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

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

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