Senior Data & AI Solution Architect
CAN, Ontario, Toronto, 200 Bloor Street East, Canada
CAD 113K-163K Senior-level Full Time
Tasks
- Architect Azure based data and AI services
- Define CI CD and infrastructure as code deployment patterns
- Define monitoring observability and cost optimization strategies
- Define solution blueprints and NFRs
- Design APIs data contracts and event driven architectures
- Design end-to-end data and AI solutions
- Embed security privacy and responsible AI governance controls
- Enforce MLOps and LLMOps practices
- Ensure data governance quality lineage and interoperability
- Guide engineering and data science during implementation
- Implement ML pipelines and GenAI RAG patterns
- Implement ingestion and lakehouse patterns
- Lead architecture decisions and trade offs
- Resolve technical blockers for production readiness
- Review and approve solution designs
Perks/Benefits
- Adoption support
- Dental insurance
- Disability insurance
- Employee assistance program
- Family assistance plans
- Flexible-hybrid work
- Health insurance
- Life insurance
- Mental health benefits
- Paid time off
- Retirement savings plan
- Vision insurance
- Wellness benefits
Skills/Tech-stack
API Design | Azure | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure Databricks | Azure Fabric | Azure Machine Learning | Azure OpenAI | Azure OpenAI Service | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Contracts | Data Governance | Data Lake Storage | Data Lineage | Data Modeling | Data Quality | Event Driven | Event-driven architecture | Generative AI | Infrastructure as Code | LLMOps | Lakehouse | MLOps | Machine Learning | Metadata Management | Model Evaluation | Model Monitoring | OpenAI Service | Privacy | Prompt orchestration) | Prompt versioning | RAG | Security | Synapse Analytics | Vector Databases | Vector Search | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Solution Architect | Architect | Data Architect | Solution Architect
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