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.
