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T-Mobile

Connects U.S. customers by phone and internet

Senior Engineer - Commercial AI Forward Deployment

AI Application EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A bachelor's degree and four years of related work experience, or an equivalent combination of education and experience; acceptable fields include Computer Science, Computer Engineering, Electrical Engineering, Data Science, Telecom Engineering, Robotics, or a related field.
  • Production software development experience in Python and at least one of C++, Go, TypeScript, or Java.
  • Knowledge of containerized and edge deployment using Kubernetes or OpenShift, CI/CD, and observability.
  • Knowledge of data and machine learning pipelines, including ingestion, fusion, fine-tuning, and inference.
  • Ability to communicate technical information in customer-facing settings.
  • Field troubleshooting and root cause analysis skills.
  • At least 18 years of age.
  • Legally authorized to work in the United States.

Responsibilities

  • Own the technical build for a customer deployment or workstream, from scoping 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 and turn requirements into implementation plans with clear latency, accuracy, and reliability targets.
  • 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 provide product owners with specific, evidence-based feedback on platform gaps.
  • Explain technical tradeoffs to customer stakeholders and 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.
  • Perform other duties or projects as assigned by business management.

Desired Qualifications

  • Four to seven years of professional engineering experience with hands-on work in at least one of IoT or edge systems, data science and machine learning pipelines, or cellular network engineering.
  • Experience in solutions engineering, deployment engineering, or forward-deployed roles with direct external customer exposure.
  • A track record of taking proof-of-concept or pilot systems into production with external customers, including work alongside systems integrators or multi-vendor teams.
  • Experience with IoT and device integration, including cameras, sensors, drones, robotics, or autonomous systems.
  • Experience with cellular networks and connectivity, including 5G, network slicing, edge/MEC, or SIM/eSIM provisioning.
  • Experience with edge and orchestration platforms such as AWS Outposts, Vantiq, or Spectro Cloud.
  • Experience with agentic AI and multi-agent orchestration.
  • Cloud certification in AWS, Azure, or GCP.
  • Kubernetes certification (CKA or CKAD).
  • FAA Part 107 Remote Pilot Certificate for drone-related programs.

About the Company

T-Mobile

Connects U.S. customers by phone and internet

T-Mobile runs a nationwide wireless network for consumers and businesses in the United States, selling mobile phone service and broadband internet access. Its flagship T-Mobile brand sits alongside prepaid brands Metro by T-Mobile and Mint Mobile, reaching customers with different budgets and payment preferences. Customers connect through phones or home internet gateways, while businesses buy connectivity for staff and connected equipment. Revenue comes from recurring service plans, wholesale network access, and sales of devices and accessories. Its operating roots date to 1994, and its headquarters are in Bellevue, Washington, and Overland Park, Kansas.

Company size
10,001+
Company stage
IPO
Headquarters
Bellevue, WA
Founded
1994

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