Data and AI Architect
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Key skills for this role
About the Role
IBM is seeking a Data and AI Architect to design and implement cognitive solutions. The role involves creating technical solution architectures, leading development and integration, and selecting analytics components.
Key Skills for This Role
Responsibilities
- 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
Requirements
- Deep understanding of system engineering principles
- Proficiency in cognitive technology including Watson technology suite
- Content management systems knowledge
- Performance architecture expertise
- Solution development leadership experience
- Master's Degree preferred
Full Job Posting
Introduction
- A career in IBM 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.
- At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results.
Your Role And Responsibilities
- 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: Experience with system engineering principles, cloud architectures, probabilistic and stochastic systems, and system decomposition techniques.
- Proficiency in Cognitive Technology: Deep expertise in cognitive technology, including the Watson technology suite.
- Content Management Systems Knowledge: Experience with content formats, representations, data sources, content management systems, and interfaces.
- Performance Architecture Expertise: Experience in performance architecture and engineering of fully functional cognitive systems.
- Solution Development Leadership: Experience leading the development, integration, and testing of complex cognitive solutions.
Preferred Technical And Professional Experience
- Familiarity with Cloud Platforms: Deep expertise in cloud architectures, including scalability, reliability, and efficiency considerations.
- Knowledge of Probabilistic Systems: Experience with probabilistic and stochastic systems.
- Understanding of Data Sources: Experience with various data sources, content formats, and representations.
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