Senior Lead Data & AI Engineer
Toronto, CAN, Canada
R
CAD 144K-170K (estimate) Senior-level Full Time
Tasks
- Architect data and AI engineering frameworks
- Build feature engineering pipelines
- Configure Lakehouse jobs for automation
- Deploy AI workflows
- Deploy Retrieval-Augmented Generation pipelines
- Develop MCP enabled integrations
- Enable AI observability
- Ensure event driven inference deployment
- Implement Delta Live Tables
- Implement Graph RAG
- Implement data governance and metadata management
- Integrate AI models with data pipelines
- Manage AI agent lifecycles
- Monitor and scale AI agents
- Orchestrate Databricks workflows
- Process real-time data streams
- Schedule and monitor AI agent deployments
- Standardize data ingestion and transformation
Perks/Benefits
Skills/Tech-stack
AI Agents | AWS | AWS Glue | AWS Step Functions | AgentBricks | AgentOps | Amazon Bedrock | Data Modeling | Data Streaming | Databricks | Databricks Workflows | Delta Live Tables | Delta Live) | Event Driven | Event-driven architecture | Graph RAG | Job orchestration | Lakeflow | Lakehouse | Langgraph | MCP | MWAA | Real Time | Real-Time Data Streaming | Real-time Data | Retrieval-Augmented Generation | SageMaker | Step Functions | Unity Catalog
Education
N/A
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