About the Job
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
Introduction
A career in consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from strategic partners, robust technology, and tools, you’ll have the capability to drive meaningful change and accelerate client impact. Curiosity fuels success in this role, as you’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. The culture focuses on growth and empathy, valuing your unique skills and experiences while supporting long-term career development.
Your Role and Responsibilities
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. 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.
Preferred Education
Master's Degree
Required Technical and Professional Expertise
- Deep Understanding of System Engineering Principles: Experience with system engineering principles, cloud architectures, probabilistic and stochastic systems, and system decomposition techniques to design and implement cognitive solutions.
- Proficiency in Cognitive Technology: Deep expertise in cognitive technology, including the Watson technology suite, to select complementary analytics components and develop solution blueprints.
- Content Management Systems Knowledge: Experience with content formats, representations, data sources, content management systems, and interfaces to ensure seamless integration and processing of content in Cognitive Computing solutions.
- Performance Architecture Expertise: Experience in performance architecture and engineering of fully functional cognitive systems, considering scalability, reliability, and efficiency.
- Solution Development Leadership: Experience leading the development, integration, and testing of complex cognitive solutions, guiding cross-functional teams to achieve desired outcomes.
Preferred Technical and Professional Experience
- Familiarity with Cloud Platforms: Deep expertise in cloud architectures, including scalability, reliability, and efficiency considerations, to design and implement cognitive solutions.
- Knowledge of Probabilistic Systems: Experience with probabilistic and stochastic systems to develop solution blueprints and engineer cognitive systems.
- Understanding of Data Sources: Experience with various data sources, content formats, and representations to ensure seamless integration and processing of content in Cognitive Computing solutions.
