Sr Engineer, Commercial AI Forward Deployment

Location: Frisco, Texas

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees!

** This is not a remote position. T-Mobile is a hybrid work environment requiring work in the office three (3) days per week. The successful candidate will be located in either Seattle, Washington or Frisco, Texas areas.**

Job Overview

The Senior Engineer, Commercial AI Forward Deployment is an expert technical practitioner who embeds inside a T-Mobile business unit and operates with significantly greater autonomy than an Engineer FDE. Senior FDEs are the primary execution force: driving the technical agenda for net-new agentic AI delivery, mentoring Engineers co-deployed alongside them, and stepping in as acting domain lead when needed. This role bridges deep hands-on engineering with emerging leadership accountability.

Performance is measured on validated ROI outcomes for the domain and on the quality and impact of the delivery team supported. This role reports to the Manager or Sr Manager, Forward Deployment Engineer within the assigned domain.

Job Responsibilities

Technical Domain Leadership: Drive the technical agenda for net-new agentic AI delivery within the assigned business domain. Lead scoping and diagnostic sessions with BU stakeholders and TPMs to define requirements, map workflows, and assess data and integration readiness. Maintain trusted working relationships with BU managers and communicate delivery progress and milestones to domain stakeholders.

Agentic System Delivery & Iteration: Design and deliver net-new agentic AI solutions in live production environments. Implement system integrations, RAG pipelines, prompt orchestration layers, and multi-agent workflows tailored to BU-specific needs. Run controlled A/B experiments and document measured ROI impact.

System Integration & Data Engineering: Build integration layers connecting AI solutions to BU tools and data sources. Normalize BU-specific datasets for AI system consumption. Identify and close data quality gaps and feed domain-specific insights back to the practice through structured engineering handoffs.

FDE Team Mentoring: Mentor and technically guide Engineers co-deployed in the same domain. Provide code review, solution iteration feedback, and coaching on delivery standards. Support onboarding of new FDEs rotating into the domain and contribute to FDE practice methodology.

Practice Reporting & Contribution: Contribute to practice reporting cycles that support TPM-defined requirements and delivery planning. Document failure modes, edge cases, and performance gaps in a structured format. Participate in rotation planning and knowledge transfer sessions.

Bachelor's Degree Computer Science, Software Engineering, Data Science, or related technical field. Relevant equivalent experience accepted.

Additional Locations: Bellevue, Washington