Enterprise Analytics and AI Developer
Tasks
- Automate Fabric CI CD for data and AI assets
- Build Power BI semantic models
- Build retrieval-augmented generation pipelines
- Conduct performance scalability and cost optimization tests
- Configure model evaluations and guardrails
- Create automated tests and runbooks
- Design enterprise data and AI architectures
- Harden data and AI solutions with security controls
- Host single and multi agent solutions
- Implement KQL streaming and operational analytics
- Implement Microsoft Fabric data pipelines
- Implement governance and fleet policy enforcement
- Lead end to end technical delivery and production readiness
- Set up telemetry and logging dashboards
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | AI Search | Agent Service | Azure AI | Azure AI Foundry | Azure AI Search | Azure Data | Azure Data Factory | CI/CD | DLP | Data Factory | Data Modeling | Data Vault | ETL | GitHub | Infrastructure as Code | KQL | Lakehouse | Logging | Microsoft Fabric | Monitoring | OAuth | Object-Level Security | OneLake | Power BI | Power BI Datasets | Purview | Python | RAG | RBAC | Retrieval-Augmented Generation | Row Level Security | SAML | SQL | Star Schema | Telemetry | Unit Testing | Vector Databases | Warehouse | “as-code”
Education
N/A
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