Network Engineer with AI / ML(US Citizen or Green Card Only)

Network SMEs will collaborate with data science and artificial intelligence researchers to hand-write diagnostic steps, solutions, and expert recommendations for diagnosing and resolving complex network problems. SMEs will leverage their deep knowledge of enterprise network troubleshooting, familiarity with industry-leading tools (e.g., Cisco Meraki, ThousandEyes, Splunk), and expertise in using command line interface (CLI) diagnostics to ensure that model outputs are accurate, actionable, and relevant. SMEs will contribute authoritative training and evaluation sets, document recommended actions and provide impact statements to further inform model development.

Required Skills :

• Expert-level knowledge of enterprise networking : Deep understanding of Cisco routing and switching products, with a focus on large-scale campus and enterprise networks.
• Extensive troubleshooting experience : Demonstrated experience diagnosing and resolving complex network issues, including root cause analysis and multi-vendor environments.
• Proficiency with CLI diagnostics : Expert knowledge of Cisco CLI, including the use of "show" commands and other diagnostics for problem investigation.
• Experience with network monitoring and analytics platforms : Hands-on experience with tools such as Cisco Meraki, ThousandEyes, and Splunk for monitoring, troubleshooting, and performance analysis.
• Experience documenting technical solutions : Strong ability to create detailed methods of action, recommendations, and impact statements for network problems and proposed solutions.
• Familiarity with automation and scripting : Working knowledge of Python and automation frameworks (e.g., Ansible, Terraform) for interacting with APIs and automating network tasks.
• Experience with software defect analysis : Familiarity with identifying software-related network issues and evaluating the impact of software bugs and vulnerabilities.
• Experience with training / evaluation data creation : Ability to design, curate, and annotate realistic problem scenarios and training examples for use in ML and GenAI model development.

Deep domain expertise in enterprise networking and troubleshooting is required to properly assess the accuracy and effectiveness of model-generated recommendations and diagnostic outputs. SMEs will provide authoritative evaluation and gold-standard examples to train and validate models, ensuring relevance to real-world network operations and support scenarios.

Services and Deliverables