PpIntroduction: 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. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. 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. Our culture of growth and empathy focuses on your long‑term career development while valuing your unique skills and experiences. /p h3Your Role And Responsibilities /h3 pAs 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 include: /p ul liDesign Technical Solutions: Create the technical solution architecture for a given business problem, utilizing system engineering principles, cloud architectures, and probabilistic and stochastic systems. /li liLead Solution Development: Lead the development, integration, and testing of cognitive solutions, ensuring performance architecture and engineering of a fully functional cognitive system. /li liSelect Analytics Components: Choose complementary analytics components for developing solution blueprints, considering content formats, representations, data sources, content management systems, and interfaces. /li liDevelop Solution Blueprints: Create solution blueprints that account for the full information path from source to knowledge base and from input to processing of content in Cognitive Computing solutions. /li liIntegrate Cognitive Technology: Utilize the common Enterprise AI technologies suite and integrate cognitive technology to develop comprehensive solutions. /li /ul h3Preferred Education /h3 pNone /p h3Required Technical And Professional Expertise /h3 ul liSystem Engineering Principles: Experience with system engineering principles, including system decomposition techniques and the art of system synthesis using available cognitive technology. /li liCognitive Technology: Experience with the Enterprise AI technologies suite and Architectures, including their integration and application in developing comprehensive solutions. /li liContent Management Systems: Experience with content formats, representations, data sources, content management systems, and interfaces, including their application in cognitive computing solutions. /li liCloud Architectures: Experience with cloud architectures and their application in designing and implementing cognitive solutions. /li liProbabilistic and Stochastic Systems: Experience with probabilistic and stochastic systems, including their application in cognitive computing solutions. /li /ul h3Preferred Technical And Professional Experience /h3 pFamiliarity with Complementary Analytics: Experience with selecting and integrating complementary analytics components to develop comprehensive cognitive solutions, considering performance architecture and engineering requirements. /p ul liKnowledge of Emerging Technologies: Experience with emerging technologies and trends in cognitive computing, including Agentic AI Systems and solutions, Large Language Models, advancements in natural language processing, machine learning, and expert systems. /li liUnderstanding of Industry Applications: Experience with applying cognitive computing solutions to various industries, including healthcare, finance, and customer service, to drive business value and improve decision‑making. /li /ul pKnowledge of application of Agentic AI to corporate processes (financial, HR, procurement,…) is considered as a plus. /p /p #J-18808-Ljbffr