This role pays less than
60%
of similar roles. Most pay
$145,500–$233,400
— the shaded band above.
At the midpoint, this role pays about
$160k
versus about
$189k
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
89 open roles
on FindRole.
Listed pay typically runs
$118,700–$216,703
across 83 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 creating technical documentation like runbooks and deployment guides. The role requires proficiency in Python, Linux/Unix environments, Git, containers, CI/CD pipelines, and APIs. You will apply Machine Learning and Generative AI to improve operational decision-making and anomaly detection. This position addresses the challenge of modernizing telecommunications infrastructure through software-defined technologies, automation, and intelligent systems to enhance network reliability and scalability within complex OSS ecosystems.
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, telemetry, and datasets to perform root-cause analysis and improve platform performance.
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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