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Toronto, Ontario, Canada
Hybrid
Who are we?
Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.
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 your career and life, you’ll be able to enhance your experience and bring your whole self to work.
Employee Assistance Program: An Employee Assistance program is available to all employees.

Canada Core Benefits: - Insurance: You may enroll in healthcare coverage that is designed to complement the provincial healthcare system, along with life, disability and optional benefit plans that are designed for you and your eligible family members. - Retirement: You may also enroll in Equinix-sponsored retirement or savings plans: Defined Contribution Pension Plan (DCPP), Group Retirement Savings Plan (RRSP) and Tax-Free Savings Plan (TSFA). - Vacation and Paid Holidays: Equinix offers both vacation and personal time, along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to specific plan or program terms, and to change at Equinix discretion.
Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.
Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.
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This posting is a new position within our organization.
