Sr. AI Architect
Tasks
- Convert prototypes into production ready architectures
- Define identity and access controls for AI solutions
- Design AI lab validation environments
- Design data access and networking for AI solutions
- Design secure AI applications
- Establish center of excellence architecture standards
- Evaluate AI architecture risks
- Lead architecture workshops
- Mentor AI engineers and architects
- Review code and testing evidence
- Translate business requirements into AI roadmaps
- Validate new AI platforms and connectors
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | APIs | Access Control | Agent Orchestration | Audit Logging | Azure AI | Azure AI Foundry | Azure Container | Azure Container Apps | Azure Functions | Azure OpenAI | Azure SQL | CI/CD | Cloud apps | Container Apps | Cosmos DB | Data Loss Prevention | Data loss | Defender for Cloud Apps | Docker | Embeddings | Entra ID | GitHub Actions | Hybrid search | Infrastructure as Code | Least Privilege | Loss prevention | Microsoft 365 | Microsoft Azure | Microsoft Defender | Microsoft Defender for Cloud | Microsoft Defender for Cloud Apps | Microsoft Entra | Microsoft Entra ID | Microsoft Graph | Microsoft Intune | Microsoft Purview | Networking | Observability | PostgreSQL | Python | RAG | Retrieval-Augmented Generation | Role-Based Access | Role-Based Access Control | Secrets management | Sensitivity Labels | SharePoint | Snowflake | Vector Search | “as-code”
Education
N/A
Roles
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