** 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
This is a forward-deployed principal architect who embeds directly with T-Mobile's B2B customers to design and build the end-to-end technical solution for the company's commercial AI products (Physical Edge AI and Data Products). The role translates real customer use cases into deployable architectures on T-Mobile's cellular network and edge platform, ISV ecosystem, and data-at-scale layer, carrying solutions from proof-of-concept through production. It blends deep solution architecture with hands-on delivery and direct customer engagement, making rapid technical trade-offs in the field rather than from a central function, and turning validated pilots into reusable reference architectures that scale across customers. Because these solutions are delivered over T-Mobile's network, deep working knowledge of cellular network and connectivity (5G, network slicing, and edge/MEC) is core to the role. It is distinguished from a central enterprise architect by its customer-embedded, build-oriented nature and its close partnership with the Product Management & AI Engineering, which productizes field learnings into the platform. Success is measured by validated customer pilots and the speed by which they are deployed, that convert to production and revenue.

Job Responsibilities

• Embed directly with B2B customers to design end-to-end solutions and build proofs-of-concept on T-Mobile's edge platform, ISV ecosystem, and data-at-scale layer (ingestion, fusion, fine-tuning, inference).
• Translate ambiguous customer use cases and requirements into deployable architectures that meet latency, accuracy, reliability, and cost targets.
• Make hands-on architectural and integration trade-offs in the field, iterating rapidly with customers and ISV partners.
• Build and integrate - prototype, wire up data/ML pipelines, and integrate third-party software; not solution design alone.
• Develop reusable reference architectures, integration patterns, and standards so proof-of-concept findings productize cleanly into the platform, partnering with AI Engineering.
• Serve as the primary technical point of contact across customer engagements, solution and PRD reviews, and the transition from pilot to production and revenue.
• Provide technical leadership and mentorship to forward-deployed engineers and deployment strategists on the engagement/POD teams.
• Also responsible for other duties/projects as assigned by business management as needed.

Education and Work Experience

Required:

• Bachelor's Degree and 7 years of related work experience OR a combination of education and experience deemed equivalent
• Working knowledge of cellular network and connectivity - 5G, network slicing, edge/MEC, and SIM provisioning and how they shape edge-AI solution design

Preferred:

• Acceptable areas of study include Computer Science, IT, Computer Engineering, Telecom Engineering or a related field
• 7-10 years dynamic experience as a forward-deployed engineer, solutions architect, or delivery consultant embedding directly with external customers to design and build technical solutions
• Hands-on experience building and deploying solutions - prototyping, data/ML pipelines, containerized/edge deployment (OpenShift/Kubernetes), and integrating third-party/ISV software
• Experience with edge computing, real-time inference, distributed systems, and AI/ML platforms; designing for latency, reliability, and cost at scale
• Experience taking solutions from proof-of-concept through production with external customers
• 2-4 years of supervisory or technical-leadership experience

Knowledge, Skills and Abilities

Required:

• Cellular Network & Connectivity - 5G, network slicing, edge/MEC, SIM provisioning
• Solution Architecture & Design
• Systems & Cloud Architecture
• Hands-on Software / Prototype Development
• Data & ML Pipeline Design (ingestion, fusion, fine-tuning, inference)
• Edge / Real-time Inference Architecture
• ISV /Third-party Integration
• Containerized & Edge Deployment (OpenShift / Kubernetes)
• Customer-facing Technical Communication & Presenting Solutions
• Requirements Gathering & Translating Use Cases into Architecture
• Stakeholder & Partner Relationship Management
• Rapid Technical Trade-off & Decision-making

Preferred:

• Agile / Iterative Delivery
• Commercial / pricing awareness for solution feasibility

Preferred Licenses and Certifications

• Cloud architecture certification (AWS / Azure / GCP)
• Kubernetes / container certification (CKA / CKAD)
• TOGAF or equivalent enterprise-architecture certification

#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

Base Pay Range: $126,700 - $228,500

Corporate Bonus Target: 20%

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=REQ362724¶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.

Never stop growing!
As part of the T-Mobile team, you know the Un-carrier doesn't have a corporate ladder-it's more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it's that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you're living our values while investing in your career growth-and we applaud it. You're unstoppable!