Engineer, System Architecture - AI Enabled Automation

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Job Overview

This role develops and enhances technical network and service architectures that support T-Mobile's voice and call routing ecosystem, including IMS and PSTN connectivity. The position focuses on embedding AI-enabled automation directly into production network workflows - improving how changes move from intake through implementation and closure. Responsibilities include designing scalable automation solutions using Python, APIs, data pipelines, and workflow tools (e.g., JIRA, Service Now), while ensuring secure, resilient, and reliable network performance.

The engineer interprets operational data, system outputs, and testing results to improve automation maturity and reduce manual intervention across the workflow lifecycle. Success is measured by measurable improvements in workflow completion time, system integration, documentation clarity, automation coverage, and overall service reliability.

Job Responsibilities:

Design and embed AI-enabled automation directly into network and service architectures

Develop practical AI and automation solutions that integrate into production systems supporting voice call routing, IMS platforms, and network change management processes.

Identify and implement automation use cases across the end-to-end workflow lifecycle

Bridge gaps between intake systems (e.g., JIRA), change management platforms (e.g., Service Now), and implementation processes to reduce manual steps and improve workflow completion time. Apply AI to accelerate analysis, decision-making, and deployment efficiency.

Partner with engineering, operations, and data teams to operationalize AI solutions

Collaborate within the Network Engineering organization to ensure automation solutions are production-ready, governed appropriately, documented clearly, and aligned with operational requirements.

Evaluate emerging technologies and improve existing network architectures

Assess tools, automation frameworks, and AI capabilities to recommend enhancements that improve scalability, observability, and resiliency of network systems.

Evaluate and enhance AI platforms, automation frameworks, and data pipelines

Design and implement solutions using scripting languages (e.g., Python), lightweight web frameworks (e.g., Flask), database technologies (e.g., MySQL), and APIs to support secure and scalable automation within the network ecosystem.

Define and track measurable performance metrics (10%)

Establish metrics that quantify workflow acceleration, automation coverage, resiliency improvements, and operational efficiency gains resulting from AI integration.

Education and

Work Experience:

* Bachelor's Degree plus 2 years of related work experience

OR combination of education and experience deemed equivalent (Required)

* Acceptable areas of study include Engineering, Computer Science (Preferred)

* 2-4 years Technical engineering experience (Preferred)

Preferred experience includes one or more of the following:

* Automation development using Python or similar scripting languages

* API development or integration (e.g., Flask or lightweight web frameworks)

* Workflow automation or ITSM integration (e.g., Service Now, JIRA)

* Database scripting or data pipeline work (e.g., MySQL)

* Exposure to telecom, VoIP, IMS, or large-scale network environments (not required but beneficial)

Knowledge, Skills and Abilities:

AI & Automation Architecture

Ability to design and implement automation solutions that incorporate AI as a practical operational capability. Includes understanding of machine learning fundamentals, prompt-assisted coding, automation frameworks, data pipeline requirements, and governance considerations.

Workflow Automation & Systems Integration

Experience improving end-to-end processes by linking intake, tracking, implementation, and closure systems through automation and APIs.

Analytical & Problem Solving

Ability to evaluate current-state processes, identify automation gaps, and design measurable improvements.

Technical Expertise

Demonstrated depth in scripting, automation, systems integration, or network engineering concepts.

Communication

Ability to clearly document technical processes, explain automation strategies, and collaborate effectively across engineering teams.

Teamwork

Ability and desire to work cooperatively within a long-standing engineering organization supporting critical network infrastructure.

Customer Focus

Understands the downstream customer impact of network changes and automation reliability.

Adaptability & Initiative

Comfortable working in evolving automation environments. Proactively identifies…