Let's take a look at the profile we are looking for:

- Ambitious people with a passion for this area;
- Degree in Computer Engineering, Electrical Engineering or similar;
- Minimum 15 years of experience in enterprise and/or solution architecture, including significant hands-on experience in AI-related domains;
- Deep expertise in AI technologies, including machine learning, generative AI, agent-based systems, and the enterprise platforms required to operationalize them;
- Strong understanding of AI governance, ethics, regulatory constraints, and risk management in large organizations;
- Demonstrated experience designing AI reference architectures, defining enterprise guiding principles, and shaping scalable architectural patterns;
- Solid knowledge of data platforms, MLOps / LLMOps, and cloud-native AI services such as AWS and Azure;
- Solid leadership presence with the ability to influence executives and senior peers, challenge stakeholders constructively;
- Written and verbal communication skills (English and French);
- Ability to work effectively and manage deadlines;
- Sense of responsibility, commitment and integrity;
- Focus on innovation, dynamism,



autonomy and teamwork.

Main Responsibilities

- Establish pragmatic AI principles, guardrails, and reusable patterns that accelerate delivery while ensuring consistency, reuse, and control across the organization;
- Lead the architectural vision for generative and agentic AI, ensuring solutions are secure-by-design, auditable, and operable at enterprise scale;
- Define enterprise patterns for agentic systems, including autonomy boundaries, human-in-the-loop controls, lifecycle management, and safe-stop mechanisms;
- Partner with AI delivery, governance, business, data, and technology stakeholders to drive a coherent enterprise AI approach, clarify decision rights, and translate opportunities into scalable golden paths;
- Advise executives on AI-related investments, platform and vendor choices, adoption sequencing, and trade-offs between speed, control, and risk;
- Oversee AI risk management, emerging technology assessment, and architectural escalation for complex or high-risk AI initiatives.

📌 Chief AI Architect (Montreal)
🏢 ITSector
📍 Montreal