Senior Director, Ai Solutions

Equinix Inc.

Redwood City, California, United States
Base: $298,000 - $446,000 usd (redwood city); base...
Hybrid (location flexibility across redwood city, dallas, and toronto)
Generative ai system design
Llm and agentic workflow development
Production-grade ml engineering
Equinix is seeking a Senior Director of AI Solutions to lead the design and deployment of generative AI and machine learning systems that drive revenue across Sales, Marketing, and Customer Success. The ideal candidate will have extensive experience in AI/ML, deep technical expertise, and a proven record of delivering enterprise-scale AI systems

Job Summary

  • This role involves leading the design and deployment of generative AI and machine learning systems that directly drive revenue outcomes like pipeline growth and customer retention.
  • The successful candidate will architect and guide implementation of model training pipelines using frameworks such as PyTorch, TensorFlow, and Hugging Face.
  • Equinix offers competitive benefits including health insurance, retirement plans, and paid time off for employees in the United States and Canada.

Matching Summary

Match Score: 85

Equinix is seeking a Senior Director of AI Solutions to lead the design and deployment of generative AI and machine learning systems that drive revenue across Sales, Marketing, and Customer Success. The ideal candidate will have extensive experience in AI/ML, deep technical expertise, and a proven record of delivering enterprise-scale AI systems.

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; Benefits: Health, Retirement, PTO included

Skills & Requirements

Must-have

  • Generative AI system design
  • LLM and agentic workflow development
  • Production-grade ML engineering
  • Sales and CRM integration
  • PyTorch or TensorFlow proficiency

Nice-to-have

  • Experience with Salesforce ecosystems
  • Internal AI platform building
  • SaaS environment background
  • Advanced degree in Computer Science
  • Developer tooling creation

Key Requirements

  • 12-15+ years of AI/ML experience
  • 8+ years leading ML engineering teams
  • Proven track record delivering enterprise-scale AI systems

Work Rights

Not specified

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