AI Architect

We're looking for an experienced AI Architect to join our client's team and help shape the future of enterprise AI. In this role, you'll define and maintain a coherent architecture for generative AI, machine learning, and agentic AI solutions, ensuring that emerging technologies are integrated into the broader IT landscape in a secure, scalable, and sustainable way. You'll combine strategic thinking with hands-on architectural guidance to turn innovative AI concepts into robust, production-ready solutions. Your Responsibilities
• Define, develop, and maintain target architectures for generative AI, machine learning, and agentic AI within complex enterprise environments.
• Establish reusable reference architectures and architectural patterns for on-premises, cloud, and hybrid deployments, taking into account data sensitivity, integration requirements, security, and operational needs.
• Develop architectural principles and guardrails covering AI gateways, Model Context Protocol (MCP), retrieval mechanisms, model access, AI agents, identity management, logging, observability, and lifecycle management.
• Advise delivery teams and technology architects on architectural decisions, technical trade-offs, and the transition from experimentation and proof of concept to production.
• Conduct architecture reviews and proactively identify deviations, technical debt, dependencies, and potential risks.
• Collaborate with security, data, and other architecture stakeholders to incorporate privacy, least-privilege access, data minimization, isolation, and traceability into solution designs.
• Identify opportunities to create reusable platform components and integration building blocks in collaboration with platform and AI enablement teams.
• Monitor emerging AI technologies and translate relevant developments into practical recommendations, architectural options, and informed decision-making.

Your Profile
We're looking for a forward-thinking architecture professional who combines strong technical expertise with the ability to translate complex requirements into pragmatic, well-structured solutions. Your experience and technical skills include:
• Proven experience in solution architecture or IT architecture within enterprise environments.
• Knowledge of API architecture, event-driven architectures, and integration patterns.
• A solid understanding of AI and large language model (LLM) platform architectures, including retrieval-augmented generation (RAG), model serving, AI agents, evaluation, and observability.
• The ability to translate regulatory, security, and privacy requirements into actionable architectural principles and technical guardrails.
• Experience with architectural decision records (ADRs), reference architectures, non-functional requirements, and technology lifecycle management.
• Strong analytical and problem-solving skills, combined with an innovative mindset and a genuine interest in emerging AI technologies.
• Excellent communication and stakeholder management skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
• The ability to structure and visualize architectural concepts, facilitate multidisciplinary discussions, and guide stakeholders towards well-founded decisions.
• A results-oriented approach, with a strong focus on deadlines, quality, and tangible outcomes.
• Familiarity with public sector environments or specific government cloud and social security institutions is considered an asset. Practical Information
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Location:
Brussels, with the possibility of working partly from home.
• Languages: Active knowledge of Dutch and French, and passive knowledge of English. Are you ready to help shape a secure, scalable, and future-proof AI landscape? If you enjoy combining architectural vision with practical innovation, we'd love to hear from you Contactperson & Reference
• Reference #: INW28654
• Pieter Messely
• pieter.messely@i4m.be