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.
Sr Specialist Member of Technical Staff (AI & Network Automation Engineer) joins the team to develop, integrate, and validate enterprise platforms that power large-scale telecommunications networks. This role focuses on building intelligent automation solutions for network provisioning, service delivery, and autonomous operations while managing N/N+1 lab environments for testing and feature validation. The engineer will design AI-driven workflows, perform root-cause analysis using telemetry data, and support the integration of machine learning and generative AI into operational decision-making processes. Key technical requirements include proficiency in Python, Linux/Unix systems, Git, containers, and CI/CD pipelines. Candidates must possess expertise in OSS ecosystems, IP transport, and network orchestration. The role addresses the challenge of modernizing telecommunications infrastructure through software-defined technologies, ensuring high reliability and scalability across complex service delivery architectures and automated inventory management workflows.
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.
Support the onboarding of network infrastructure and services into automated operational platforms.
Analyze logs, telemetry, and event data to perform root-cause analysis and resolve integration challenges.
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, Linux/Unix environments, Git, containers, and CI/CD pipelines.
Knowledge of AI, Machine Learning, Generative AI, and advanced analytics solutions applied to operational use cases.
Experience supporting telecommunications service providers or large-scale enterprise networks (preferred); experience with SDN or cloud-native platforms (preferred).
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