Sr Engineer, Commercial AI Forward Deployment

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** 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-Mobiles business customers and is the primary builder on a customer deployment or workstream. The role supports T-Mobiles 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 customers 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-Mobiles 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-Mobiles 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-Mobiles 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 escalate 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:

• Bachelors 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: $163645 - $295205

National Base Pay Range: $142300 - $256700

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.

The base pay range reflects the compensation component of this opportunity. The candidates 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. To find the pay range for this role based on hiring location 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 employees 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 dont 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-Mobiles amazing benefits check out.

Never stop growing!

As part of the T-Mobile team you know the Un-carrier doesnt have a corporate ladderits more like a jungle gym of possibilities! We love helping our employees grow in their careers because its that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity youre living our values while investing in your career growthand we applaud it. Youre 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.

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