Lead the engineering, deployment, and scaling of enterprise-grade AI platforms. Build production-ready GenAI, RAG, and ML systems, mentor engineers, and ensure reliability and observability across AI operations.

Key Responsibilities:

• Architect and implement Conversational AI, LLM agents, multi-agent workflows, and automation frameworks.
• Develop APIs/SDKs for enterprise AI services and optimize RAG pipelines with vector DB integrations.
• Drive MLOps on Azure: CI/CD, monitoring, retraining, and performance tuning.
• Translate research into applied solutions and lead PoC evaluations.
• Manage end-to-end delivery, UAT, and production rollout readiness.

Must-Have Skills:

• Data Science on Azure, Generative AI Fundamentals, Machine Learning Solution Design
• Python (Strong) and advanced RAG Workflow experience
• Hands-on with agentic workflows and scalable LLM integrations

Arabic proficiency is a plus.