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As a Solution Architect, you will work at the intersection of product, platform, and data, ensuring that learning solutions are designed for scalability, reliability, and seamless integration. The ideal candidate has deep expertise in enterprise solution architecture, customer experience or learning platforms, and large-scale workflow automation, with hands-on experience in ServiceNow or equivalent enterprise systems.
Job Responsibility:
Architect end-to-end solutions for the ServiceNow University product, enabling AI powered learning workflows, proactive engagement, and connected experiences
Define solution blueprints that integrate data, workflows, AI/ML capabilities, and third-party systems
Collaborate with product managers, platform engineers, and solution architects across CCX to ensure alignment and reuse of common patterns
Design extensible APIs, integration frameworks, and workflow automation patterns
Partner with engineering teams to translate business requirements into technical designs
Define technical architecture for AI-powered Learning including in Simulation modes
Ensure data consistency, security, and compliance across the platform
Drive adoption of best practices in platform configuration, extensibility, and modularization
Lead architectural design reviews and provide guidance on solution trade-offs, scalability, and performance
Influence product direction by bringing user-centric architectural insights into the roadmap
Translate complex technical designs into clear, consumable guidance for application and implementation teams
Partner with CCX architects to align SNU solutions with broader enterprise architecture standards
Requirements:
8+ years of experience in enterprise solution architecture, platform engineering, or application design
Proven track record architecting customer experience and workflow automation
Experience with integration patterns, APIs, and event-driven architectures
Familiarity with data platforms, reporting, and analytics in a customer success context
Strong understanding of ServiceNow platform architecture or comparable enterprise platforms
Excellent communication and collaboration skills, with the ability to influence across product, engineering, and business stakeholders
Nice to have:
Experience with ServiceNow University, or other ServiceNow products
Background in SaaS platforms, enterprise digital workflows, or customer service systems
Exposure to AI/ML-powered customer service use cases (chatbots, recommendations, intelligent routing)
Knowledge of microservices, API-first design, and modular solution delivery
Experience working in matrixed, global organizations