Director, AI Engineering

Who are we?Equinix is the world's digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.A place where tech thinkers and future builders turn bold ideas into breakthrough experiences, we welcome your unique perspective.Help us challenge assumptions, uncover bias, and remove barriers-because progress starts with fresh ideas. You'll find belonging, purpose, and a team that welcomes you-because when you feel valued, you're empowered to do your best work.Job SummaryWe are seeking a Director of AI Engineering to lead and scale a high-performing Machine Learning Engineering (MLE) organization. This leader will be responsible for building production-grade AI/ML systems that power next-generation generative and predictive capabilities across the enterprise. The role combines deep technical leadership, organizational scale, and strong business alignment to translate AI innovation into measurable impact.Reporting to Yang Song within Digital and Innovation Office, this role will work closely with the Data & Engineering team around technology and development. This is a hands-on technical leadership role responsible for building and scaling production-grade AI systems.This role is critical to transforming AI from experimentation into a scalable, enterprise capability. You will define how AI is built, deployed, and leveraged across the organization-unlocking faster decisions, smarter automation, and sustained competitive advantage.ResponsibilitiesLead and Scale the MLE OrganizationBuild, lead, and mentor a global team of Machine Learning Engineers and technical leadersEstablish a high-performance engineering culture focused on quality, velocity, and accountabilityDrive hiring, onboarding, and career development for MLE talent across regionsDeliver Production-Grade AI/ML SystemsOwn end-to-end delivery of ML platforms, pipelines, and services (training, inference, monitoring)Operationalize models int