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Data and AI Architect

Unlock employer Riyadh, Saudi Arabia Posted: 14 Jun 2026

Financial

  • Estimate: $130k - $180k*
  • Zero income tax location

Accessibility

  • Office Only
  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Unspecified
  • English: Professional

Position

As a Solution Architect: Cognitive Computing, you will design and implement cognitive solutions that run on multiple platforms and are composed of multiple software packages. You will create the technical solution architecture for a given business problem and lead the development, integration, and testing of the solution.

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Your primary responsibilities will include:

  • Design Cognitive Solutions: Create technical solution architectures for business problems, utilizing system engineering principles, cloud architectures, and probabilistic and stochastic systems.
  • Lead Solution Development: Guide the development, integration, and testing of cognitive solutions, ensuring performance architecture and engineering of a fully functional cognitive system.
  • Select Analytics Components: Choose complementary analytics components for developing solution blueprints, considering content formats, representations, data sources, content management systems, and interfaces.
  • Develop Solution Blueprints: Account for the full information path from source to knowledge base and from input to processing the content in Cognitive Computing solutions.
  • Engineer Cognitive Systems: Apply system decomposition techniques and system synthesis using available cognitive technology, including the Watson technology suite.

Location: Riyadh, Riyadh, Saudi Arabia
Work Arrangement: Onsite
Employment Type: Fixed Term (Fixed Term)
Travel Required: Up to 60% or 3 days a week (home on weekends - based on project requirements)
Shift: General (daytime)

Requirements:

  • Required Education: Bachelor's Degree
  • Preferred Education: Master's Degree
  • Required Technical and Professional Expertise:
    • Deep understanding of system engineering principles and cloud architectures.
    • Proficiency in cognitive technology, including the Watson technology suite.
    • Knowledge of content management systems and various data sources.
    • Experience in performance architecture and engineering of cognitive systems.
    • Leadership experience in the development, integration, and testing of complex cognitive solutions.

Preferred Technical and Professional Experience:

  • Familiarity with cloud platforms and their architecture.
  • Understanding of probabilistic and stochastic systems.
  • Experience with various data sources and content representations.
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