Architect LLM & GenAI Integration

• 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.

What they ask

• Minimum 8 years of experience in solution architecture or IT architecture within complex enterprise environments.
• Minimum 3 years of experience with API, event-driven, and integration patterns.
• Minimum 3 years of experience translating security and privacy requirements into practical architecture principles and guardrails.
• Minimum 1 year of experience with LLM and AI platform architectures including retrieval, model serving, and observability.
• Experience with Architectural Decision Records (ADR), reference architectures, and lifecycle management.
• Proactive in analyzing complex issues and translating them into pragmatic solutions.
• Strong communication skills capable of explaining technical concepts to both technical and non-technical stakeholders.
• 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.