AI (Artificial Intelligence) Architect

Lead end-to-end solution architecture for enterprise AI/ML projects, from requirements gathering through high-level and detailed technical design Conduct architecture evaluations using scenario-based analysis, component modelling, and impact analysis Design and oversee deployment of applied AI systems that are secure, scalable, and performance-optimized Architect and manage enterprise AI solutions using Azure AI Foundry across the full deployment and lifecycle management process Build and implement multi-agent systems using Google Agent Builder and Google SDK for mobile agents Design and implement Advanced RAG (Retrieval-Augmented Generation) architectures for enterprise-scale knowledge management Architect data solutions spanning SQL, NoSQL, vector databases, and knowledge graphs to support AI/ML workloads Collaborate with Arabic-speaking stakeholders to gather and translate business requirements into technical architecture Bridge communication between technical development teams and business stakeholders throughout the project lifecycle Ensure adherence to SDLC best practices across all AI/ML solution development initiatives Evaluate and recommend appropriate AI tools, frameworks, and models for specific business use cases Desired Candidate Profile 8+ years of overall experience in Solution Architecture, including a minimum of 4 years in applied AI/ML projects Bilingual — fluent in Arabic (mandatory) and English Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or Engineering Relevant certifications such as MS Certified AI Developer/Architect, Azure AI Foundry, Google Cloud AI/ML platform certifications, or MS Certified Developer/Architect Strong hands-on expertise in AI concepts, tools, frameworks, and models Proven experience with Azure AI Foundry for enterprise AI deployment and lifecycle management Hands-on expertise with Google Agent Builder, Google SDK for mobile agents, and multi-agent system design Strong knowledge of Advanced RAG techniques for enterprise-scale knowledge management Skilled in database and data architecture, including SQL, NoSQL, vector databases, and knowledge graphs Excellent stakeholder management and communication skills, with the ability to translate technical concepts for business audiences Prior experience in GCC/Middle East enterprise environments preferred Employment Type Full-time