Position: Data & AI Architect
Location: KSA (Onsite)
Duration: 1 Year
Preferred Languages: English; Arabic is a plus
Responsibilities
Design enterprise data architectures including data modeling, data warehousing, and master data management.
Design AI/ML systems in production environments.
Develop and manage cloud data platforms (Azure/AWS/GCP) and up-to-date data stack architectures including data lakes, lakehouse, ETL/ELT pipelines.
Design and oversee AI/ML lifecycle activities including model selection, MLOps, deployment, and monitoring.
Architect LLM/GenAI solutions including RAG pipelines, vector databases, prompt engineering, and model orchestration.
Translate business requirements into technical architecture.
Communicate effectively with engineering teams and executive stakeholders.
Design APIs and system integrations for interconnected platforms and systems.
Ensure alignment with data governance and compliance frameworks.
Support smart-city, government, and enterprise platform initiatives involving multiple stakeholders and integrated systems.
Must Have Skills




Experience
8+ years in data architecture, with 2–3+ years designing AI/ML systems in production.
Strong hands-on experience with cloud data platforms (Azure/AWS/GCP) and modern data stack (data lakes, lakehouse, ETL/ELT pipelines).
Proven experience designing enterprise data architectures (data modeling, data warehousing, master data management).
Solid understanding of AI/ML lifecycle: model selection, MLOps, deployment, monitoring.
Experience with LLM/GenAI architecture (RAG pipelines, vector databases, prompt engineering, model orchestration).
Experience with data governance and compliance frameworks.
Ability to translate business requirements into technical architecture and communicate with both engineering teams and executive stakeholders.
Experience with API design and system integration.
Technical Skills
Data Engineering and Data Architectures – Moderate to Advanced.
AI Engineering – Basic to Interme

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