AI Architect
Lead the end-to-end design and technical delivery of complex AI and BI architecture initiatives aligned with enterprise strategy. Design and validate secure, high-performing analytics architectures and data pipelines to turn data into business insights.
- Hybrid
- Toronto, ON
- Posted Sep 8, 2026
- Apply by Oct 8, 2026
- 1 position
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Job summary
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.
What you’ll do
Lead the end-to-end design and technical delivery of complex AI and BI architecture initiatives aligned with enterprise strategy. Design and validate secure, high-performing analytics architectures and data pipelines to turn data into business insights.
Requirements
Requires a Bachelor's degree and over 7 years of experience in AI/data architecture, with at least 5 years delivering enterprise-scale solutions. Proficiency in modern data platforms like Azure and Databricks, as well as experience with LLMs and MLOps, is essential.
Listed skills
- Power BIPreferred
- CI/CDPreferred
- Machine learningPreferred
- AgilePreferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- AI Architecture
- Data Architecture
- LLMs
- Machine Learning
- Azure Data Factory
- Databricks
- Power BI
- MLOps
- ETL/ELT
- Responsible AI
- Data Modeling
- CI/CD
- Agile
- TOGAF
- NoSQL
- Solution Architecture
Job areas
- Data & Analytics
- Technology
- Software
- Engineering
- Consulting
Additional details
- Minimum education
- Professional degree
- Minimum experience
- 10+ years
- Apply by
- Oct 8, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Office presence
- 3 days per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available
