> Markdown version of [/jobs/ext/4014898-expert-ai-architect-llm-genai-integration](https://www.wearedevelopers.com/jobs/ext/4014898-expert-ai-architect-llm-genai-integration). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Expert AI Architect - LLM & GenAI Integration - **Company:** Pauwels Consulting - **Location:** Brussel, Belgium (Remote available) - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Machine Learning, Large Language Models, IT Architecture, AI Platforms, Machine Learning Operations - **Published:** October 30, 2026 - **Apply:** https://europa.eu/eures/portal/jv-se/jv-details/NTI5ZDY3YjktMzdhYy00ZDBmLTg0ZDYtMjMwMTE5YTQzZmIwIDM?lang=en ## About the Role * 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. ## Description * 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.