Sr Engineer, Commercial AI Forward Deployment

Job Title: Sr Engineer, Commercial AI Forward Deployment

Location: Bellevue, WA (Occasional travel to Bay Area)

Duration:  Long Term

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 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.

Education and Work Experience

·        Bachelor's Degree and 4 years of related work experience OR a combination of education and experience deemed equivalent  (Required)

·        Acceptable areas of study include Computer Science, Computer Engineering, Electrical Engineering, Data Science, Telecom Engineering, Robotics, or a related field  (Preferred)

·        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  (Preferred)

·        Experience in solutions engineering, deployment engineering, or forward-deployed roles with direct external customer exposure  (Preferred)

·        Track record of taking proof-of-concept or pilot systems into production with external customers, including work alongside systems integrators or multi-vendor teams  (Preferred)

Knowledge, Skills and Abilities

·        Production Software Development in Python, plus one of C++, Go, TypeScript, or Java  (Required)

·        Containerized and Edge Deployment (Kubernetes / OpenShift), CI/CD, and Observability  (Required)

·        Data and ML Pipelines (ingestion, fusion, fine-tuning, inference)  (Required)

·        Customer-facing Technical Communication  (Required)

·        Field Troubleshooting and Root Cause Analysis  (Required)

·        IoT and Device Integration: cameras, sensors, drones, robotics, autonomous systems  (Preferred)

·        Cellular Network and Connectivity: 5G, network slicing, edge/MEC, SIM/eSIM provisioning  (Preferred)

·        Edge and Orchestration Platforms such as AWS Outposts, Vantiq, or Spectro Cloud  (Preferred)

·        Agentic AI and Multi-agent Orchestration  (Preferred)

Licenses and Certifications

·        Cloud certification (AWS / Azure / Google Cloud Platform)  (Preferred)

·        Kubernetes certification (CKA / CKAD)  (Preferred)

·        FAA Part 107 Remote Pilot Certificate, for drone-related programs  (Preferred)