Senior AI-Driven Network Automation Engineer

GeorgiaTEK Systems Inc.; Ciudad de México; On-site; MXN 2,235,000 - 3,352,000; Full time

Job summary

GeorgiaTEK Systems Inc. is seeking a Senior Network Automation & AI Engineer to lead automation across our global infrastructure. You will design scalable automation, build AI-powered workflows, and enable self-healing capabilities to improve reliability and speed.

You will collaborate with Network, Cloud, Security, and Infrastructure teams to implement automation across on-prem and cloud environments, leveraging Python, IaC, and GenAI tooling.

Qualifications

• 5+ years of experience in Automation Engineering, Platform Engineering, Software Engineering, or Infrastructure Automation.
• Strong expertise in Python, REST APIs, Terraform, Ansible, Git/GitHub.
• Familiarity with GenAI technologies, Agentic AI frameworks, LLMs, MCP, LangChain, CrewAI, AutoGen, or similar platforms.

Responsibilities

• Design, develop, and maintain automation solutions using Python, APIs, Infrastructure-as-Code, and modern automation frameworks.
• Build and implement AI-powered workflows leveraging GenAI, Agentic AI frameworks, RAG architectures, and enterprise AI platforms.
• Automate provisioning, monitoring, troubleshooting, compliance validation, and remediation across network, cloud, and security environments.
• Partner closely with Network, Cloud, Security, and Infrastructure teams to identify and deliver automation opportunities.
• Develop integrations across enterprise platforms and operational tools.

Skills

Python

REST APIs

Terraform

Ansible

Git/GitHub

Automation engineering

GenAI

LLMs

LangChain

Job description

GeorgiaTEK Systems Inc. is seeking a Senior Network Automation & AI Engineer to lead automation across our global infrastructure. You will design scalable automation, build AI-powered workflows, and enable self-healing capabilities to improve reliability and speed.

You will collaborate with Network, Cloud, Security, and Infrastructure teams to implement automation across on-prem and cloud environments, leveraging Python, IaC, and GenAI tooling.