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Chief AI Architect
ITSector
Montreal, QC
- Full-time

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ITSector

Chief AI Architect

Montreal, QC, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Dec 9, 2026
Experience: Minimum 15 years of experience in enterprise and/or solution architecture, including significant hands-on experience in AI-related domains;
Posting language: English
Posted: Nov 9, 2026

Original job description

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;
Strong 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.

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More about this job

Responsibilities

Establish enterprise AI principles, guardrails, and reusable architectural patterns, and lead the secure, auditable, and scalable architectural vision for generative and agentic AI. Advise executives on AI investments and platform choices, and coordinate stakeholders on governance, risk management, and complex AI initiatives.

Requirements

Requires a degree in Computer Engineering, Electrical Engineering, or a similar field, and at least 15 years of enterprise or solution architecture experience, including hands-on AI experience. Candidates should have deep expertise in AI technologies, governance, data platforms, MLOps/LLMOps, and cloud AI services, along with strong leadership and communication skills in English and French.

Skills

Enterprise Architecture
Solution Architecture
Artificial Intelligence
Machine Learning
Generative AI
Agent-Based Systems
AI Governance
AI Ethics
Risk Management
AI Reference Architecture
Data Platforms
MLOps
LLMOps
AWS
Azure
Executive Communication

Visa sponsorship

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Keywords

Enterprise Architecture
Solution Architecture
Artificial Intelligence
Machine Learning
Generative AI
Agent-Based Systems
Agentic AI
AI Governance
AI Ethics
Regulatory Constraints
Risk Management
AI Reference Architectures
Architectural Patterns
Data Platforms
MLOps
LLMOps
AWS
Azure
Cloud-Native AI Services
Human-in-the-Loop Controls
Lifecycle Management
Safe-Stop Mechanisms
AI Risk Management
Vendor Assessment
Enterprise Platforms
Executive Advisory
English
French

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