Senior Forward Deployed AI Engineer

Job Overview

The Senior Forward Deployed AI Engineer is a senior individual contributor who builds and expands Omada's MCP ecosystem, connecting SaaS tools and internal systems via MCP servers, writing skills, composing tool bundles for different teams, and deploying them to the right people. You are the bridge between what AI can do and what Omada's teams actually need it to do.

You will work directly with department champions across the company to understand their workflows, surface opportunities for AI-driven automation, and turn those opportunities into real, working integrations. Your daily question is: what new capability did I unlock for the company today?

This role sits on a small, high-impact team within IT that owns business process automation and agentic/AI-driven automation. You'll partner with Senior IT Engineers, Automation and work under the Senior Manager, IT Automation. We're hiring two people for this role.

You'll use Omada's MCP control plane, not as a system to babysit, but as the platform that lets you move fast and ship integrations safely. You build with security and governance in mind from the start because it's the right way to build, not because someone else is watching the dashboards.

And you'll document and socialize as you go, so the entire IT org understands this emergent technology and can multiply your impact throughout the organization.

Responsibilities

AI Enablement & Adoption

• Serve as the primary point of contact for department champions across Omada, working with them to understand their day-to-day workflows and identify where AI-assisted automation creates real leverage.
• Drive AI adoption across the company by deploying tool bundles that are actually useful, making sure integrations fit how teams work rather than asking teams to adapt to what's technically convenient.
• Run a continuous feedback loop: gather usage signals and qualitative input from champions, identify what's working and what's falling flat, and iterate accordingly.
• Build lightweight documentation, reference examples, and enablement materials that help non-technical stakeholders understand what's possible and how to request new capabilities.
• Represent the needs of end users and champions when making integration decisions; you are their voice in the build process.

MCP Integration & Build

• Integrate SaaS and internal applications with Omada's MCP ecosystem by building and configuring MCP servers, adding tools, and handling authentication patterns including OAuth and webhooks.
• Write skills that expose the right actions and data to AI agents in a clear, composable way.