A career in the company 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 and robust company technology, you’ll have the tools to drive meaningful change and accelerate client impact. At the company Consulting, curiosity fuels success. You’ll 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.
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As a Data and AI Architect, you will design and implement cognitive solutions that run on multiple platforms and comprise multiple 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.
Education Requirements:
- Preferred: Master's Degree
Required Technical and Professional Expertise:
- Deep understanding of system engineering principles and cloud architectures to design and implement cognitive solutions.
- Proficiency in cognitive technology, particularly in using the Watson technology suite for selecting complementary analytics components and developing solution blueprints.
- Knowledge of content management systems to ensure seamless integration and processing of content in Cognitive Computing solutions.
- Experience in performance architecture and engineering of fully functional cognitive systems, focusing on scalability, reliability, and efficiency.
- Leadership experience in developing, integrating, and testing complex cognitive solutions, guiding cross-functional teams to achieve desired outcomes.
Preferred Technical and Professional Experience:
- Familiarity with cloud platforms and probabilistic systems for designing and implementing cognitive solutions.
- Understanding of various data sources and content formats for seamless integration and processing in Cognitive Computing solutions.
