Senior Azure AI Architect
منذ 19 ساعات
Dubai, Dubai Emirate, الإمارات العربية المتحدة
Capgemini
دوام كامل
350,000 € - 520,000 € عقد
مجانًا عبر البريد الإلكتروني أو Google
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مجانًا عبر البريد الإلكتروني أو Google
Your Role
Lead architecture and technical design for enterprise Azure AI solutions across GenAI agentic AI RAG AI Search integration security observability and AI Factory platform patterns Design Azure AI architectures for GenAI agentic AI RAG enterprise copilots and AI Factory platforms Define patterns across Azure AI Foundry Azure OpenAI Azure AI Search Azure ML Fabric Databricks and integration services Lead technical discovery with IT data security and enterprise architecture stakeholders Create reference architectures proposal solution blueprints technical assumptions and PoC plans Guide MVPs covering environment setup secure connectivity data ingestion retrieval agents evaluation and monitoring Embed guardrails content safety logging identity access control and human oversight into designs
Experience and Skills Required
- 8-12 years in solution architecture cloud architecture data AI architecture or platform engineering
- 4-5 years designing Azure solutions ideally with production AI or client-facing implementations
- Hands-on GenAI RAG LLM app agentic AI MLOps LLMOps or AI platform engineering exposure
- Secure enterprise integration experience identity APIs private networking monitoring and cloud governance
- Strong experience in Python is a plus but it s knowledge is mandatory
- Azure AI Foundry and Azure OpenAI
- Azure AI Search vector search embeddings and RAG
- Azure Machine Learning evaluation and deployment concepts
- Microsoft Fabric Azure Databricks ADLS Gen2 and data integration
- Azure Functions Logic Apps Event Grid Service Bus and API Management
- Entra ID managed identities Key Vault private endpoints VNet integration RBAC and logging
- Agentic AI tool calling orchestration memory observability and evaluation
- Preferred certifications Azure Solutions Architect Expert and Azure AI Engineer Associate
- Experience in AI and Cloud FinOps
- 8-12+ years in solution architecture, cloud architecture, data/AI architecture or platform engineering.
- 4-5+ years designing Azure solutions, ideally with production AI or client-facing implementations.
- Hands-on GenAI, RAG, LLM app, agentic AI, MLOps/LLMOps or AI platform engineering exposure.
- Secure enterprise integration
experience:
identity, APIs, private networking, monitoring and cloud governance.
- Strong experience in Python is a plus but it s knowledge is mandatory.
- Azure AI Foundry and Azure OpenAI.
- Azure AI Search, vector search, embeddings and RAG.
- Azure Machine Learning, evaluation and deployment concepts.
- Microsoft Fabric, Azure Databricks, ADLS Gen2 and data integration.
- Azure Functions, Logic Apps, Event Grid, Service Bus and API Management.
- Entra ID, managed identities, Key Vault, private endpoints, VNet integration, RBAC and logging.
- Agentic AI, tool calling, orchestration, memory, observability and evaluation.
- Preferred certifications: Azure Solutions Architect Expert and Azure AI Engineer Associate.
- Experience in AI and Cloud FinOps
- 8-12 years in solution architecture cloud architecture data AI architecture or platform engineering
- 4-5 years designing Azure solutions ideally with production AI or client-facing implementations
- Hands-on GenAI RAG LLM app agentic AI MLOps LLMOps or AI platform engineering exposure
- Secure enterprise integration experience identity APIs private networking monitoring and cloud governance
- Strong experience in Python is a plus but it s knowledge is mandatory
- Azure AI Foundry and Azure OpenAI
- Azure AI Search vector search embeddings and RAG
- Azure Machine Learning evaluation and deployment concepts
- Microsoft Fabric Azure Databricks ADLS Gen2 and data integration
- Azure Functions Logic Apps Event Grid Service Bus and API Management
- Entra ID managed identities Key Vault private endpoints VNet integration RBAC and logging
- Agentic AI tool calling orchestration memory observability and evaluation
- Preferred certifications Azure Solutions Architect Expert and Azure AI Engineer Associate
- Experience in AI and Cloud FinOps
- 8-12+ years in solution architecture, cloud architecture, data/AI architecture or platform engineering.
- 4-5+ years designing Azure solutions, ideally with production AI or client-facing implementations.
- Hands-on GenAI, RAG, LLM app, agentic AI, MLOps/LLMOps or AI platform engineering exposure.
- Secure enterprise integration
experience:
identity, APIs, private networking, monitoring and cloud governance.
- Strong experience in Python is a plus but it s knowledge is mandatory.
- Azure AI Foundry and Azure OpenAI.
- Azure AI Search, vector search, embeddings and RAG.
- Azure Machine Learning, evaluation and deployment concepts.
- Microsoft Fabric, Azure Databricks, ADLS Gen2 and data integration.
- Azure Functions, Logic Apps, Event Grid, Service Bus and API Management.
- Entra ID, managed identities, Key Vault, private endpoints, VNet integration, RBAC and logging.
- Agentic AI, tool calling, orchestration, memory, observability and evaluation.
- Preferred certifications: Azure Solutions Architect Expert and Azure AI Engineer Associate.
- Experience in AI and Cloud FinOps