Principal Architect, Commercial AI FDE

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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 (Open Shift/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 (Open Shift / 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…