Senior AI Forward-Deployment Engineer - Edge & Commercial

T-Mobile; Bellevue (WA); Hybrid; USD 165,000 - 297,000; Full time

Benefits offered by this job

Stock grant

Employee stock purchase plan

401(k)

Job summary

T-Mobile is seeking a Principal Engineer, Commercial AI Forward Deployment, to lead the most complex commercial AI engagements on our network, edge, and cloud platforms. You will embed with customer teams to convert ambitious use cases into working systems in edge compute and cloud environments.

You will write production code for high-risk components, guide data/ML pipelines, and help shape platform standards while coordinating with multiple teams and ensuring scalable deployments.

Qualifications

• Bachelor's degree in a related field with 7+ years of related work experience; Master’s degree a plus.
• Experience delivering production or pilot systems with IoT devices, cameras, sensors, robotics, drones, or autonomous systems.
• Experience with data science, ML, or big data platforms (e.g., Databricks, Snowflake) including model fine-tuning and evaluation.
• Working knowledge of cellular network fundamentals such as RAN architecture, network slicing, private networks, and SIM/eSIM provisioning.
• Experience leading technical work across multiple engineers or teams on ambiguous, customer-facing programs.

Responsibilities

• Serve as the lead technical engineer on the most complex customer engagements, setting the technical approach where no industry playbook exists.
• Write and ship production code on high-risk parts of each engagement (multi-sensor fusion, real-time edge inference, device/network integration, performance tuning).
• Own technical direction for the sensor and vision data‑at‑scale layer, including ingestion, fusion, fine-tuning, and training, built to platform standards.
• Make build decisions spanning workstreams, partnering with the Principal Architect and with Network RAN and Core teams on connectivity and edge compute.
• Define production-readiness criteria, evaluation methods, and operational standards for field deployments, and lead post-mortems for major incidents.

Skills

Production Software Development

Data and ML Pipeline Engineering

Edge and Real-time Inference Systems

Containerized Deployment (Kubernetes /

Customer and Executive Technical Comm

Technical Leadership Without Formal A

Education

Bachelor's Degree + 7 years of related work experience

Master's degree a plus

Tools

Kubernetes

OpenShift

Databricks

Snowflake

Job description

T-Mobile is seeking a Principal Engineer, Commercial AI Forward Deployment, to lead the most complex commercial AI engagements on our network, edge, and cloud platforms. You will embed with customer teams to convert ambitious use cases into working systems in edge compute and cloud environments.

You will write production code for high-risk components, guide data/ML pipelines, and help shape platform standards while coordinating with multiple teams and ensuring scalable deployments.