Senior Data & AI Solution Architect
CAN, Ontario, Toronto, 200 Bloor Street East, Canada
CAD 113K-163K Senior-level Full Time
Tasks
- Define CI CD and IaC deployment patterns
- Define data contracts and APIs
- Define monitoring observability and cost optimization strategies
- Define non-functional requirements
- Design data integration and event driven architectures
- Design end-to-end data and AI solutions
- Enforce MLOps and LLMOps practices
- Ensure data quality and data lineage
- Ensure security privacy and AI governance controls
- Guide engineering and data science teams during build and deployment
- Implement ML pipelines and GenAI use cases
- Implement RAG and vector search architectures
- Implement data ingestion and lakehouse patterns
- Lead architecture decisions and trade offs
- Produce HLDs and LLDs
- Resolve technical blockers
- Review and approve solution designs
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | Azure | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure ML | Azure OpenAI | Azure Synapse | Azure Synapse Analytics | CI/CD | Cost Optimization | Data Governance | Data Lake Storage | Data Lineage | Data Modeling | Data Quality | Data integration | Databricks | Event Driven | Event-driven architecture | Fabric | Infrastructure as Code | LLMOps | Lakehouse Architecture | MLOps | Metadata Management | Model Evaluation | Model Monitoring | Model Risk Management | Model risk | Monitoring | Observability | Privacy & Security | Prompt orchestration) | RAG | Responsible AI | Retrieval-Augmented Generation | Risk Management | Synapse Analytics | Vector Search | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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