Sr. Solutions Architect, Physical AI

T-Mobile T-Mobile · Telecom · Bellevue, WA +1

This role focuses on designing end-to-end solutions for Physical & Edge AI, specifically for use cases like robotics and autonomous systems. The architect will create reference architectures and ensure reliable deployment from the network edge, collaborating with various stakeholders to translate physical-world AI use cases into production-ready designs.

What you'd actually do

  1. Lead the development and ownership of end-to-end solution designs and reference architectures for Physical & Edge AI deployments, spanning connectivity (5G/MEC), the edge/cloud compute split, perception/inference, and safety/observability
  2. Create and maintain architectural artifacts including diagrams, data models, and technical documentation to support solution implementation across customer, partner, and internal teams
  3. Collaborate with senior management and technical teams to translate business requirements and physical-world use cases into technical solutions and align designs with platform and enterprise standards
  4. Lead technical engagements with customers, robotics/sensor OEMs, and ISV partners from proof of concept through production, including design review and production-readiness (QA) gates
  5. Implement design standards and processes to ensure quality, consistency, and compliance with organizational architecture guidelines

Skills

Required

  • Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience
  • 4-7 years related work experience
  • 4-7 years dynamic experience in software engineering/enterprise architecture/technology leadership across multiple products, systems and/or platforms, coupled with strong business acuity and executive presence
  • 4-7 years experience working in solutions design and enterprise architecture delivering technology solutions
  • 4-7 years experience in enterprise applications, middle-tier services, database, storage, distributed computing, virtualization, and/or application technology
  • Architectural Review
  • Business Architecture
  • Cloud Architectures
  • Presenting Solutions
  • Solution Architecture
  • Solutions Design
  • Stakeholder Management
  • Strategic Planning
  • Systems Architecture
  • Technical Requirements Gathering

Nice to have

  • Edge / 5G / MEC and low-latency distributed systems
  • Perception and edge inference (sensor fusion, computer vision)
  • Robotics / autonomous-systems middleware (e.g., ROS 2) or comparable real-time control systems
  • Computer Science, Robotics, or Electrical Engineering degree

What the JD emphasized

  • physical-AI
  • robotics
  • autonomous systems
  • edge inference
  • ROS 2

Other signals

  • develops and owns end-to-end solution design strategies for T-Mobile's Physical & Edge AI business
  • translates real-world physical-AI use cases (such as robotics, autonomous systems, connected machinery, and intelligent sensing) into cohesive, production-ready designs
  • lead the creation of reference architectures and architectural artifacts
  • enforces design standards so solutions deploy reliably from T-Mobile's network edge