Job Summary We are seeking a Senior 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. Responsibilities Build, lead, and mentor a global team of Machine Learning Engineers and technical leaders Establish a high‑performance engineering culture focused on quality, velocity, and accountability Drive hiring, onboarding, and career development for MLE talent across regions Own end‑to‑end delivery of ML platforms, pipelines, and services (training, inference, monitoring) Operationalize models into scalable, reliable, and secure production systems Partner with Data Science and Product to move from experimentation to deployment Set the vision for ML platform architecture, MLOps, and GenAI enablement Standardize tools, frameworks, and best practices for model development and deployment Ensure systems are built for scale, performance, and cost efficiency Lead development of GenAI capabilities (LLMs, RAG, copilots, automation workflows) Enable reusable AI services and APIs to accelerate use case delivery Stay ahead of industry trends and translate them into enterprise‑ready capabilities Partner with Product, Data, Engineering, and Business leaders to prioritize high‑impact use cases Communicate strategy, progress, and outcomes to executive stakeholders Align AI initiatives with business goals, including revenue growth, efficiency, and customer experience Establish best practices for model governance, monitoring, and lifecycle management Ensure compliance with security, privacy, and ethical AI standards Implement guardrails for safe and responsible use of AI technologies Qualifications 12–15+ years in software engineering, data engineering, or ML engineering 5+ years leading large, distributed engineering teams (including managers of managers) Proven track record of delivering ML/AI systems at scale in production environments Deep knowledge of machine learning systems, MLOps, and cloud‑native architectures Experience with ML frameworks (e.g., TensorFlow, PyTorch) and data platforms Strong understanding of GenAI/LLMs, prompt engineering, and retrieval‑augmented systems Familiarity with distributed systems, APIs, and microservices architecture Strong ability to translate business strategy into technical execution Experience driving large‑scale transformation initiatives Excellent communication and stakeholder management skills Preferred Experience building enterprise AI platforms or internal AI products Background in both predictive ML and generative AI use cases Experience in global delivery models (e.g., US + India engineering hubs) Master’s or PhD in Computer Science, Engineering, or related field Pay Range United States - Redwood City Office GHQ: 298,000 - 446,000 USD / Annual United States - Dallas Infomart Office DAI: 248,000 - 372,000 USD / Annual Canada - Toronto Office TRO: 202,000 - 302,000 CAD / Annual Our pay ranges reflect the minimum and maximum target for new hire pay for the full‑time position determined by role, level, and location. The pay range shown is based on our compensation structure in place at the time of posting and may be updated periodically based on business needs. Individual pay is based on additional factors including job‑related skills, experience, and relevant education and/or training. The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position. Benefits Equinix offers a comprehensive benefits package aligned with its core values of competitive, inclusive, sustainable, connected, and efficient. As an employee, you become important to Equinix’s success and will receive benefits that support career and personal well‑being, including health, life, disability, voluntary plans, retirement plans, paid time off, and paid holidays. For US employees, benefits include health, life, disability, voluntary plans, a retirement plan, earned paid time off, and paid holidays. For Canada employees, benefits include healthcare coverage, life, disability and optional benefit plans, retirement or savings plans (DCPP, RRSP, TSFA), vacation, and paid holidays. All benefits are subject to change and may be subject to specific plan or program terms. Employee Assistance Program: An Employee Assistance program is available to all employees. Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form. Equinix is an Equal Employment Opportunity and, in the U.S., an affirmative action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law. We use artificial intelligence in our hiring process. Learn more here. This posting is a new position within our organization. #J-18808-Ljbffr