Senior Data & AI Solution Architect
CAN, Ontario, Toronto, 200 Bloor Street East, Canada
CAD 113K-179K (estimate) Senior-level Full Time
Tasks
- Approve solution designs
- Define CI CD and infrastructure as code deployments
- Define monitoring observability and cost optimization
- Define non-functional requirements
- Design APIs and data contracts
- Design end-to-end data and AI solutions
- Design event-driven architectures
- Embed security privacy and AI governance controls
- Enforce MLOps and LLMOps
- Ensure data governance and lineage
- Ensure data quality and interoperability
- Ensure production readiness
- Guide engineering and data science teams during implementation
- Implement GenAI architectures
- Implement RAG and vector search
- Implement data ingestion and lakehouse patterns
- Implement machine learning pipelines
- Lead architecture decisions and trade offs
- Produce high-level and low-level designs
- Resolve technical blockers
Perks/Benefits
- Dental insurance
- Employee assistance program
- Health insurance
- Mental health benefits
- Paid time off
- Retirement savings plan
- Vision insurance
- Wellness benefits
Skills/Tech-stack
APIs | Azure | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure Machine Learning | Azure OpenAI | CI/CD | Cost Optimization | Data Contracts | Data Governance | Data Lake Storage | Data Modeling | Data Products | Data mesh | Databricks | Event Driven | Event-driven architecture | Fabric | Infrastructure as Code | LLMOps | Lakehouse | MLOps | Machine Learning | Metadata Management | Model Evaluation | Model Monitoring | Monitoring | Observability | Privacy & Security | Prompt orchestration) | RAG | Semantic Search | Synapse | Vector Databases | Vector Search | Versioning | “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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