Senior Director leading AI solutions design, engineering, and deployment for Equinix's sales and marketing. Collaborating across teams to drive measurable business value with generative AI.
Responsibilities
Lead End-to-End GenAI and ML System Delivery
Design and deploy generative AI and machine learning solutions embedded in CRM and customer workflows
Build systems including LLM-powered copilots, agentic workflows, retrieval-augmented generation pipelines, and predictive models
Own the full lifecycle from data sourcing and model development to evaluation, deployment, and monitoring
Architect and guide implementation of model training and fine-tuning pipelines using frameworks such as PyTorch, TensorFlow, and Hugging Face
Establish best practices for CI/CD, experimentation, model evaluation, and observability across AI systems
Design and deploy agent-based systems capable of multi-step reasoning, tool usage, and workflow orchestration across enterprise platforms
Establish reusable patterns for prompt management, tool integration, policy enforcement, and agent lifecycle management
Collaborate across Engineering, Data, Product, Sales, and Customer Success to deliver integrated AI solutions
Requirements
12–15+ years of experience in AI/ML, data science, or distributed systems engineering
8+ years leading ML or AI engineering teams in platform or infrastructure environments
Proven track record delivering production-grade AI systems at enterprise scale
Deep hands-on experience with generative AI including LLMs, prompt engineering, and fine-tuning
Strong experience with retrieval-augmented generation architectures and agentic AI systems
Proficiency with ML frameworks such as PyTorch or TensorFlow
Experience with cloud platforms including AWS, GCP, or Azure
Strong understanding of distributed systems, CI/CD, experimentation frameworks, and observability
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