Job Overview
Architect — AI Financial Intelligence
Location: Riyadh, Saudi Arabia
Seniority Level: Principal / Advanced Professional
Employment Type: Full-time, Permanent
Industry: Fintech, Artificial Intelligence, Data Analytics, WealthTech
Work Model: Remote-first with periodic regional collaboration
Role Mandate
This position is designed for a senior technology professional capable of designing intelligent financial-information environments where machine learning, predictive analytics, real-time data and financial decision systems operate as an integrated architecture.
The Financial Intelligence Architect will translate complex business requirements into secure, scalable data and AI architectures supporting fraud detection, customer intelligence, credit analytics, financial forecasting, automated decisioning, and personalized digital-finance experiences.
Principal Responsibilities
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Design end-to-end architectures for AI-enabled financial intelligence platforms.
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Establish data pipelines supporting real-time and batch financial analytics.
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Develop architectural frameworks for machine-learning models and intelligent decision engines.
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Integrate structured and unstructured financial data sources.
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Define governance standards for model lifecycle management, data quality, lineage, and explainability.
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Work with data scientists and engineering teams to operationalize predictive models.
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Design solutions for fraud analytics, customer segmentation, risk scoring, forecasting, and anomaly detection.
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Evaluate cloud, API, event-streaming, database, and AI technologies.
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Establish technical standards for scalable financial-data platforms.
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Conduct architecture reviews and challenge technical assumptions where necessary.
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Translate executive business objectives into measurable technology outcomes.
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Support development of AI-enabled financial products and intelligent customer experiences.
Required Background
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Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Mathematics, Finance, or a related field.
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8+ years of experience in data architecture, software architecture, AI engineering, financial technology, or advanced analytics.
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Strong knowledge of machine learning and enterprise data platforms.
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Experience with Python, SQL, cloud environments, APIs, distributed systems, and modern data architectures.
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Understanding of financial services, banking data, payments, risk analytics, or investment technology.
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Strong architectural documentation and technical leadership capability.
Preferred Expertise
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Machine Learning Operations (MLOps)
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Real-time analytics
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Data governance
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Predictive modelling
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Generative AI
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Financial risk analytics
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Cloud-native architecture
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API and event-driven systems
Compensation
Indicative Package: SAR 45,000–65,000 monthly + benefits, depending on seniority and technical scope.
Professional Profile
This is an architecture-led position for an individual who can bridge AI engineering, financial intelligence, enterprise data and strategic technology leadership rather than functioning solely as a conventional software architect.
Are you excited about this opportunity?
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