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)