AI Domain architect 6916
Tasks
- Build model evaluation pipelines
- Build proofs of concept
- Create AI safety standards
- Create architecture documentation
- Create technical standards and decision records
- Define AI retrieval reasoning workflows
- Define RAG fine tuning and prompting strategy
- Define business rules and terminology
- Define dataset preparation labeling provenance governance
- Define domain entities and relationships
- Define human in the loop checkpoints
- Deploy models on Azure
- Design agentic AI workflows
- Design knowledge graphs
- Design ontologies
- Develop AI agents
- Develop reusable AI patterns
- Provide technical reference and escalation
Perks/Benefits
- N/A
Skills/Tech-stack
AI Safety | Agentic AI | Azure Compute | Azure Data | Azure Data Storage | Azure Networking | Azure identity | Data Storage | Data labeling | Data provenance | Dataset governance | Domain Modeling | Fine Tuning | Human-in-the-loop | Knowledge graphs | Language Models | Large Language Models | Microsoft Azure | Microsoft Foundry | Model Deployment | Model Evaluation | Ontology Engineering | Prompt engineering | RAG | Retrieval-Augmented Generation | Semantic layer | The Loop
Education
N/A
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