Network Automation & AI Engineer

Network Automation & AI Engineer

Location: Remote

Duration: 12+ Months

We are seeking an experienced Network Automation & AI Engineer for a contract engagement supporting a large-scale global enterprise network. This hands-on role will use network automation, AI, analytics, and cloud technologies to improve how the network is operated, monitored, troubleshot, and managed.

Environment: approximately 7,650 retail locations across the U.S., Mexico, and Brazil, plus corporate facilities and distribution centers. Core technologies include Cisco SD-WAN, Cisco routing and switching, Cisco Meraki wireless, and Google Cloud Platform (Google Cloud Platform).

Objective: move Network Engineering and Operations from manual, reactive processes toward automated, proactive, exception-based network management. This is not a traditional NOC role or a pure software-development position; the ideal candidate combines strong enterprise networking knowledge with practical automation, cloud, and AI development skills.

Key Responsibilities

• Identify and automate repetitive, high-volume Network Engineering and Operations activities.
• Build production-ready automation for configuration, validation, monitoring, troubleshooting, remediation, and reporting.
• Integrate Cisco, Meraki, Google Cloud Platform, monitoring-platform, and other enterprise APIs into automation workflows.
• Develop proactive exception-management capabilities that identify poorly performing locations, circuits, devices, wireless environments, and cloud connections.
• Analyze and correlate telemetry, alarms, logs, configurations, incidents, and performance data to surface meaningful issues and reduce alarm noise.
• Apply generative AI/LLMs to troubleshooting, configuration and incident analysis, documentation, and operational decision support.
• Use Claude Code or comparable AI-assisted development tools to accelerate scripting, API integration, testing, documentation, and automation development.
• Develop network-health reporting, anomaly detection, configuration/compliance validation, and safe automated remediation for appropriate low-risk conditions.
• Document solutions and transfer code, frameworks, practices, and knowledge to the internal Network Engineering team.

Required Skills

• Enterprise networking: routing, switching, WAN/LAN/WLAN, BGP, OSPF, TCP/IP, DNS, DHCP, VPNs
• Cisco routing/switching, Cisco SD-WAN, and Cisco Meraki
• Python, REST APIs, JSON/YAML, Git, and network automation frameworks
• Ansible or similar automation technologies
• Network telemetry, monitoring platforms, SNMP, syslog, APIs, and operational data
• Cloud networking and hybrid enterprise/cloud architectures
• Production automation at enterprise scale with appropriate validation and controls

Strongly Preferred Skills

• Google Cloud Platform networking and APIs, including VPCs, routing, firewall policies, VPN/Interconnect, Cloud Monitoring, and Cloud Logging
• Claude Code or similar AI-assisted development tools
• Generative AI, LLMs, AI agents, anomaly detection, or ML applied to infrastructure/operations
• Large geographically distributed enterprise networks
• Dashboards, health scores, proactive monitoring, or exception-management solutions