Extreme Networks
Jobs
Director of AI Engineering – Generative AI & Autonomous Systems (10033) Toronto, Canada
Director of AI Engineering – Generative AI & Autonomous Systems (10033) Toronto, Canada
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The Role
Lead AI engineering strategy and team to productize generative AI and autonomous systems. Drive end-to-end delivery from research to enterprise production, set architecture and reliability standards for LLMs, RAG, and multi-agent systems, and partner cross-functionally to measure business impact.
Summary Generated by Built In
Introduction
At our Extreme, we create effortless networking experiences that empower people and organizations to advance. We are seeking a Director of AI Engineering to lead the design, development, and delivery of our next-generation AI-native systems.
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. Your leadership will drive the successful launch of enterprise-grade AI solutions that transform network design, optimization, security, and support.
Key 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.
- 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.
- 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.
Leadership & Vision
End-to-End Productization
Technical Leadership
Cross-Functional & External Influence
Qualifications
- 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.
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 Required
- Degree in Computer Science, Artificial Intelligence, or related field (or equivalent practical experience)
- 12+ years in AI/ML engineering with 5+ years in senior leadership roles
- Proven success leading AI initiatives from concept through enterprise production deployment and adoption
- Ability to define AI roadmaps, prioritize investments, and align execution with business outcomes
- Experience scaling teams, developing leaders, and creating a culture of technical excellence
- 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)
- Exceptional ability to communicate and influence executives, engineers, and customers
- 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, patents, thought leadership)
- Partnerships with academia, startups, or AI vendors to accelerate innovation
Extreme Networks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Extreme Networks and has not been reviewed or approved by Extreme Networks.
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Flexible Benefits — Flexible work options and time‑off policies are emphasized through a 'Flex First' model with remote/hybrid choices and flexible or unlimited PTO. Wellness programs, volunteer time, and family leave round out a broad, adaptable package.
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Healthcare Strength — Healthcare coverage is positioned as comprehensive, including medical, dental, vision, mental health, and HSA eligibility. U.S. high‑deductible plans include a company HSA contribution, strengthening the financial value of coverage.
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Equity Value & Accessibility — Equity participation is accessible via RSUs and an ESPP that enables discounted stock purchases. Variable pay and equity components can materially lift total compensation when business performance is strong.
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The Company
What We Do
Extreme Networks, Inc. (EXTR) is a leader in cloud networking focused on delivering services that connect devices, applications, and people in new ways. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook.
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