Senior Analyst, Enterprise AI & Gen AI
Tasks
- Build AI agents
- Build LLM applications
- Collaborate with stakeholders
- Create multi agent solutions
- Design enterprise AI solutions
- Develop AI APIs and workflows
- Develop enterprise AI architectures
- Ensure privacy and security compliance
- Establish AI governance frameworks
- Implement MLOps and LLMOps
- Implement rag pipelines
- Integrate AI services with enterprise data platforms
- Manage AI solution lifecycle
- Monitor and evaluate AI solutions
- Operationalize AI solutions
- Set up deployment pipelines
Perks/Benefits
- Career development opportunities
- Corporate discounts
- Flexible work environment
- On-site gym
- Pension Plan HOOPP
- Promotions within large organization
- Transit access
- UHN shuttle service
Skills/Tech-stack
AI Agents | AI Foundry | AI Governance | AI Search | APIs | Agent Framework | Agentic Workflows | Azure AI | Azure AI Foundry | Azure AI Search | Azure Data | Azure Data Lake | Azure Data Platform | Azure Machine Learning | Azure OpenAI | CI/CD | Data Lake | Data platform | Databricks | Embeddings | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Machine Learning | Microsoft Agent | Microsoft Agent Framework | Microsoft Fabric | Model Evaluation | Model Monitoring | Observability | Privacy | Prompt engineering | Python | Responsible AI | Retrieval-Augmented Generation | SQL | Security | Semantic Kernel | Tool-Calling | Vector Search
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