Head of Technology, Artificial Intelligence

Head of Technology, Artificial Intelligence page is loaded## Head of Technology, Artificial Intelligence locations:
Toronto - 100 Adelaide St Wtime type:
Full time posted on:
Posted Yesterday job requisition :
R-5726
** Venture outside the ordinary - TMX Careers
** The TMX group of companies includes leading global exchanges such as the Toronto Stock Exchange, Montreal Exchange, and numerous innovative organizations enhancing capital markets.  United as a global team, we’re connecting cross-functionally, traversing industries and geographies, moving opportunity into action, advancing global economic growth, and propelling progress. Through a rich exchange of ideas, meaningful collaboration, and a nimble operating model, we're powering some of the nation's most critical systems, fueling capital formation and innovation, bringing increased opportunity to business visionaries, product ingenuity to consumers, and career exploration to our team.

The Head of Artificial Intelligence (AI) is accountable to lead and scale our AI and Machine Learning (ML) initiatives. This strategic leadership role is responsible for building practical solutions on top of foundation models to create custom solutions and products, deploy agentic frameworks and setting the technical roadmap, architecture, and standards for all AI-driven products and services. The role will drive innovation, build and mentor high-performing engineering teams, and ensure that our AI capabilities deliver significant business impact and competitive advantage.

Responsibilities:
* Technical

Roadmap:

Define and communicate the long-term technological vision, strategy, and architecture for integrating Generative AI into the company's core workflows and products. Plan the models and frameworks to be used across the ecosystem.
* Agentic Framework Architecture:
Architect and deploy multi-agent systems where AI agents autonomously execute complex tasks, reducing manual operational loads
* Innovation:
Identify emerging AI technologies, trends (e.g., Generative AI, LLMs, Agents), and research breakthroughs, assessing their potential for business application and competitive differentiation.
* Budget & Resources:
Manage the department's budget, resources, and technology stack, making strategic build vs. buy decisions and ensuring efficient cloud utilization.
* Platform Leadership:
Oversee the development and maintenance of the scalable, reliable, and secure LLMOps and Agentic platforms that facilitate the rapid deployment, monitoring, and iteration of production solutions (focused on solution delivery vs ‘research paralysis’).
* Standards & Governance:
Establish technical best practices, coding standards, data quality requirements, and ethical AI guidelines to ensure responsible and trustworthy AI development. Provide guidelines to internal teams, and internal consultancy to kick start development of solutions against enterprise frameworks
* System Scalability:
Direct the engineering teams in designing AI systems for the appropriate scale, latency, and availability, integrating them seamlessly into core product and internal infrastructure.
* Team Building:
Recruit, hire, mentor, and coach a world-class team of AI Engineers, fostering a culture of innovation, accountability, and technical excellence.
* Cross-Functional Alignment:
Serve as the primary technical interface between the AI team and product leadership, data science, and core engineering, ensuring technological choices align with business priorities.
* Performance & Delivery:
Oversee the execution of multiple complex AI projects, ensuring timely delivery, adherence to quality standards, and measurable business outcomes.

Required Skill Set:
* 8+ years of tech experience, preferably with real use of AI/ML and GenAI
* Degree in Computer Science, Engineering, Mathematics, or a related quantitative field.
* Deep, hands-on experience designing and deploying Machine Learning or GenAI solutions in a production environment, specifically within a major cloud platform (AWS, GCP, or Azure).
* Exceptional leadership, management, communication, and interpersonal skills, with the ability to influence executive-level stakeholders.
*…