Director of AI Engineering – Generative AI, Autonomous Systems

Posted 34 minutes ago

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About the role

  • Director of AI Engineering at Extreme Networks, leading the design and delivery of AI-native systems. Driving enterprise-level AI solutions for networking optimization, security, and support.

Responsibilities

  • 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.
  • 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.

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.
  • Team builder & mentor: Experience scaling teams, developing leaders, and creating a culture of technical excellence.
  • Technical credibility: Strong foundation in ML/AI with applied expertise in generative AI, LLMs, RAG, or multi-agent systems; able to guide architecture and evaluate tradeoffs.
  • Enterprise-scale delivery: Experience integrating AI into production systems with cloud-native architectures (AWS, Azure, GCP).
  • Influence & communication: Exceptional ability to engage executives, engineers, and customers with clarity and impact.

Benefits

  • health insurance
  • retirement plans
  • paid time off
  • flexible work arrangements
  • professional development

Job title

Job type

Full Time

Experience level

Lead

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

AWSAzureCloudGoogle Cloud Platform

Location requirements

HybridTorontoCanada

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