Sr Engineer, Commercial AI Forward Deployment

T-Mobile; Bellevue (WA); Hybrid; USD 142,000 - 295,000; Full time

Job summary

T-Mobile is seeking a Sr Engineer, Commercial AI Forward Deployment to embed with business customers and deliver production-grade AI/edge deployments. You will build, test, and deploy across cameras, sensors, drones, and autonomous systems on T-Mobile's edge platform.

Responsibilities include leading customer discovery, designing data pipelines, and delivering reusable components. Requires strong Python and Kubernetes/OpenShift experience, plus cloud and AI deployment skills.

Qualifications

• Production software development in Python, plus one of C++, Go, TypeScript, or Java.
• Containerized and edge deployment with Kubernetes/OpenShift, CI/CD, and observability.
• Data and ML pipelines (ingestion, fusion, fine-tuning, inference).
• Customer-facing technical communication and field troubleshooting.
• Experience with IoT/edge, cellular networks, or related domains is a plus.

Responsibilities

• Own the technical build for a customer deployment from scoping to deployment and handoff.
• Write and ship production code for device integrations, data pipelines, and ISV integrations on edge.
• Lead technical discovery with customer teams and translate requirements into plans.
• Integrate solutions with network and edge infrastructure; coordinate with RAN and Core teams.
• Manage Day 0 to Day 2 deployment activities, including testing and incident analysis.
• Package work into reusable blocks for the shared library and provide product feedback.
• Explain tradeoffs and risks clearly to customers and internal teams; escalate early.
• Mentor engineers through code reviews and delivery standards.

Skills

Python development

C++

Go

TypeScript

Java

Kubernetes/OpenShift

CI/CD

Observability

Data pipelines

ML pipelines

Customer-facing communication

Root cause analysis

Education

Bachelor's degree + 4 years experience

Tools

Cloud certifications (AWS/Azure/GCP)

Kubernetes certifications (CKA/CKAD)

FAA Part 107 Drone certificate

Job description

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 either Seattle, Washington or Frisco, Texas areas.

Job Overview

The Sr Engineer, Commercial AI Forward Deployment is an experienced engineer who embeds with T-Mobile's business customers and is the primary builder on a customer deployment or workstream. The role supports T-Mobile's commercial AI programs. Responsibilities include supporting Kinetic Edge AI (KEAI) and the broader Physical AI program, but are not limited to them, and will extend to AI applications T-Mobile sells to business customers. Senior FDEs take a solution from the catalog, or a new design from the architect, and make it work in the customer's world: integrating devices such as cameras, sensors, drones, AMRs, and autonomous vehicles; building the sensor and vision data pipelines, fine-tuning, and inference services behind them; integrating ISV software; and deploying all of it over T-Mobile's network and edge. Physical AI work combines hardware, software, cellular networking, and AI in a single deployment, so the role calls for depth in at least one of these areas and working range across the others. The Sr Engineer writes and ships production code, reviews the code of Engineers on the engagement, and operates with significantly more autonomy than an Engineer. Success is measured by working deployments delivered into customer environments, time from kickoff to a working deployment, production stability after go-live, and the reusable components each engagement leaves behind.

Job Responsibilities

• Own the technical build for a customer deployment or workstream, from scoping the customer-specific changes through deployment, testing, and handoff to steady state.
• Write and ship production code for device integrations, sensor and vision data pipelines, model fine-tuning and evaluation, inference services, and ISV integrations on T-Mobile's edge platform.
• Lead technical discovery for the workstream with customer engineering teams, turning requirements into implementation plans with clear targets for latency, accuracy, and reliability
• Integrate solutions with T-Mobile's network and edge infrastructure, working with Network RAN and Core engineering on connectivity, network slicing, SIM/eSIM provisioning, and edge compute capacity.
• Run Day 0 to 2 deployment and operations for the workstream, including regression testing, observability, incident triage, and root cause analysis of field issues.
• Package customer-specific work into reusable blocks for the shared library, and give product owners specific, evidence-based feedback on platform gaps.
• Explain technical tradeoffs clearly to customer stakeholders and to T-Mobile business and marketing teams, and elevate risks such as hardware lead times, site access, or network readiness early.
• Mentor Engineers on the engagement through code review, pairing, and delivery standards.
• Also responsible for other duties/projects as assigned by business management as needed.

Required Education

• Bachelor's Degree and 4 years of related work experience OR a combination of education and experience deemed equivalent. Acceptable areas of study include Computer Science, Computer Engineering, Electrical Engineering, Data Science, Telecom Engineering, Robotics, or a related field

Preferred Work Experience

• 4-7 years of professional engineering experience with hands‑on work in at least one of: IoT or edge systems, data science and ML pipelines, or cellular network engineering
• Experience in solutions engineering, deployment engineering, or forward‑deployed roles with direct external customer exposure
• Track record of taking proof‑of‑concept or pilot systems into production with external customers, including work alongside systems integrators or multi‑vendor teams

Required Knowledge, Skills and Abilities

• Production Software Development in Python, plus one of C++, Go, TypeScript, or Java
• Containerized and Edge Deployment (Kubernetes / OpenShift), CI/CD, and Observability
• Data and ML Pipelines (ingestion, fusion, fine‑tuning, inference)
• Customer‑facing Technical Communication
• Field Troubleshooting and Root Cause Analysis

Preferred Knowledge, Skills and Abilities

• IoT and Device Integration: cameras, sensors, drones, robotics, autonomous systems
• Cellular Network and Connectivity: 5G, network slicing, edge/MEC, SIM/eSIM provisioning
• Edge and Orchestration Platforms such as AWS Outposts, Vantiq, or Spectro Cloud
• Agentic AI and Multi‑agent Orchestration

Preferred Licenses and Certifications

• Cloud certification (AWS / Azure / GCP)
• Kubernetes certification (CKA / CKAD)
• FAA Part 107 Remote Pilot Certificate, for drone‑related programs

#LI-Corporate

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

Travel

Travel Required (Yes/No): Yes

DOT Regulated

DOT Regulated Position (Yes/No): No

Safety Sensitive Position (Yes/No): No

Total Target Cash Earnings Opportunity

Total Target Cash Earnings Opportunity: $163,645 - $295,205National Base Pay Range: $142,300 - $256,700

The Total Target Cash Earnings Opportunity represents the expected total cash compensation for this role at target performance, combining base salary and annual incentive opportunity. Actual earnings may be higher or lower depending on individual performance and overall company results.

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. Corporate employees are eligible for a year‑end bonus based on individual and/or company 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. The incentive component included in the Total Target Cash Earnings Opportunity reflects target performance. Actual earnings included in the Total Target Cash Earnings Opportunity reflect target performance; actual payouts may vary.

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 www.t-mobilebenefits.com.

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!T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, genetic information, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing [e-mail] or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non‑accommodation related requests.