Senior Azure AI Architect

Capgemini; Dubai; On-site; AED 350,000 - 520,000; Full time

Job summary

Capgemini Dubai seeks an experienced enterprise architect to lead architecture and technical design for Azure AI solutions, GenAI and RAG integrations, and AI Factory platform patterns across security observability and data workflows.

You will define reference architectures, create PoCs, and guide MVPs, collaborating with IT, data security, and enterprise stakeholders to embed guardrails, logging, identity management and governance. Strong Python skills and Azure certifications preferred.

Qualifications

• Experience leading enterprise AI/Cloud architecture initiatives.
• Proven ability to design scalable Azure AI architectures.
• Strong collaboration with security and governance teams.
• Hands-on experience with GenAI, RAG, and AI platform engineering is preferred.

Responsibilities

• Lead architecture and technical design for Azure AI solutions across GenAI, RAG, and AI Factory platforms.
• Define reference architectures and PoCs; create solution blueprints and technical assumptions.
• Guide MVPs including environment setup, secure connectivity, data ingestion and monitoring.
• Embed guardrails, logging, identity access control and human oversight into designs.

Skills

Technical leadership

Cross-functional collaboration

Communication

Strategic thinking

Problem solving

Tools

Azure AI Foundry

Azure OpenAI

Azure Databricks

ADLS Gen2

Azure Functions

Key Vault

Entra ID

RBAC & IAM

Service Bus

MLOps

Job description

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