Applied AI Security Engineer

Waabi , founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis.

Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way.

To learn more visit: Waabi is leaning into an AI-native strategy — not just in our trucks, but in how we build, ship, and operate every day. Our teams leverage key AI tools to enhance productivity and efficiency, continuously expanding AI integration across our systems and workflows.

That's a huge unlock, and it's moving fast. We're looking for someone to make sure it keeps moving fast safely — by establishing the guardrails and collaborating on the implementation of sandboxes and automations that let people adopt AI with confidence instead of second-guessing themselves.

You'll join a small, sharp security team and take primary ownership of AI security controls and considerations across the company. If you've got a developer's instincts, a security mindset, and you're genuinely curious about what these tools can and can't be trusted to do, this role is built around you. You will...

Audit how AI tools and MCP integrations are currently used across the company, and map where they touch sensitive systems, data, or credentials for the purpose of defining policy.

Design and implement layered guardrails - enterprise-level system prompts, scoped permissions, sandboxing patterns - that constrain AI behavior before it ever reaches a user's request.

Maintain an inventory of both MCP servers and AI-to-service connections and their data access controls, with a clear model of what each one can access and why. Partner directly with users across the organi