Senior Forward Deployed AI Engineer

Role Overview

• 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.
• 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.
• Compose skills and tools into role-appropriate bundles, scoped to what each team and function actually needs, not everything at once.
• Deploy tool bundles to ABAC groups, managing access so the right people get the right capabilities without overprovisioning.
• Partner with the Senior IT Engineers, Automation on integrations that span MCP and workflow automation, ensuring handoffs and shared patterns are consistent.
• Participate in design reviews for new MCP integrations to catch potential issues early and keep the ecosystem coherent.
• Teach and mentor IT team members as you go. Be the SMEs that help us understand and internalize this tech.

Requirements

• Hands-on experience building with MCP; configuring or authoring MCP servers, connecting tools, writing skills, and working with agentic frameworks.
• Strong SaaS API integration experience: REST, webhooks, OAuth, and the practical realities of connecting enterprise applications reliably.
• Understanding of ABAC, access control, and governance principles for AI/LLM deployments, including how to apply least-privilege in practice.
• Expertise working directly with non-technical stakeholders, understanding their needs, translating them into technical solutions, and maintaining the relationship through iteration.
• Demonstrated track record of driving tool adoption, developer enablement, or similar change; not just building things, but getting people to use them.
• Ability to write and maintain integration code (Python or similar). Comfortable authoring and debugging scripts, not just configuring UIs.
• 7+ years of experience in a systems integration, developer enablement, internal tooling, or closely related role.
• Strong communication skills; able to explain technical decisions and trade-offs clearly to audiences ranging from engineers to business leaders.
• Strong ability to get abstract or specific with stakeholders. Can whiteboard data flows, think creatively on the fly.
• Comfortable operating with high autonomy in a fast-paced environment while managing multiple concurrent integration projects.

Tech Stack

• Python

Benefits

• Competitive salary with generous annual cash bonus
• Equity grants
• Remote first work from home culture
• Flexible Time Off to help you rest, recharge, and connect with loved ones
• Generous parental leave
• Health, dental, and vision insurance (and above market employer contributions)
• 401k retirement savings plan
• Lifestyle Spending Account (LSA)
• Mental Health Support Solutions
• ...and more!