About this role
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.