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 modern 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.
- Solid 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 Adv

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