Senior AI Lead: Databricks
Mississauga, 1 City Centre, DCN, Canada
CAD 131K-278K Senior-level Full Time
Tasks
- Architect AI native solutions on Databricks
- Build containerized microservices and serverless systems
- Conduct design workshops and proofs of concept
- Define agent evaluation metrics
- Design enterprise ready AI agents
- Develop AI provider abstraction layers
- Establish lakehouse data foundations
- Integrate LLM APIs and monitoring
- Operate MLOps and LLMOps pipelines with CI CD
- Process distributed datasets with Apache Spark
- Tailor and deploy agentic applications
Perks/Benefits
Skills/Tech-stack
Agent systems | Anthropic | Apache Spark | Autogen | CI/CD | Containerization | CrewAI | DLT | Databricks | Delta Lake | Evaluation | Event Driven | Event-driven architecture | Google Vertex | Google Vertex AI | Infrastructure as Code | Java | Lakehouse | Langgraph | Logging | MLflow | Microservices | Model Monitoring | Model Serving | Monitoring | Mosaic AI | Multi-Agent | Multi-Agent Systems | Observability | OpenAI API | Orchestration | Policy Based Routing | Policy-based | Prompt management | Python | Retrieval-Augmented Generation | Serverless | Tool invocation | Unity Catalog | Vector Search | Vertex AI | “as-code”
Education
Roles
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