GenAI Architect - Application Architect

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. As an Information Architect specializing in Analytics Solutions Portfolio, you will focus on managing all aspects of data and information from business requirements to logical and physical design. You will span the full information management lifecycle, covering acquisition, cleanse, transform, classify, storage, presentation, distribution, security, privacy, and archiving. Your primary responsibilities will include: • Design Centralized Systems: Design centralized or distributed systems that address user requirements and perform efficiently and effectively, considering databases, file systems, and storage management. • Develop Information Management Lifecycle: Oversee the full information management lifecycle, ensuring data is properly acquired, cleansed, transformed, classified, stored, presented, distributed, secured, and archived. • Cover Analytics Solutions Portfolio: Focus on the Analytics Solutions Portfolio, applying expertise in document imaging, knowledge and content management, taxonomies, and business intelligence to meet business needs. • Ensure Efficient Performance: Ensure designed systems perform efficiently and effectively, meeting user requirements and business needs. • Address User Requirements: Address user requirements and business needs through effective information management and system design. • Data Management Expertise: Experience with managing all aspects of data and information from business requirements to logical and physical design, including databases, file systems, and storage management. • Information Lifecycle Management: Experience in overseeing the full information management lifecycle, covering acquisition, cleanse, transform, classify, storage, presentation, distribution, security, privacy, and archiving. • Analytics Solutions Knowledge: Experience with document imaging, knowledge and content management, taxonomies, and business intelligence, with a focus on the Analytics Solutions Portfolio. • System Design and Performance: Experience designing centralized or distributed systems that address user requirements and perform efficiently and effectively. • Information Security and Privacy: Experience ensuring data security, privacy, and archiving, meeting business needs and user requirements. • Database Design Expertise: Experience with relational, hierarchical, and object-oriented databases, including database modeling and schema design. Familiarity with database management systems and data modeling tools. • Taxonomy Development Knowledge: Experience with developing and implementing taxonomies and classification systems to support information management and analytics solutions. • Business Intelligence Exposure: Exposure to business intelligence tools and technologies, including data visualization and reporting, to support analytics solutions and business decision-making. United States Software Engineering Hybrid Professional Columbus, US (0147) International Business Machines Corporation