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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Specialist Member of Technical Staff (AI & Network Automation Engineer) - **Company:** AT&T Inc. - **Location:** Plano, TX, United States - **Experience:** Expert - **Salary:** $128,100.0 - $192,100.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Automation of Tests, Computer Programming, Computer Engineering, Data Systems, Distributed Systems, Interoperability, Python (Programming Language), Log Analysis, Machine Learning, Network Architecture, Operational Data Store, Software Engineering, Enterprise Software Applications, Computer Network Operations, Cloud Platform System, Generative AI, Git, Kubernetes, Information Technology, SDN Network, Enterprise Integration, Open Network Automation Platform, Microservices - **Published:** September 30, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c36a2ca35633b4a2 ## About the Role * 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. * Familiarity with network observability, telemetry, monitoring, and performance management solutions. Software Engineering & Automation * Strong programming skills in Python or similar languages used 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. * Experience developing, testing, and maintaining scalable software-based solutions. AI & Data Technologies * Knowledge of AI, Machine Learning, Generative AI, intelligent automation, or advanced analytics solutions. * Experience applying AI to operational use cases such as automation, anomaly detection, predictive analytics, or workflow optimization., * Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Telecommunications Engineering, Data Science, or a related technical discipline. Equivalent combination of education and relevant experience may be, * Experience supporting telecommunications service providers, network operators, or large-scale enterprise network environments. * Experience with OSS modernization, network transformation, cloud-native platforms, or autonomous network initiatives. * Exposure to software-defined networking (SDN), network orchestration, observability platforms, and AI-powered operations. * Ability to bridge telecommunications domain expertise with software engineering and AI-driven automation. ## Description * Design, develop, test, and support AI-driven automation solutions that improve network operations, service delivery, and operational efficiency. * Develop and enhance automation workflows leveraging APIs, orchestration platforms, enterprise systems, and AI technologies. * Validate inventory synchronization, service orchestration, workflow execution, telemetry collection, and platform integrations. Develop & Validate Operational Platforms * Build, deploy, and maintain N/N+1 lab environments supporting telecommunications platforms, automation systems, and OSS ecosystems. * Create realistic test environments that replicate production network architectures and operational workflows. * Support software upgrades, feature validation, interoperability testing, and operational readiness initiatives., * Support onboarding of network infrastructure, applications, and services into automation and operational platforms. * Validate provisioning, activation, assurance, inventory management, and lifecycle management workflows. * Ensure connectivity, configuration accuracy, and operational data integrity across systems. Drive Troubleshooting & Operational Intelligence * Analyze logs, telemetry, events, and operational datasets to identify issues and improve platform performance. * Perform root-cause analysis and collaborate across engineering teams to resolve complex integration challenges. * Contribute to observability, monitoring, and operational intelligence initiatives., * Support development of AI, Machine Learning, and Generative AI capabilities that enhance operational decision-making. * Contribute to intelligent automation initiatives involving: Test Automation Predictive Analytics Log Analysis Event Correlation Anomaly Detection Workflow Optimization * Evaluate emerging technologies that improve automation, visibility, and network operations. Create Technical Documentation & Best Practices * Develop deployment guides, validation plans, onboarding procedures, architecture documentation, troubleshooting runbooks, and operational standards. * Share knowledge and contribute to engineering excellence across teams. What You'll Bring: * Passion for solving complex operational challenges through AI, software engineering, and automation. * Strong understanding of telecommunications network operations and modern OSS ecosystems. * Experience collaborating across software engineering, network architecture, operations, and platform teams. * Ability to translate business and operational requirements into scalable automation solutions. * Strong analytical, troubleshooting, documentation, and communication skills. * Curiosity to evaluate emerging AI and automation technologies that improve operational outcomes. * A mindset focused on innovation, continuous improvement, and operational excellence. ## Related Videos - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [The Software Engineer 2030: From Coder To AI Orchestrator? - Patrick Schnell](https://www.wearedevelopers.com/videos/1825-the-software-engineer-2030-from-coder-to-ai-orchestrator-patrick-schnell) - [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated)