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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, ServiceNow), 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 Responsibility:
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., ServiceNow), 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%)
Requirements:
Bachelor's Degree plus 2 years of related work experience OR combination of education and experience deemed equivalent
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., ServiceNow, JIRA)
Database scripting or data pipeline work (e.g., MySQL)
Exposure to telecom, VoIP, IMS, or large-scale network environments