Extreme Networks Inc.

Extreme Networks Inc.

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

Toronto, Canada · Director

Sponsorship not specifiedDetected 392 days ago
AWSGCPAzureMachine LearningLLMsRAGLLMOpsAI OrchestrationSD-WANResearchLeadershipCommunicationCollaboration

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odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Green-card follow-through: 80%

Of 5 labor certifications old enough to have been used, 1 expired without the employer filing the next step. Median time from filing to decision: 496 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

5 transfer filings in the last year, covering 5 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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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).
  • Strong foundation in ML/AI with applied expertise in generative AI, LLMs, RAG, or multi-agent systems
  • Experience integrating AI into production systems with cloud-native architectures (AWS, Azure, GCP).
  • 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.

Benefits

  • Leadership & Vision
  • Define the AI engineering vision and long-term roadmap

Company info

  • Communicate strategy, progress, and impact to executives, customers, and partners with clarity and influence.
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This listing is sourced directly from Extreme Networks Inc.'s careers page and normalized into a canonical job model.