Director, AI Solutions

Who are we

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 asPyTorch 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

• 1215 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 asPyTorchor 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 withbuilding AI solutions for Enterprise and drivingvalue through revenue growth like New Logos Recommendations forCrosssell-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 : 182000 - 272000 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 Equinixs 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 were providing you with the best package possible. So wherever you are in your career and life youll 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.

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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