Equinix is the world’s digital infrastructure company, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.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 SummaryThe Senior Director AI, Chief Revenue Organization leads the design, engineering, and deployment of generative AI and machine learning systems across Sales, Marketing, and Customer Success. This is a hands‑on technical leadership role responsible for building and scaling production‑grade AI systems that directly drive revenue outcomes, including pipeline growth, deal acceleration, customer retention, and operational efficiency. This role will operate at the intersection of AI engineering, enterprise architecture, and go‑to‑market strategy, partnering closely with Sales, Product,



and Engineering leaders to translate AI capabilities into measurable business value.ResponsibilitiesLead End-to-End Gen AI and ML System DeliveryDesign and deploy generative AI and machine learning solutions embedded in CRM and customer workflowsBuild systems including LLM-powered copilots, agentic workflows, retrieval-augmented generation pipelines, and predictive modelsOwn the full lifecycle from data sourcing and model development to evaluation, deployment, and monitoringDrive Hands-On ML Engineering ExcellenceArchitect and guide implementation of model training and fine‑tuning pipelines using frameworks such as Py Torch, Tensor Flow, and Hugging FaceBuild real-time and batch inference systems, embedding pipelines, and vector database integrationsEstablish best practices for CI/CD, experimentation, model evaluation, and observability across AI systemsScale Agentic AI SystemsDesign and deploy agent-based systems capable of multi-step reasoning, tool usage, and workflow orchestration across enterprise platformsEstablish reusable patterns for prompt management, tool integration, policy enforcement, and agent lifecycle managementDrive Revenue Impact Through AIPartner with Sales and go-to-market leadership to embed AI into deal strategy and customer engagementsContribute directly to pipeline growth, deal velocity, and

📌 Senior Director Ai, Chief Revenue Organization (Toronto)
🏢 Equinix
📍 Toronto