Director of AI Engineering – Generative AI & Autonomous Systems (10033) Toronto, Canada

Leadership & Vision

Define the AI engineering vision and long-term roadmap; ensure alignment with business strategy and customer outcomes.

Build, inspire, and scale a world-class AI engineering team, cultivating a culture of innovation, collaboration, and execution.

Mentor senior engineers and emerging leaders, raising the technical and leadership bar across the organization.

Champion responsible AI practices and set quality standards for reliability, ethics, and compliance.

End-to-End Productization

Drive the full lifecycle of AI systems: from research exploration and prototyping through enterprise-scale production launches.

Ensure seamless integration of AI into core products, balancing cutting-edge innovation with pragmatic delivery.

Establish and enforce best practices for deployment, monitoring, and lifecycle management of AI systems in production.

Measure impact and ensure that AI solutions deliver tangible business value.

Technical Leadership

Provide architectural direction for scalable AI systems leveraging LLMs, multi-agent systems, and generative models.

Guide technical decisions, ensuring systems are reliable, secure, and cloud-native.

Evaluate emerging technologies and frameworks; make informed adoption decisions that strengthen competitive differentiation.

Maintain enough hands-on involvement to earn respect from engineers, while staying focused on strategic leadership.

Cross-Functional & External Influence

Partner with product management, engineering, and network experts to define and deliver AI-driven features.

Communicate strategy, progress, and impact to executives, customers, and partners with clarity and influence.

Represent the company externally as a thought leader in AI, contributing to industry forums, open-source communities, and customer engagements.