A career in the company Consulting is built on long-term client relationships and close collaboration worldwide. You will work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. Your role and responsibilities as a Solution Architect: Cognitive Computing will involve designing and implementing cognitive solutions that run on multiple platforms and are composed of multiple software packages.
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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
Travel Requirements: Up to 60% or 3 days a week (home on weekends - based on project requirements)
Employment Type: Regular
Position Type: Professional
Requirements
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Required Education: Bachelor's Degree
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Preferred Education: Master's Degree
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Required Technical and Professional Expertise:
- Deep understanding of System Engineering Principles
- Proficiency in Cognitive Technology, including the Watson technology suite
- Experience with content management systems
- Performance architecture expertise
- Solution development leadership experience
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Preferred Technical and Professional Experience:
- Familiarity with cloud platforms
- Knowledge of probabilistic systems
- Understanding of various data sources
