AI Solution Architect

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

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