About the Role / About the Job
We are seeking a skilled Data & AI Architect based in KSA for a 1-year onsite engagement. This role involves designing and implementing enterprise data architectures and AI/ML systems, supporting initiatives across smart-city, government, and enterprise platforms with multiple stakeholders. The successful candidate will work closely with engineering teams and executive stakeholders to translate business requirements into effective technical architecture.
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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.
- 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, and 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 Intermediate.
- Strong SQL skills.
- At least one programming language (Python most common).
Good to Have Skills
Domain & Compliance
- Direct experience with PDPL, NCA ECC, or NDMO frameworks, or similar.
- GDPR/HIPAA experience.
Architecture & Technologies
- AI Advanced Architectures.
- Familiarity with real-time/streaming data architectures (Kafka, event-driven systems).
- Experience with IoT data ingestion (parking sensors, city infrastructure, etc.).
- Enterprise architecture certifications (TOGAF, cloud architect certifications).
Industry Experience
- Experience in government, smart city, or public-sector platforms.
- Vendor/multi-stakeholder environment experience (JV, consortium, or large enterprise with multiple business units).
Language Skills
- English (Preferred).
- Arabic language skills are a plus.
