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Solution Architect Data and AI
Air Canada
Dorval, CAN
Full-time
Mid-Senior
Onsite
Discovered 3 weeks ago
Enterprise architectureSolution architectureArtificial intelligenceData engineeringCloud architectureAzure
Free
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Enterprise architectureSolution architectureArtificial intelligence
Role Overview
The Data and AI Solution Architect will provide strategic technical leadership for enterprise-wide AI, data engineering, analytics, and data platform solutions.
The role translates business strategies and requirements into technical solutions, applications, and process designs.
The architect is responsible for technical aspects of solution delivery from inception and design through implementation.
Key Skills for This Role
Enterprise architectureSolution architectureArtificial intelligenceData engineeringCloud architectureAzure
Full Job Posting
Role Overview
The Data and AI Solution Architect will provide strategic technical leadership for enterprise-wide AI, data engineering, analytics, and data platform solutions.
The role translates business strategies and requirements into technical solutions, applications, and process designs.
The architect is responsible for technical aspects of solution delivery from inception and design through implementation.
Responsibilities
- Define enterprise architecture standards, reference architectures, and patterns for AI, data, analytics, and cloud-native platforms.
- Lead enterprise-scale solution design and oversee complex programs through architecture, design, and implementation.
- Govern BI and analytics consumption architecture, including semantic layers, metrics frameworks, and reporting patterns.
- Advise executives, product owners, engineering leaders, and implementation teams.
- Evaluate technologies across LLMs, agentic AI, AI/ML, data engineering, BI, MLOps, LLMOps, and DataOps.
- Oversee data lakes, enterprise data warehouses, operational data stores, streaming, event-driven systems, and enterprise data models.
- Establish architecture governance, design approvals, technical reviews, and compliance validation.
- Mentor architects, data engineers, and AI practitioners and drive architectural modernization.
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