Engineer System Architecture AI Enabled Automation

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.

• 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

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

• 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)

• 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)

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 improvement opportunities and brings forward ideas rather than waiting for direction.

Travel Required:

Yes

DOT Regulated Position:
No. Safety Sensitive Position:
No

• At least 18 years of age
• Legally authorized to work in the United States

$78,800 - $142,100

15%

The pay range above is the general base pay range for a successful candidate in the role. The actual starting pay will vary within this range.

T-Mobile USA, Inc. is an…