Principal Engineer, Commercial AI Forward Deployment
T-Mobile
- Location
- Hybrid (TX-Frisco II, Texas)
- Compensation
- $164k - $296k/yr
- Employment
- Full-time
- Level
- Senior Level
About the role
T-Mobile seeks a Principal Engineer to lead the end-to-end delivery of agentic AI solutions within assigned business domains. This role focuses on translating business requirements into production-ready AI systems, driving validated ROI, and mentoring technical teams.
Skills
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k)
- Paid time off
- Paid holidays
- Paid parental leave
- Short-term disability
- Long-term disability
- Life insurance
Perks
- Hybrid Work
- Stock grants
- Stock purchase plan
- Tuition assistance
- Mobile service discounts
- Home internet discounts
- Pet insurance
Full job details
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 Principal Engineer, Commercial AI Forward Deployment is T-Mobile's senior IC AI delivery leader on the FDE team. This role owns the end-to-end delivery of net-new agentic AI solutions within an assigned business domain from initial scoping through production optimization. Working within requirements defined by TPMs and BU stakeholders, the Principal FDE independently owns the domain relationship, sets the technical agenda for the FDE team in the domain, and mentors FDEs working alongside them. Leading without formal authority, this role builds trust with BU operations leaders and translates business requirements into agentic AI solutions in days, not quarters. Performance is evaluated exclusively on validated ROI targets for each domain assignment, not on activity, tickets, or deployments shipped. This role reports to the Sr Manager or Sr Director, Agentic Automation & FDE.
Job Responsibilities:
- Domain Ownership & BU Relationship: Full lifecycle ownership of net-new agentic AI delivery within the assigned domain from initial scoping through production optimization. Partner with TPMs and BU stakeholders to define requirements, map real workflows, and assess data and integration readiness. Build and maintain trust with BU operations leaders, managers, and end users. Present domain ROI outcomes and delivery roadmap to BU leadership quarterly.
- Agentic System Delivery & Iteration: Design and deliver net-new agentic AI solutions in live production environments. Architect and implement system integrations, RAG pipelines, prompt orchestration, and multi-agent workflows tailored to BU-specific needs. Run controlled A/B experiments in production cohorts to measure and document validated ROI impact. Instrument deployed systems with real-time logging and feedback collection for continuous improvement.
- System Integration & Data Engineering: Build and own integration layers connecting AI solutions to BU tools and data sources (CRM, billing, inventory, contract repositories). Normalize BU-specific datasets for AI system consumption. Identify and close data quality gaps that limit solution accuracy or reliability. Feed domain-specific insights back into the practice through structured engineering handoffs.
- FDE Practice Leadership: Mentor and technically guide FDEs co-deployed in the domain or adjacent domains. Contribute to FDE practice standards including engagement methodology, diagnostic frameworks, responsible AI review processes, and data security guidelines. File bi-weekly reports documenting failure modes, edge cases, and performance gaps. Participate in rotation planning and knowledge transfer for incoming FDEs.
- Strategic AI Delivery & Responsible AI: Serve as the technical accountability point for AI safety, data privacy, and responsible AI compliance within the domain. Ensure all delivered solutions meet T-Mobile's data governance and security standards, including CPNI and PII requirements. Partner with TPMs and practice leadership to translate domain delivery learnings into practice improvements. Represent FDE validated ROI outcomes in cross-functional senior leadership forums.
Required Education:
- Bachelor's Degree in Computer Science, Software Engineering, Data Science, or related technical field. Master's Degree preferred; relevant equivalent experience accepted.
Required Work Experience:
- 7-10 years Production engineering experience including 3+ years delivering LLM-based agentic systems: prompt engineering, RAG architecture, agent orchestration, system integrations. Track record of delivering AI solutions that measurably improved a business outcome metric in production. Demonstrated ability to work within TPM-driven requirements processes and translate business needs into technical delivery.
Preferrefd Work Experience:
- More than 10 years Prior experience in a solutions engineering, forward deployment, or embedded technical role at a high-growth AI or cloud company. Experience navigating complex stakeholder environments from frontline operators through C-suite. Background in enterprise technology adoption or change management.
Required Knowledge, Skills and Abilities:
- Python Engineering: 7+ years production Python (required), plus proficiency in at least one of Go, TypeScript, or Java. Architects complex agentic systems and reviews and guides others' technical designs.
- LLM System Architecture: Demonstrated hands-on expertise designing and deploying LLM-based production systems: prompt engineering, RAG architecture, agent orchestration, performance benchmarking, and hallucination mitigation at scale.
- Data Engineering & System Integration: Proficiency in complex SQL, ETL/ELT pipeline design, and architecture of system integrations connecting AI solutions to enterprise data sources at scale.
- Cloud-Native Deployment & MLOps: Docker, Kubernetes, CI/CD, infrastructure on AWS (primary) or Azure/GCP; vector database experience; MLOps: model versioning, A/B testing, monitoring, and observability.
- Stakeholder Leadership: Proven ability to lead technical delivery in ambiguous environments without formal authority. Adapts communication to frontline operators, middle management, and C-suite. Comfortable operating across enterprise business domains.
- Responsible AI & Data Governance: Designs and implements guardrails, security controls, and responsible AI review processes for all agentic solutions. Ensures compliance with T-Mobile's data privacy standards including CPNI and PII requirements. Serves as technical accountability point for AI safety and compliance within the domain.
#LI-Corporate
- 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
Total Target Cash Earnings Opportunity: $197,400 - $356,040National Base Pay Range: $164,500 - $296,700
The Total Target Cash Earnings Opportunity represents the expected total cash compensation for this role at target performance, combining base salary and annual incentive opportunity. Actual earnings may be higher or lower depending on individual performance and overall company results.
The base pay range reflects the compensation component of this opportunity. The 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. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ373526¶dox=1At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Corporate employees are eligible for a year-end bonus based on individual and/or company 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. The incentive component included in the Total Target Cash Earnings Opportunity reflects target performance. Actual earnings included in the Total Target Cash Earnings Opportunity reflect target performance; actual payouts may vary.
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.