Senior AI Integrations Engineer

Role Overview

Everyone's talking about AI agents. Almost no one is building the plumbing that makes them actually work. That's this job. Our Client, a heavyweight in OT/ICS cybersecurity, has business teams shipping no-code AI agents across the company. Those agents are only as good as what they can reach: clean warehouse data, secure system connections, APIs that don't fall over. You're the engineer who builds that layer. Model Context Protocol (MCP) servers. Production APIs into CRM and ERP systems. A Google Cloud architecture built on Vertex AI that scales. This is leverage, not maintenance. Every connector you ship gets reused across dozens of agents and hundreds of users. When a business team hits the wall of what no-code can do, you're the person they call. And you're the one who turns their prototype into production. Build and maintain MCP servers that expose internal systems, data, and tools to AI platforms: secure, governed, and logged Design and ship REST APIs that agents call to read from and write to CRM, ERP, and other systems of record Own the backend AI architecture on Google Cloud: Vertex AI, Agent Builder, Apigee, Cloud Run, Workflows Build the data pipelines that keep the warehouse stocked with clean, structured, AI-ready data Turn business users' agent prototypes into production-grade workflows, with authentication, authorization, observability, and data governance baked in

The Mission

Relevant Skills and Experience