• 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
• Also responsible for other duties/projects as assigned by business management as needed

• 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)

Knowledge, Skills and Abilities (Required):

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

Preferred / Differentiating (Physical & Edge AI context):

• 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

LI-Corporate

• At least 18 years of age
• Legally authorized to work in the United States

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees!

** 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 the greater Seattle, Washington area.**, DOT Regulated: DOT Regulated Position (Yes/No): No Safety Sensitive Position (Yes/No): No

Base Pay Range: $103,600 - $186,900

Corporate Bonus Target: 15%

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, ;paradox=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 ;br> 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!