Information Architect

We're seeking an Information Architect who will build and implement cutting-edge technology solutions that power how our global workforce accesses and leverages organizational knowledge. We're looking for someone with hands-on development skills who can configure, deploy, and manage scalable content and knowledge systems. You will have direct experience implementing AI/ML solutions, especially for content intelligence and knowledge automation, and excels at turning strategic requirements into working technical solutions through prototyping, system integration, and iterative development.

Information Architect Responsibilities:

• Create and use AI to make content systems smarter, so content is automatically better, personalized, and delivered proactively
• Build context rich information representation models to power NLP and LLMs with smart content
• Help build APIs for smooth knowledge sharing across all platforms and new tech
• Implement content system infrastructure using generative AI, semantic search engines, and predictive analytics models, building scalable technical solutions that anticipate organizational knowledge requirements
• Build and deploy connected knowledge system integrations between HR platforms and enterprise intelligence systems using modern integration patterns and API development
• Team up with product managers, engineers, and business stakeholders to build and deploy technical solutions, implementing user-friendly knowledge systems
• Implement and deploy future thinking employee support systems using automated workflows, proactive information delivery mechanisms, and intelligent user interfaces
• Work with global HR program owners to configure AI-powered content management solutions, implementing machine learning models and deploying enhanced knowledge system methods
• Help make the People@ taxonomy smarter, turning it into AI-ready knowledge graphs that can power advanced analytics, automatic insights, and chat interfaces
• Design and build knowledge systems that use AI tech like large language models, vector databases, and semantic understanding to give employees better experiences
• Pioneer new ways to deliver knowledge, like voice interfaces, augmented reality overlays, and experiences that know what you need based on context
• Research and implement industry best practices through direct technical development and system configuration
• Develop architecture solutions that enable knowledge systems to adapt to changing business models and workforce needs
• Maintain intricate system integrations across content management platforms, HR systems, analytics tools, and AI services
• Use code-based tools (such as Jupyter notebooks) to create, run, and share documents containing live code, text, equations, and data visualizations, supporting rapid prototyping, analytics, and machine learning workflows
• Leverage AI-enhanced coding interfaces for rapid iteration, prototyping, and solution delivery
• Partner with engineering to build and deliver high-quality solutions that meet business needs and bring innovative disruption in ambiguous spaces

• 4+ years of hands-on experience developing complex taxonomies, ontologies, and knowledge architectures for AI/ML applications and large-scale systems
• Experience implementing AI-enhanced content solutions, including machine learning classification, semantic search, or conversational AI systems
• Experience with modern data technologies including vector databases, graph databases, knowledge graphs, and big data platforms
• Advanced experience with content management platforms, GraphQL, metadata management, and structured content strategies
• Demonstrated track record of leading global technical initiatives with cross-functional stakeholder collaboration and business impact delivery
• Strategic thinking with experience in technology roadmapping, competitive analysis, and innovation planning
• Proficiency in agile methodologies and experience managing complex, ambiguous technical initiatives
• Demonstrated communication skills with proven experience to influence at all levels and drive organizational change

• Master's degree in Information Science, Computer Science, Library Science, or equivalent technical field
• Advanced certifications in AI/ML, cloud architecture, or enterprise content management
• Familiarity with programming languages such as Python, JavaScript, Go, or Java with experience in AI/ML frameworks
• Background in conversational AI development, natural language processing, or generative AI implementations
• Practical experience in HR domains including benefits, compensation, payroll, and global regulatory compliance
• Experience with enterprise integration platforms (MuleSoft, Workday, Salesforce) and advanced analytics tools
• Track record of successful vendor partnerships for AI technology implementation and strategic technology consulting
• Experience leading innovation initiatives in rapidly evolving, global technology environments
• Understanding of AI ethics and responsible AI development in enterprise systems