Chief AI Architect
- Montreal, QC, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- 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
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.
- 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.
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
Not detected in the job text
Categories
- Technology
- Management & Leadership
- Software
- Data & Analytics
- Consulting
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