Job description:

Location: US preferred but will accept any location.
Employment Type: Full-Time (if the candidate is working in a remote location or offshore they should work US hours.)
Experience Level: 3-5 years.
Candidate submissions should clearly identify the candidate's years of experience for each key requirement,

Expected Duration: Please see the job posting for the specific timeline.

Rate: Commensurate with experience, technical qualifications, and demonstrated expertise. When submitting candidates, include your proposed bill rate requirements.

Submission Requirements: Qualified candidate resumes, proposed bill rates, and experience qualifications should be submitted in Fieldglass no later than October 9th for initial consideration. Early submissions are encouraged as candidates may be reviewed on a rolling basis.

Position Overview

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 (GCP).

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, GCP, 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 & Preferred Skills

REQUIRED

STRONGLY PREFERRED

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

GCP 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

Engagement Deliverables & Success

Assess the current network setting and operational processes; prioritize automation and AI opportunities; and build and deploy high-value production solutions. Success will be measured by tangible improvements in network reliability, operational efficiency, visibility, proactive issue identification, and engineering productivity, while leaving the internal team with the code, documentation, frameworks, and knowledge needed to continue and expand the work after the engagement ends.

Enable Skills-Based Hiring: No
Worker Location: Anywhere
Go-Live Worker/SOW Input? No

Pay: Up to ₹2,400,000.00 per year

Application Question(s):

- Can you walk me through your experience with network automation? Which network tasks have you personally automated using Python, Ansible, or similar tools?
- How much hands-on experience do you have with Cisco technologies, particularly Cisco SD-WAN, Cisco routing/switching, and Cisco Meraki? Which of these have you worked with in production?
- Can you describe a network automation project where you used Python and REST APIs to integrate with a network device, monitoring platform, Cisco/Meraki platform, or cloud environment? What did you build and what was the outcome?
- What experience do you have with cloud networking, particularly Google Cloud Platform (GCP)? Have you worked with VPCs, routing, firewall policies, VPN/Interconnect, Cloud Monitoring, or Cloud Logging?
- Have you used Generative AI, LLMs, AI agents, Claude Code, or similar AI-assisted development tools for network/infrastructure automation or troubleshooting? If yes, please explain one practical use case you implemented.
- What is your desired pay rate?
- Can you join immediately?
- Email ID?

Work Location: Remote

📌 Network Automation & AI Engineer (India)
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📍 India