Sr Forward Deployment Engineer

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Are you ready to join the Un-carrier movement?

The Senior Engineer, Forward Deployment is an experienced technical practitioner who embeds within a T-Mobile business unit and operates with significantly greater autonomy than an Engineer FDE. Senior FDEs are the primary execution force: they drive the technical agenda for net-new agentic AI delivery, mentor Engineers co-deployed alongside them, and step in as acting domain lead when needed.

This role bridges deep hands-on engineering with emerging leadership accountability. Performance is measured by validated return on investment outcomes for the domain and by the quality and impact of the delivery team supported. This role reports to the Manager or Senior Manager, Forward Deployment Engineer within the assigned domain.

We pride ourselves on fostering a culture of innovation, advocating for agile methodologies, and promoting transparency in all that we do. Join us in embodying the spirit of the 'Un-carrier' and make a tangible impact! If you're up to the challenge, apply today!

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 return on investment 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.

* Owns and leads scoping sessions independently.

* Drives the technical agenda for the full domain.

* Communicates directly with BU managers and middle management on delivery progress and milestone accountability.

* Owns end-to-end solution architecture and delivery.

* Makes independent design decisions across the full agentic stack.

* Defines the framework and is accountable for measured return on investment outcomes.

* Designs the integration architecture.

* Defines reusable patterns for the domain.

* Leads the structured engineering handoff to the practice and makes final calls on data quality remediation approach.

* Owns domain-level reporting narrative.

* Synthesizes Engineer inputs into practice-level insights.

* Authors domain case studies and contributes to FDE playbook development.

Education and

Work Experience:

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

* 4-7+ years production engineering experience with demonstrated hands-on LLM deployment: prompt engineering, RAG architecture, agent orchestration. Validated ability to operate autonomously in ambiguous environments and deliver measurable AI outcomes. Experience building system integrations with enterprise data sources. (Required)

* 7-10+ years prior experience in solutions engineering, embedded technical, or forward deployment role. Track record of delivering AI solutions that measurably improved a business outcome metric. Experience navigating stakeholder environments from BU operators to middle management. (Preferred)

Required

Knowledge, Skills and Abilities:

* Python Engineering:
Strong production Python; proficiency in at least one additional language (Go, Type Script, or Java). Architects robust agentic system components and writes code others can extend.

* LLM System Design:
Demonstrated hands-on…