مهندس حلول الذكاء الاصطناعي

About the Role:

As an AI Solution Architect based in Riyadh, you will lead the design, development, and deployment of cutting-edge AI solutions. You will translate business requirements into scalable, secure architectures by leveraging Retrieval-Augmented Generation (RAG), Python programming, and Microsoft Azure cloud services. You will collaborate with cross-functional teams, drive technical excellence, and ensure optimal performance and reliability of AI systems across the organization.

Responsibilities:

• Design and implement end-to-end AI solution architectures, including data ingestion, processing, storage, and serving layers
• Develop and deploy Retrieval-Augmented Generation (RAG) pipelines for knowledge-intensive applications
• Build scalable, cloud-native solutions using Microsoft Azure services (e.g., Azure ML, Cognitive Services, AKS)
• Write, review, and optimize Python code for model training, inference, and integration
• Collaborate with data scientists, software engineers, and business stakeholders to define solution requirements and roadmaps
• Ensure best practices in security, scalability, high availability, and performance tuning
• Create architectural diagrams, technical documentation, and conduct design reviews
• Mentor and guide development teams on architecture standards, coding practices, and DevOps processes

Preferred Qualifications:

• Azure Solutions Architect Expert or Azure AI Engineer Associate certification
• Master s degree in Artificial Intelligence, Data Science, or a related discipline
• Experience with container orchestration tools such as Kubernetes and Docker
• Familiarity with MENA region data privacy, regulatory, and compliance standards
• Bilingual proficiency in English and Arabic
• Prior experience in consulting or client-facing engagements

Position Details

• Position Title: AI Solution Architect
• Location: Riyadh, Saudi Arabia
• Industry: IT
• Experience Required: 5+ years

Desired Candidate Profile

Required Qualifications:

• Bachelor s degree in Computer Science, Engineering, or a related field
• 5-7 years of experience in solution architecture or similar roles, with a focus on AI implementations
• Proven expertise designing and deploying AI-driven solutions in production environments
• Strong knowledge of Retrieval-Augmented Generation (RAG) frameworks and methodologies
• Proficiency in Python for machine learning, data processing, and system integration
• Hands-on experience with Microsoft Azure services, including Azure ML, Cognitive Services, and AKS
• Deep understanding of cloud architecture principles, security best practices, and DevOps workflows
• Excellent verbal and written communication skills, with ability to engage stakeholders at all levels