Lead Data AI Architect
CAN, Ontario, Toronto, 200 Bloor Street East, Canada
CAD 113K-210K Senior-level Full Time
Tasks
- Align solution architecture with business strategy
- Conduct discovery of current state data and AI
- Create target data and AI reference architectures
- Define reference architectures and reusable patterns
- Document data and AI inventories and capabilities
- Ensure data governance security and responsible AI
- Evaluate and integrate Azure data and AI services
- Govern reusable data ML and GenAI patterns
- Improve reliability observability data quality and model performance
- Integrate emerging data and AI technologies
- Lead architecture for data and AI solutions
- Maintain architecture documentation standards and version control
- Maintain centralized repository of architecture artifacts
- Partner with engineering product data science security and risk teams
Perks/Benefits
- Dental insurance
- Employee assistance program
- Health insurance
- Life insurance
- Paid time off
- Retirement savings plan
- Vision insurance
- Wellness benefits
Skills/Tech-stack
AIOps | API Management | API Standards | Analytics | Azure | CI/CD | Cost Optimization | Data Governance | Data Lake | Data Modeling | Data Quality | Data Warehouse | Deployment Patterns | Evaluation | Fine Tuning | Generative AI | Infrastructure as Code | Interoperability | LLMOps | MLOps | Machine Learning | Metadata Management | Model Fine-tuning | Model Governance | Model versioning | Monitoring | Observability | Privacy | Prompt orchestration) | RAG | Security | Streaming | Testing | Vector Search | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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