Director, AI Engineering
On-siteToronto, Ontario, Canada
Job Summary
Define and lead the enterprise AI engineering strategy, roadmap, architecture standards, and delivery model aligned to business priorities. Build, mentor, and scale high-performing AI engineering and MLOps teams focused on delivering production-grade AI solutions. Establish scalable AI platforms, frameworks, and governance practices to support machine learning, generative AI, and data science workloads. Partner with cross-functional stakeholders to identify high-value AI use cases and drive end-to-end solution delivery from experimentation to production. Ensure operational excellence through robust AI lifecycle management, model monitoring, security, compliance, and responsible AI practices. Collaborate closely with business leaders, product teams, and technology partners to operationalize secure, reliable, and measurable AI capabilities.
Required Qualifications
- Bachelor's degree in Computer Science, Software Engineering, or a related field
- 10+ years of experience in software engineering, data engineering, machine learning, or AI solution delivery, including leadership experience managing technical teams
- Proven experience designing and deploying enterprise-scale AI/ML platforms and production AI applications in cloud environments
- Strong understanding of AI engineering practices including MLOps, LLMOps, model deployment, observability, governance, and automation
- Experience leading cross-functional initiatives that integrate AI capabilities into business processes, products, or customer experiences
- Deep technical knowledge of modern AI ecosystems, including machine learning frameworks, generative AI technologies, APIs, vector databases, and cloud-native architectures
- Exceptional communication and stakeholder management skills with the ability to influence executive leaders and translate complex technical concepts into business value
- A passion for innovation, continuous learning, and building inclusive, collaborative, and high-performing engineering cultures
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