Senior Director, Ai Engineering

Equinix Inc.

Redwood City, California, United States
Base: $298,000 - $446,000 usd (redwood city); base...
Not specified
12-15 years software engineering experience
5+ years leading distributed engineering teams
Production-grade ml/ai system delivery
Equinix Inc. is seeking a Senior Director of AI Engineering to lead a high-performing Machine Learning Engineering team responsible for developing scalable AI/ML systems. This hands-on leadership role emphasizes transforming AI from experimentation into enterprise capabilities while fostering a culture of innovation and collaboration

Job Summary

  • This role is critical to transforming AI from experimentation into a scalable, enterprise capability by defining how AI is built, deployed, and leveraged across the organization.
  • The successful candidate will lead a global team of Machine Learning Engineers to operationalize models into scalable, reliable, and secure production systems while driving Generative AI initiatives.
  • Equinix offers competitive benefits including health insurance, retirement plans, paid time off, and an Employee Assistance Program to support employee well-being.

Matching Summary

Match Score: 85

Equinix Inc. is seeking a Senior Director of AI Engineering to lead a high-performing Machine Learning Engineering team responsible for developing scalable AI/ML systems. This hands-on leadership role emphasizes transforming AI from experimentation into enterprise capabilities while fostering a culture of innovation and collaboration.

Salary

Base: $298,000 - $446,000 USD (Redwood City); Base: $248,000 - $372,000 USD (Dallas); Base: $202,000 - $302,000 CAD (Toronto); Bonus/Equity: Eligible for bonus and potential equity; Benefits: Health, retirement, PTO included

Skills & Requirements

Must-have

  • 12-15 years software engineering experience
  • 5+ years leading distributed engineering teams
  • Production-grade ML/AI system delivery
  • Deep knowledge of MLOps and cloud-native architectures
  • Experience with TensorFlow or PyTorch frameworks
  • Understanding of GenAI, LLMs, and RAG systems

Nice-to-have

  • Experience building enterprise AI platforms
  • Background in both predictive and generative AI
  • Global delivery model experience
  • Master's or PhD in Computer Science
  • Strong stakeholder management skills

Key Requirements

  • 12-15+ years in software, data, or ML engineering
  • 5+ years leading large, distributed engineering teams
  • Proven track record delivering ML systems at scale
  • Master's or PhD in Computer Science (Preferred)

Work Rights

Not specified

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