Required Experience

- 12+ years of Data, Cloud, AI/ML, or Solution Architecture experience.
- 5+ years designing enterprise-scale Azure and Databricks solutions.
- 3+ years architecting Generative AI and Agentic AI solutions.
- Experience building metadata-driven data platforms and onboarding frameworks.
- Experience in Insurance, MGA, Programs, Bordereaux Processing, or Data Modernization initiatives preferred.

Technical Skills

- AI & Agentic AI
- Azure OpenAI
- Anthropic Claude
- Google Gemini
- LangGraph
- LangChain
- AutoGen
- CrewAI
- LlamaIndex
- Databricks Mosaic AI
- Databricks Ecosystem
- Databricks Mosaic AI
- Databricks Vector Search
- Delta Lake
- Unity Catalog
- MLflow
- Lakeflow Pipelines
- Databricks SQL
- Azure Platform
- Azure OpenAI
- Azure AI Search
- Azure Data Lake Storage
- Azure Functions
- Azure DevOps
- Azure Kubernetes Service
- Data Engineering
- Python
- PySpark
- SQL
- Spark
- API Integrations
- Metadata-driven Framework Design
- Data Quality & Data Governance

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📌 AI Architect (Toronto)
🏢 Cloudious
📍 Toronto