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Executive Engineering Jobs in Toronto, ON (NOW HIRING)

We produce and distribute premier filmed entertainment and programming through our powerhouse film ... ROLE OVERVIEW We are seeking a highly organized and proactive Executive Assistant to support the VP ...

Project Executive

Burlington, ON · On-site

CA$180K - CA$210K/yr

Project Executive - Design-Build / ICI Construction Location: Burlington, ON (Onsite | Head Office ... Degree or diploma in Construction Management, Engineering, Architecture, or a related discipline ...

Account Executive

Toronto, ON · Hybrid

CA$140K - CA$160K/yr

Account Executive Location: Toronto (Onsite/ Hybrid) Job Type: Full-Time Hiring Timeline: Immediate ... Fulfillment IQ is a supply chain engineering and transformation company that helps brands ...

Head of Engineering

Toronto, ON · On-site

$120 - $180/hr

Executive Communication: Act as the primary technical voice to executive leadership, translating ... Engineering Excellence: Balance rapid business delivery with technical sustainability by setting ...

Account Executive (AWS Co-Sell Specialist) * Reports To: Sales Lead / CEO * Location: Remote (US ... Peer Mentorship & Coaching - Learn from experienced engineers, product managers, and architects to ...

Account Executive (AWS Co-Sell Specialist) * Reports To: Sales Lead / CEO * Location: Remote (US ... Peer Mentorship & Coaching - Learn from experienced engineers, product managers, and architects to ...

Executive Assistant

Toronto, ON · Hybrid

CA$65K - CA$90K/yr

... programming throughout the year. We also offer a $400 Boot Allowance every two years to ensure ... Beyond executive support, you'll also help bring company events and team experiences to life. The ...

You'll partner with the Devs.ai GM, Product team, and Sales Engineering to identify prospects ... You communicate clearly at every level, from technical evaluators to executive decision-makers ...

... Engineer, Pre-Sales Consultant, or Implementation Consultant for enterprise SaaS software ... Proven ability to deliver executive-level product demonstrations and presentations. * Experience ...

... Engineer, Pre-Sales Consultant, or Implementation Consultant for enterprise SaaS software ... Proven ability to deliver executive-level product demonstrations and presentations. * Experience ...

We're hiring engineers and product leaders who want to build systems that get more capable the more they run. About the Role: We're looking for a Senior Account Executive to join our sales ...

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Executive Engineering information

What is executive engineering?

Executive engineering refers to high-level leadership roles within engineering organizations, typically involving positions such as Chief Engineer, VP of Engineering, or Engineering Director. Professionals in executive engineering are responsible for setting technical vision, developing engineering strategies, overseeing large teams, and ensuring successful project delivery. They bridge the gap between business objectives and technical execution, often collaborating with other executives to drive company growth and innovation.

What are some common challenges faced by executive engineering professionals when managing cross-functional teams?

Executive Engineering professionals often encounter challenges in aligning diverse teams with varying technical backgrounds and priorities. Effective communication is crucial, as they must translate complex engineering concepts for non-technical stakeholders while ensuring that project goals remain clear to all team members. Balancing innovation with budget, timeline, and resource constraints is another key challenge, requiring strong leadership and strategic decision-making skills. Building trust and fostering collaboration across departments is essential for driving successful outcomes.

What are the key skills and qualifications needed to thrive as an executive engineer, and why are they important?

To thrive as an Executive Engineer, you need a solid background in engineering principles, project management experience, and typically a relevant engineering degree with professional certification (such as PE or equivalent). Familiarity with CAD software, project management tools (like MS Project), and industry-specific standards is essential. Leadership, strategic thinking, and effective communication are crucial soft skills for managing teams and projects. These skills and qualifications ensure successful project delivery, innovation, and the ability to lead teams in complex technical environments.

What is the difference between Executive Engineering vs Mechanical Engineering?

AspectExecutive EngineeringMechanical Engineering
Required CredentialsBachelor's or Master's in Engineering, often with leadership certificationsBachelor's or Master's in Mechanical Engineering, professional engineering license often preferred
Work EnvironmentLeadership roles in project management, strategic planning, and client interactionDesign, analysis, testing, and manufacturing in labs or on-site
Employer & Industry UsageEngineering firms, corporations, government agencies in leadership positionsManufacturing, automotive, aerospace, energy sectors

Executive Engineering focuses on leadership, strategic decision-making, and project oversight, often requiring advanced degrees and certifications. Mechanical Engineering involves technical design, analysis, and development of mechanical systems. While both roles require engineering credentials, Executive Engineering emphasizes management skills, whereas Mechanical Engineering emphasizes technical expertise.

What does an executive engineer do?

An executive engineer oversees engineering projects, manages teams, and ensures technical standards and project deadlines are met. They often coordinate between management and technical staff, utilize engineering software, and may hold professional engineering licenses. Their role combines technical expertise with leadership and strategic planning.

What are the most commonly searched types of Engineering jobs in Toronto, ON?

The most popular types of Engineering jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Executive Engineering jobs?

Cities near Toronto, ON with the most Executive Engineering job openings:

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

Extreme Networks

Toronto, ON

Full-time

Re-posted 14 days ago


Job description

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
  •  
Leadership & Vision 
  • 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. 
 
End-to-End Productization 
 
  • 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. 
 
Technical Leadership 
 
  • 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. 
 
Cross-Functional & External Influence 
 
  • 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. 
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. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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