AI Solution Architect

Client of AIQU; Medina; On-site; SAR 320,000 - 600,000; Full time

Job summary

Client of AIQU in Riyadh, Saudi Arabia, seeks an AI Solution Architect to lead design, development and deployment of advanced AI solutions, translating business requirements into scalable architectures using Retrieval-Augmented Generation (RAG), Python, and Microsoft Azure.

You will collaborate with data scientists, software engineers and business stakeholders to define roadmaps, ensure security, performance and reliability, and mentor teams on architecture standards and DevOps practices.

Qualifications

• Bachelor degree in Computer Science, Engineering or related field.
• 5-7 years of experience in solution architecture for AI deployments.
• Strong knowledge of Retrieval-Augmented Generation (RAG) frameworks.
• Proficiency in Python for ML, data processing, and integration.
• Hands-on experience with Azure services including Azure ML, Cognitive Services and AKS.
• Excellent communication and ability to engage stakeholders.

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.

Skills

Python

Azure

RAG

Cloud Architecture

Security & HA

Stakeholder Collaboration

DevOps practices

Education

Bachelor's degree in Computer Science or related field

Tools

Azure ML

Cognitive Services

AKS

Kubernetes

Docker

Job description

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 Details Position Title AI Solution Architect Location Riyadh Saudi Arabia Industry IT Experience Required 5 years 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