Lead Data AI Architect
CAN, Ontario, Toronto, 200 Bloor Street East, Canada
CAD 113K-210K Senior-level Full Time
Tasks
- Assess business requirements and define technical specifications
- Conduct discovery of current state data and AI landscape
- Create target data and AI reference architectures
- Define and maintain model governance and lifecycle controls
- Define reference architectures and reusable patterns
- Establish data governance and responsible AI governance
- Guide delivery teams in implementing data and AI architectures
- Improve platform reliability observability and data quality
- Integrate Azure native and partner technologies
- Lead end to end architecture for data and AI solutions
- Maintain architecture documentation standards
- Manage centralized repository for data and AI architecture artifacts
Perks/Benefits
- Dental insurance
- Disability insurance
- Employee assistance program
- Health insurance
- Life insurance
- Paid time off
- Retirement savings plan
- Vision insurance
- Wellness benefits
Skills/Tech-stack
AI Services | AIOps | API Design | Azure | Azure AI | Azure AI Services | Azure Data | Azure Data Lake | Azure Synapse | Azure Synapse Analytics | By Design | CI/CD | Cost Optimization | Data Governance | Data Lake | Data Lakehouse | Data Modeling | Data Privacy | Data Warehouse | Databricks | Dimensional Modeling | Fine Tuning | Generative AI | Infrastructure as Code | LLMOps | MLOps | Machine Learning | Metadata Management | Model Deployment | Model Evaluation | Model Fine-tuning | Monitoring | Observability | Prompt orchestration) | RAG | Security by design | Streaming Data | Synapse Analytics | Testing | Vector Search | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Architect | Architect | Data Architect | Solution Architect
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