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.

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, TypeScript, or Java). Architects robust agentic system components and writes code others can extend.
• LLM System Design: Demonstrated hands-on experience deploying LLM-based systems: prompt engineering, RAG architecture, agent orchestration, hallucination mitigation, and performance benchmarking.
• Data Engineering & Integration: Proficiency in complex SQL, ETL/ELT pipeline design, and experience building system integrations connecting AI solutions to enterprise and telecom data sources.
• Cloud-Native Deployment: Docker, Kubernetes, CI/CD, and infrastructure experience on AWS (primary) or Azure/GCP; able to instrument deployed systems with real-time logging and feedback collection.
• Technical Leadership Without Authority: Proven ability to lead technical delivery and mentor engineers in ambiguous environments; adapts communication to BU partners and leadership alike.
• Responsible AI & Data Security: Applies data privacy, security, and responsible AI principles in all system design and deployment decisions. Builds guardrails and compliance considerations into agentic solutions. Understands T-Mobile's data classification standards and handles sensitive data appropriately.
• Forward Deployment Mentality: Demonstrated ability to embed within a business unit, earn partner trust rapidly, and deliver working AI systems under real operational constraints, not in sandbox or lab environments.
• Comfortable operating in ambiguity without heavy process scaffolding.
• Stakeholder Translation: Ability to move fluidly between technical implementation and business communication, converting engineering tradeoffs into plain-language impact narratives for BU managers, and converting vague business asks into precise engineering requirements.
• Technical Leadership: Proven ability to lead technical delivery and mentor engineers in ambiguous environments; adapts communication to BU stakeholders and leadership alike.
• Rapid Prototyping & Production Readiness: Experience compressing the gap between proof-of-concept and production-grade delivery.
• Knows when a prototype is good enough to ship and how to harden it without full re-architecture.

• At least 18 years of age
• Legally authorized to work in the United States

Travel:
Travel Required (Yes/No): Yes

DOT Regulated:
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No

Base Pay Range: $142,300 - $256,700

Corporate Bonus Target: 15%

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 work location, qualifications, and experience, so the actual starting pay will vary within this range.

At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. 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. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ366295¶dox=1

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 access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile's amazing benefits, check out www.t-mobilebenefits.com.