Head of Platform Engineering, Enterprise AI

Set the technical direction for a model-agnostic, multi-tenant enterprise AI platform and establish the architecture, reliability, and operating foundations required for scale.

Build and lead a high-caliber platform organization.

Hire quickly at a high bar, develop the team, and create clear ownership across platform engineering, architecture, evaluation, and delivery.

Develop platform capabilities that support secure, observable, and reliable AI deployments across enterprise environments, including customer-controlled infrastructure where required.

Multi-tenant and self-hosted architecture expertise: Proven experience designing and operating platforms for enterprise customers, including self-hosted or customer-controlled deployments.

Hands-on LLM systems expertise: Direct experience with LLM orchestration, evaluation, serving, and fine-tuning, as well as the ability to contribute production code.

A track record of taking a platform from an internal tool to an externally licensed or deployable product.

Enterprise security and team leadership: Deep knowledge of enterprise security, identity, and hosting with regulated customers.