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. With support from strategic partners and robust the company technology, you’ll have the tools to drive meaningful change and accelerate client impact. At the company Consulting, curiosity fuels success. You will be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
Ready to apply for roles like this?
Unlock the company name and direct application link. Subscribers get instant access to fresh jobs across Dubai, Abu Dhabi and Riyadh, many with visa support.
Unlock employer & apply directly
As a Solution Architect for Cognitive Computing, you will design and implement cognitive solutions that run on multiple platforms and consist of various software packages. 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.
Required Technical and Professional Expertise:
- Deep understanding of system engineering principles, cloud architectures, probabilistic and stochastic systems, and system decomposition techniques.
- Proficiency in cognitive technology, particularly the Watson technology suite.
- Knowledge of content management systems, content formats, representations, and data sources to ensure integration and processing.
- Expertise in performance architecture and engineering of cognitive systems.
- Experience leading the development, integration, and testing of complex cognitive solutions, guiding cross-functional teams.
Preferred Education:
Preferred Technical and Professional Experience:
- Familiarity with cloud platforms, considering scalability, reliability, and efficiency.
- Knowledge of probabilistic and stochastic systems.
- Understanding of various data sources and content formats for seamless integration in Cognitive Computing solutions.
