AI Architect
Function
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
- 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