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EQ
Director of AI Engineering
Equinix · Dallas, United States
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
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