AI Architect

Title: AI Architect

Duration: 12 Months (Possible extension)

Location : North York preferred. Open to Calgary , Alberta and Ottawa for the right candidate that can follow hybrid schedule

Hybrid(Mon, Tue, Thu in office)

Description:

As an AI & Data Analytics IT Specialist, you will play a pivotal role in shaping and delivering advanced analytics and AI-driven solutions that directly impact strategic and operational outcomes. This is an exciting opportunity for a seasoned technical professional to design and operationalize innovative data solutions for complex initiatives, while collaborating with cross-functional teams to turn data into meaningful, business-driving insights.

What you will do:

• Lead end-to-end design and technical delivery of complex AI/BI architecture initiatives aligned with enterprise strategy and roadmaps.
• Provide technical leadership across programs ensuring robust design principles, effective tools, risk management, and delivery excellence.
• Approve and govern solution architecture for AI/Data products to ensure alignment with enterprise AI/analytics standards and industry best practices.
• Translate business requirements into scalable AI/analytics solutions, selecting appropriate technologies and approaches.
• Design and validate secure, reliable, high-performing analytics architectures that meet business needs and service expectations.
• Develop AI & analytics data models (e.g., AI agents, data marts) and ensure effective data pipelines for transformation, quality, and loading.
• Support solution implementation and operations through documentation, training, stakeholder communication, and issue resolution.

What you have:

• Bachelor’s degree in a relevant field with 7+ years of progressive experience in AI/data architecture within large, complex organizations.
• Proven track record (5+ years) delivering enterprise-scale AI and analytics solutions, combining strong technical and analytical expertise.
• Deep knowledge of data architecture, databases (relational, NoSQL, NewSQL), and advanced analytics/AI/ML techniques for high-volume and complex datasets.
• Direct experience with AI/ML, LLMs, model lifecycle management, and responsible AI, including governance and risk frameworks.
• Strong expertise in modern data platforms and tools (e.g., Azure Data Factory, Databricks, ETL/ELT, big data, cloud-based analytics, BI tools like Power BI).
• Strategic thinker with the ability to align business, product, and technical needs in enterprise environments.
• Excellent communication, collaboration, and analytical skills, with the ability to address complex challenges, regulatory considerations, and stakeholder needs.
• TOGAF, Databricks Machine Learning or Data Engineering professional certification is an asset.
• Experience with version control, CI/CD, or MLOps practices.
• Knowledge of Agile development best practices, and experience with project management tools such as JIRA, Azure DevOps, and Confluence.