AI Architect (Arabic Speaker)

Overview

AI Architect

Key Responsibilities

• Lead the end-to-end architecture and deployment of AI systems using cloud-native platforms such as Azure AI Foundry and Google Agent Space.
• Utilize NLP, computer vision, predictive analytics, and multi-agent frameworks to accelerate AI solution development.
• Align AI strategies with business priorities in sports performance, medical operations, and education environments.
• Integrate AI capabilities with enterprise systems, including ERP, CRM, sports analytics platforms, and medical record systems.
• Establish seamless data workflows between structured and unstructured data sources through APIs, middleware, and automation.
• Ensure compliance with GDPR, HIPAA, and Qatar data protection regulations while promoting responsible AI governance.
• Deploy, fine-tune, and optimize conversational AI models, applied ML solutions, and knowledge systems for real-world usage.
• Work with business leaders to identify impactful AI use cases and demonstrate ROI via pilot implementations and scaled rollouts.
• Monitor system performance, scalability, and reliability, and drive continuous improvements across AI pipelines.
• Define KPIs and track performance metrics to evaluate the value delivered by AI initiatives.

Requirements

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, IT, or Engineering.
• 8+ years of experience in Solution Architecture, including a minimum of 4 years in applied AI/ML project environments.
• Arabic fluency is mandatory.
• Certifications in Azure AI, Google Cloud AI, or software architecture are preferred.
• Hands-on experience with Azure AI Foundry, Google Agent Builder, vector databases, knowledge graphs, and RAG-based architectures.
• Strong knowledge of SDLC, enterprise architecture, system integration, and technical design documentation.
• Ability to design secure, scalable, and high-performance applied AI systems.
• Excellent communication skills with the ability to convey complex concepts to both technical and business audiences.