AI Architect

🚀 We're Hiring: AI Architect (12+ Years Experience) – Dubai, UAE We're looking for an experienced AI Architect to join a leading enterprise project in Dubai, UAE. 📍 Location: Dubai, UAE 📄 Contract: 1 Year (Extendable) 💰 Salary: Up to AED 20,000/month 📌 Experience: 12+ Years Key Responsibilities: ✅ Define end-to-end AI architecture for GenAI, Agentic AI, and ML platforms ✅ Design scalable LLM-based and multi-agent AI systems ✅ Establish AI platform standards, governance, and best practices ✅ Lead architecture discussions with engineering and business stakeholders ✅ Ensure security, compliance, scalability, and performance of AI solutions ✅ Evaluate AI tools, frameworks, and cloud platforms ✅ Provide technical leadership and mentor engineering teams Required Skills: 🔹 12+ years of IT experience with strong AI/ML architecture expertise 🔹 Hands-on experience with LLMs, RAG, Agentic AI, and Multi-Agent Systems 🔹 Experience with LangChain, LangGraph, and AI orchestration frameworks 🔹 Strong knowledge of AWS, Azure, and/or GCP AI ecosystems 🔹 Enterprise architecture, integration patterns, and cloud-native solution design 🔹 Understanding of data pipelines, MLOps, and the ML lifecycle 🔹 Experience delivering large-scale enterprise AI transformation initiatives If you're interested or know someone who would be a great fit, please send your updated resume or tag them in the comments. Show more Show less

12+ years of IT experience with strong AI/ML architecture expertise. Hands-on experience with LLMs, RAG, Agentic AI, and Multi-Agent Systems. Experience with LangChain, LangGraph, and AI orchestration frameworks. Strong knowledge of AWS, Azure, and/or GCP AI ecosystems. Enterprise architecture, integration patterns, and cloud-native solution design. Understanding of data pipelines, MLOps, and the ML lifecycle. Experience delivering large-scale enterprise AI transformation initiatives.

Define end-to-end AI architecture for GenAI, Agentic AI, and ML platforms. Design scalable LLM-based and multi-agent AI systems. Establish AI platform standards, governance, and best practices. Lead architecture discussions with engineering and business stakeholders. Ensure security, compliance, scalability, and performance of AI solutions. Evaluate AI tools, frameworks, and cloud platforms. Provide technical leadership and mentor engineering teams.