Descripción
Responsibilities Develop and maintain the target architecture for generative AI, machine learning, and agentic AI. Establish reference architectures and decision patterns for on-premises, cloud, and hybrid deployments. Define architectural frameworks for AI Gateways, Model Context Protocols, retrieval, and model access. Guide delivery teams through architectural choices and transitions from proof-of-concept to production. Integrate privacy, least privilege, and data minimization principles by design in collaboration with security teams. Identify and prioritize reusable platform and integration building blocks for the internal development platform. Requirements 8+ years of experience in solution architecture or IT architecture within complex enterprise environments. 3+ years of experience with API , event-driven , and integration patterns . 3+ years of experience translating security and privacy requirements into practical architecture principles and guardrails . 1+ years of experience with LLM and AI platform architectures including retrieval , model serving , and observability . You possess experience with Architectural Decision Records (ADR) , reference architectures , and lifecycle management . You're proactive in analyzing complex issues and translating them into pragmatic solutions. You're a strong communicator capable of explaining technical concepts to both technical and non-technical stakeholders. You are fluent in Dutch and French with passive knowledge of English . Nice to Haves Experience within the public sector or similar large-scale administrative contexts. Knowledge of G-Cloud or specific governmental cloud environments.