Director, AI Solutions

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Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.

A place where tech thinkers and future builders turn bold ideas into breakthrough experiences, we welcome your unique perspective.

Help us challenge assumptions, uncover bias, and remove barriers—because progress starts with fresh ideas. You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work.

Job Summary

We are seeking a Director of AI Solutions to lead the design, engineering, and deployment of generative AI and machine learning systems across Sales, Marketing, and Customer Success.

This is a hands-on technical leadership role responsible for building and scaling production-grade AI systems that directly drive revenue outcomes, including pipeline growth, deal acceleration, customer retention, and operational efficiency.

You will operate at the intersection of AI engineering, enterprise architecture, and go-to-market strategy, partnering closely with Sales, Product, and Engineering leaders to translate AI capabilities into measurable business value.

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

Drive Hands-On ML Engineering Excellence

Architect and guide implementation of model training and fine-tuning pipelines using frameworks such as PyTorch, TensorFlow, and Hugging Face. Build real-time and batch inference systems, embedding pipelines, and vector database integrations. Establish best practices for CI/CD, experimentation, model evaluation, and observability across AI systems

Scale Agentic 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

Drive Revenue Impact Through AI

Partner with Sales and go-to-market leadership to embed AI into deal strategy and customer engagements. Contribute directly to pipeline growth, deal velocity, and account expansion. Translate AI capabilities into measurable outcomes including conversion improvement, productivity gains, and customer retention

Lead Cross-Functional Execution

Collaborate across Engineering, Data, Product, Sales, and Customer Success to deliver integrated AI solutions. Translate complex business problems into scalable technical architectures and ensure alignment across systems, data, and workflows

Build and Lead High-Performing Teams

Lead and grow teams of ML engineers, ML scientists, and AI architects. Establish a high bar for engineering quality, execution, and technical depth. Build scalable development practices and delivery models for enterprise AI

Qualifications

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
Experience with Capacity Planning (space, power, or comparable), supply chain management, or comparable
Experience partnering with Sales, Marketing, or Customer Success organizations to drive business outcomes

Technical Expertise

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, and modern data stacks
Strong understanding of distributed systems, CI/CD, experimentation frameworks, and observability

Leadership and Business Acumen

Ability to operate as both a technical leader and business partner
Strong executive communication and stakeholder management skills
Experience influencing senior stakeholders and driving alignment across highly matrixed organizations
Ability to translate complex technical systems into clear business value
Experience with building AI solutions for Enterprise and driving value through revenue growth like New Logo’s, Recommendations for Crosssell-Upselll

Preferred Qualifications

Experience with Salesforce or enterprise CRM ecosystems
Experience building internal AI platforms or developer tooling
Background in SaaS or enterprise software environments
Advanced degree in Computer Science, Machine Learning, or a related field

The targeted pay range for this position in the following location is / locations are:

Canada - Toronto Office TRO : 182,000 - 272,000 CAD / Annual

Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location.The pay range shown is based on our compensation structure in place at the time of posting and may be updated periodically based on business needs. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training.

The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.

Equinix Benefits

As an employee, you become important to Equinix’s success. We ensure all your benefits are in line with our core values: competitive, inclusive, sustainable, connected and efficient. We keep them competitive within the current marketplace to ensure we’re providing you with the best package possible. So, wherever you are in y