This role pays less than
60%
of similar roles. Most pay
$148,000–$237,762
— the shaded band above.
At the midpoint, this role pays about
$160k
versus about
$193k
for comparable roles.
Based on 240 similar postings.
Employer
About AT&T
AT&T is a US-based telecommunications company providing wireless, broadband, and fiber internet service along with phone and connectivity products for consumers and businesses.
AT&T currently has
106 open roles
on FindRole.
Listed pay typically runs
$113,000–$215,800
across 100 roles with salary data.
As a Sr Specialist Member of Technical Staff (AI & Network Automation Engineer), you will join the team to develop, integrate, and validate enterprise platforms that power large-scale telecommunications networks. You will build AI-driven automation solutions, manage N/N+1 lab environments, and automate workflows for network provisioning, service delivery, and observability. Your daily work involves designing automated systems, performing root-cause analysis on telemetry data, and supporting the integration of infrastructure into operational platforms. To succeed, you must possess expertise in Python, Linux/Unix environments, Git, containers, and CI/CD pipelines. You will also apply knowledge of Machine Learning, Generative AI, and predictive analytics to solve complex problems in network lifecycle management. The role requires a deep understanding of OSS ecosystems, IP transport, and software-defined networking to improve reliability and operational efficiency across the telecommunications landscape.
Design, develop, and support AI-driven automation solutions to improve network operations and service delivery.
Build and maintain lab environments that replicate production network architectures for testing and validation.
Develop and enhance automation workflows using APIs, orchestration platforms, and enterprise systems.
Manage the onboarding of network infrastructure and services into automated operational platforms.
Analyze logs and telemetry data to perform root-cause analysis and resolve complex integration issues.
Implement AI and Machine Learning capabilities for predictive analytics, anomaly detection, and workflow optimization.
Create technical documentation including deployment guides, validation plans, and troubleshooting runbooks.
What we're looking for
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Telecommunications Engineering, Data Science, or a related technical discipline.
Experience working with telecommunications network environments including IP, transport, optical, wireless, or service delivery architectures.
Knowledge of OSS platforms, network lifecycle management, service provisioning, activation, inventory, assurance, and operational workflows.
Understanding of network automation, orchestration, controller-based architectures, and operational support systems.
Proficiency in Python or similar languages for automation, testing, and analytics.
Experience with APIs, microservices, distributed systems, and enterprise platform integrations.
Hands-on experience with Linux/Unix environments, Git, containers, CI/CD pipelines, and automation frameworks.
Knowledge of AI, Machine Learning, Generative AI, or advanced analytics solutions applied to operational use cases (preferred).
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