Skip to content
← Back to job listings

Director of AI Engineering

Equinix · Dallas, United States

External listingfull-time13 days ago

About The Role

Join our team as the Director of AI Engineering, where you will lead and scale a high-performing Machine Learning Engineering organization. You will be responsible for building production-grade AI/ML systems that power next-generation generative and predictive capabilities across the enterprise. This hands-on technical leadership 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.

  • Lead and scale a high-performing Machine Learning Engineering organization, focusing on building production-grade AI/ML systems.
  • Define and implement the AI Engineering strategy and architecture, setting the vision for ML platform architecture, MLOps, and GenAI enablement.
  • Establish best practices for model governance, monitoring, and lifecycle management, ensuring compliance with security, privacy, and ethical AI standards.
  • Experience driving large-scale transformation initiatives
  • 12+ years in software engineering, data engineering, or ML engineering
  • Experience with ML frameworks (e.g., TensorFlow, PyTorch) and data platforms
  • 5+ years leading large, distributed engineering teams (including managers of managers)
  • Strong understanding of GenAI/LLMs, prompt engineering, and retrieval-augmented systems
  • Deep knowledge of machine learning systems, MLOps, and cloud-native architectures
  • Strong ability to translate business strategy into technical execution
  • Familiarity with distributed systems, APIs, and microservices architecture
  • Excellent communication and stakeholder management skills
  • Proven track record of delivering ML/AI systems at scale in production environments
  • 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
  • Undefined

This is an external listing. JobSpring does not represent or verify the employer. Report this listing