Sr. Solutions Architect, Physical AI

T-Mobile

Hybrid

Quick summary

Work type: Hybrid
Location: WA
Salary: $103,600–$186,900 / yr
Posted: 7 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $209k

This role $145k

$85k most similar roles pay here $276k

This role pays less than 91% of similar roles. Most pay $172,800–$246,150 — the shaded band above. At the midpoint, this role pays about $145k versus about $209k for comparable roles.

Based on 240 similar postings.

Employer

About T-Mobile

T-Mobile US is the second-largest wireless carrier in the United States, providing wireless voice, messaging, and data services under the T-Mobile and Metro by T-Mobile brands. Industry: Wireless Telecommunications

T-Mobile currently has 25 open roles on FindRole.

Listed pay typically runs $109,500–$188,250 across 24 roles with salary data.

Most-posted roles

View all roles at T-Mobile

At a glance

TL;DR · Sr. Solutions Architect, Physical AI

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As a senior solution architect in T-Mobile's Physical & Edge AI business, you will lead the development and ownership of end-to-end solution designs for complex technical challenges across connectivity, edge/cloud compute, perception, and applications. You will collaborate with senior management, customers, ISV partners, and internal engineering teams to translate real-world physical-AI use cases into cohesive, production-ready designs, ensuring quality, consistency, and compliance with organizational architecture guidelines. This role requires 4-7 years of experience in software engineering, enterprise architecture, and technology leadership, along with expertise in cloud architectures, distributed computing, and edge/5G/MEC systems. Ideal candidates will have a background in robotics or electrical engineering and hands-on experience with ROS 2 middleware for real-time control systems.

Skills

Solution Architecture Cloud Architectures Edge Computing 5G MEC Distributed Systems Computer Vision ROS 2 Kubernetes CI/CD PostgreSQL AWS Azure Git Swagger Prometheus Grafana

What you'll do

Lead development and ownership of end-to-end solution designs for Physical & Edge AI deployments.
Create architectural artifacts like diagrams and technical documentation to support implementation across teams.
Translate business requirements into technical solutions by collaborating with senior management and engineering teams.
Implement design standards and processes to ensure quality, consistency, and compliance with organizational guidelines.
Identify architectural gaps and define remediation strategies to improve solution efficiency and alignment with strategic goals.

What we're looking for

4-7 years of experience in software engineering and enterprise architecture
Proven ability to develop end-to-end solution designs for complex technical challenges
Strong skills in architectural review, presenting solutions, and stakeholder management
Experience with cloud architectures, distributed computing, and virtualization technologies
Ability to lead technical engagements from proof of concept through production deployment
Knowledge of edge/5G/MEC systems and perception/inference technologies (preferred)
Degree in Computer Science, Robotics, or Electrical Engineering (preferred)

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