Senior AI-Driven Network Automation Engineer

Cricket Wireless LLC.; Middletown (NJ); Hybrid; USD 128,000 - 192,000; Full time

Job summary

AT&T seeks a Sr Specialist Member of Technical Staff to lead AI-driven automation and network operations. You will design, implement, and validate intelligent automation across provisioning, service delivery, and observability in large-scale telecom environments.

Strong Python, API, and automation engineering skills are essential, along with experience in Linux, Git, containers, and CI/CD. Collaboration with cross-functional teams will drive innovative operational platforms at scale.

Qualifications

• Bachelor's degree in a technical field or equivalent experience
• Strong programming skills in Python or similar languages used for automation
• Experience with APIs, microservices, distributed systems, and enterprise platform integrations
• Hands-on experience with Linux/Unix environments, Git, containers, CI/CD pipelines

Responsibilities

• Build AI-driven automation solutions that improve network operations and service delivery
• Develop and validate automation workflows leveraging APIs, orchestration platforms, and AI technologies
• Validate provisioning, activation, inventory, and lifecycle management workflows across systems
• Analyze logs, telemetry, and events to identify issues and improve platform performance
• Create technical documentation and best practices for deployment and operation

Skills

Python programming

APIs

Automation

CI/CD

Linux/Unix

Git

Containers

Distributed systems

Education

Bachelor's degree in CS/CE/EE/Telecom/Data Science

Tools

Docker

Kubernetes

REST APIs

Job description

AT&T seeks a Sr Specialist Member of Technical Staff to lead AI-driven automation and network operations. You will design, implement, and validate intelligent automation across provisioning, service delivery, and observability in large-scale telecom environments.

Strong Python, API, and automation engineering skills are essential, along with experience in Linux, Git, containers, and CI/CD. Collaboration with cross-functional teams will drive innovative operational platforms at scale.