Extreme Networks

Extreme Networks

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

Toronto, Canada · Director

Sponsorship not specifiedDetected 301 days ago
AWSGCPAzureMachine LearningLLMsRAGLLMOpsAI OrchestrationSD-WANResearchLeadershipCommunicationCollaboration

About the role

  • This role requires a proven leader who combines technical depth with organizational vision.
  • You will not only set the direction for AI strategy but also ensure that ideas move from research to scalable, production-ready deployments.

Responsibilities

  • Build, inspire, and scale a world-class AI engineering team, cultivating a culture of innovation, collaboration, and execution.
  • Drive the full lifecycle of AI systems: from research exploration and prototyping through enterprise-scale production launches.
  • Measure impact and ensure that AI solutions deliver tangible business value.
  • Maintain enough hands-on involvement to earn respect from engineers, while staying focused on strategic leadership.
  • Partner with product management, engineering, and network experts to define and deliver AI-driven features.

Requirements

  • A degree in Computer Science, Artificial Intelligence, or a related field (or equivalent practical experience).
  • Proven leadership track record: 12+ years in AI/ML engineering, including 5+ years in senior leadership roles managing teams and large-scale initiatives.
  • End-to-end product launch expertise: Demonstrated success leading AI initiatives from concept through production deployment and adoption at enterprise scale.
  • Strategic leadership: Ability to define AI roadmaps, prioritize investments, and align execution with business outcomes.
  • Technical credibility: Strong foundation in ML/AI with applied expertise in generative AI, LLMs, RAG, or multi-agent systems
  • Enterprise-scale delivery: Experience integrating AI into production systems with cloud-native architectures (AWS, Azure, GCP).
  • Ability to define AI roadmaps, prioritize investments, and align execution with business outcomes.
  • Team builder & mentor: Experience scaling teams, developing leaders, and creating a culture of technical excellence.
  • able to guide architecture and evaluate tradeoffs.
  • Influence & communication: Exceptional ability to engage executives, engineers, and customers with clarity and impact.

Nice to have

  • Experience with AI/LLMOps platforms, orchestration frameworks, and lifecycle management.
  • Domain knowledge in networking, SD-WAN, or observability.
  • Recognized contributions to the AI ecosystem (open-source projects, patents, or industry thought leadership).
  • Partnerships with academia, startups, or AI vendors to accelerate innovation.

Skills

  • Experience integrating AI into production systems with cloud-native architectures (AWS, Azure, GCP).

Benefits

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

Company info

  • Communicate strategy, progress, and impact to executives, customers, and partners with clarity and influence.
Apply directly at Extreme Networks →Create a free account for alerts like thisView Extreme Networks immigration profile

This listing is sourced directly from Extreme Networks's careers page and normalized into a canonical job model.