relationship holder with key AI technology partners Google, Anthropic, and OpenAI. It reports directly to the SVP, Enterprise Transformation & AI, and leads a cohort of Forward Deployment Engineers across US and India with a mandate to scale.

The Experience You'll Bring

• Bachelor's Computer Science, Engineering, or a related field (Required).
• 10+ years of experience in technology leadership with progressive experience in AI engineering applied ML, or enterprise digital transformation.
• 7-10+ years of experience in people leadership managing technical teams including senior engineers and team leads.
• 2-4 years hands-on experience with Agentic AI systems, LLM deployment, RAG architecture, or multi-agent orchestration in production environments.

Enough about what you've done. Let's talk about who you are.

• Deep understanding of Agentic AI system design, prompt orchestration, LLM integration patterns, and production AI reliability.
• Familiarity with operations in at least two of the target domains: care, retail, B2B, supply chain, finance, HR.
• Ability to define, instrument, and report on business outcome metrics tied to AI deployment not activity or deployment milestones.
• Demonstrated ability to lead technical delivery in ambiguous, operational environments without formal authority.
• Ability to translate AI field performance and domain outcome data for SVP and ELT audiences.
• Track record of building and scaling a new technical practice, center of excellence, or field engineering function.

• At least 18 years of age

• Legally authorized to work in the United States

T-Mobile requires U.S. citizenship for certain roles within the organization. This role requires U.S. citizenship. Individuals hired into this role will be required to submit documentation proving U.S. citizenship within the first 7 days of hire - failure to do so will result in termination.

Base Pay Range: $259,300 - $350,800

Corporate Bonus Target: 35%

The pay range above is the general base pay range for a successful candidate in the role. The successful candidate's actual pay will be based on various factors, such as qualifications and experience, so the actual starting pay will vary within this range. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee's eligible earnings in the prior year.

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…