Publié il y a 14 mois
Director of AI Engineering – Generative AI & Autonomous Systems (10033) Toronto, Canada
@ Extreme Networks
Toronto, Ontario
En bref
Extreme Networks is hiring a Director of AI Engineering in Toronto to lead design, development and delivery of AI-native networking systems. The role sets AI strategy, takes systems from research to production, and builds and mentors a large engineering team. The posting states a full-time position, with no pay or schedule details given.
Responsabilités :
- Define AI engineering vision and long-term roadmap
- Lead and scale a world-class AI engineering team
- Drive AI systems from prototype to enterprise production
- Provide architectural direction for LLM and multi-agent systems
- Partner with product and network experts on AI features
Résumé des exigences :
- 12+ years in AI/ML engineering, 5+ in senior leadership
- Applied experience with generative AI, LLMs, RAG or multi-agent systems
- End-to-end AI product launch experience at enterprise scale
- Cloud-native delivery on AWS, Azure or GCP
- Executive-level communication and influence
- Degree in computer science, AI or related field, or equivalent experience
Outils et compétences
Source et dates
Site carrière / système de candidatures · lever
- Date publiée par l’employeur
- 2025-09-24
- Première détection par notre source
- 2026-10-08
- Mise à jour du dossier source
- 2026-10-09
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Directeur ou directrice |
| Domaine | Génie |
| Expérience | 12 an(s) et plus |
| Expérience en gestion | 5 an(s) et plus |
| Gestion d’équipe | Oui |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Formation | Baccalauréat (préféré) |
| Domaines d’études | Computer Science, Artificial Intelligence |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Extreme Networks
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
We go to extremes for you.
Description complète de l’entreprise
Extreme Networks, Inc. (EXTR) is a leader in AI-powered cloud networking, delivering a unified platform that simplifies and secures IT operations. Our solutions help businesses address challenges and enable connections among devices, applications, and users. We push the boundaries of technology, leveraging the powers of artificial intelligence, analytics, and automation. Trusted by thousands of customers globally, our AI-powered cloud networking solutions and industry-leading support enable businesses to drive value, foster innovation, and overcome extreme challenges. For more information, visit Extreme's website at www.extremenetworks.com or follow us on LinkedIn, YouTube, X/Twitter, Facebook, or Instagram.
- Abonnés LinkedIn
- 199 062
- Personnes associées sur LinkedIn
- 4 030
- Bureaux déclarés
- 2121 RDU Center Drive, Suite 300, Morrisville, NC 27560, US
- 6480 Via Del Oro, San Jose, CA 95119, US
- 9 Northeastern Blvd, Salem, NH 03079, US
- 55 Commerce Valley Dr W, Markham, Ontario L4B, CA
- Catégories d’activité
- Information Technology
- Snack Food
- Network Hardware
- Consulting
- Food Delivery
- Software
- Internet of Things
- Food and Beverage
- Communication Hardware
- Computer
- Autres noms enregistrés
- Extreme Networks
- Spécialités
- Switching
- Wireless
- Security
- Cloud Management
- Network Management
- Data Center
- Application Analytics
- Access Points
- Wi-Fi
- Routing
- Network Visibility
- Wi-Fi 6
- Edge Computing
- Cloud Computing
- Cloud
- and Network Automation
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 17 300 000
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Extreme Networks, Inc. (EXTR) is a leader in AI-powered cloud networking, delivering a unified platform that simplifies and secures IT operations. Our solutions help businesses address challenges and enable connections among devices, applications, and users. We push the boundaries of technology, leveraging the powers of artificial intelligence, analytics, and automation. Trusted by thousands of customers globally…
| Champ | Valeur |
|---|---|
| Secteur | Software Development |
| Taille | 1,001-5,000 employees |
| Siège social | Morrisville, NC |
| Type d’organisation | Public Company |
| Fondée en | 1996 |
| Spécialités | SwitchingWirelessSecurityCloud ManagementNetwork ManagementData CenterApplication AnalyticsAccess PointsWi-FiRouting |
| Offres sur Jobsy | 7 |
| Voir la page |
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.
Journal
Visible seulement par vous. Conservé sur cet appareil, et dans votre compte une fois connecté.