Sr. Solutions Architect, Physical AI

About the role

This role develops and owns end-to-end solution design strategies for T-Mobile's Physical & Edge AI business, addressing complex technical challenges across connectivity, edge/cloud compute, perception, and applications. Working within a vertically integrated team that takes Physical & Edge AI offerings from concept to commercialization, the role leads the creation of reference architectures and architectural artifacts and enforces design standards so solutions deploy reliably from T-Mobile's network edge. It collaborates with senior management, customers, ISV partners, and internal engineering teams to translate real-world physical-AI use cases (such as robotics, autonomous systems, connected machinery, and intelligent sensing) into cohesive, production-ready designs. Success is measured by the quality, consistency, and business alignment of solution designs and by their successful deployment from proof of concept through production.

Responsibilities

• 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
• Create and maintain architectural artifacts including diagrams, data models, and technical documentation to support solution implementation across customer, partner, and internal teams
• 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
• 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
• Implement design standards and processes to ensure quality, consistency, and compliance with organizational architecture guidelines
• Identify architectural gaps and define remediation strategies to improve solution efficiency and alignment with strategic goals

Requirements

Education and Work Experience:

• Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)
• 4-7 years related work experience (Required)
• 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 (Required)
• 4-7 years experience working in solutions design and enterprise architecture delivering technology solutions (Required)
• 4-7 years experience in enterprise applications, middle-tier services, database, storage, distributed computing, virtualization, and/or application technology (Required)

Skills and Abilities

• Architectural Review
• Business Architecture
• Cloud Architectures
• Presenting Solutions
• Solution Architecture
• Solutions Design
• Stakeholder Management
• Strategic Planning
• Systems Architecture
• Techical Requirements Gathering

Preferred / Differentiating

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

Pay Range

$103,600 - $186,900