2026-237 – Technical Architect

Profile : Information and Communication Technologies/Technical Architect
Contract type : Permanent
Position description :
Within the Architecture team, acting as a Technical Architect with a focus on AI orchestration (e.g. LangChain and agent-based architectures), responsible for defining and governing the technology and infrastructure landscape across the full lifecycle of information systems, platforms, and cloud environments.
Designing and implementing scalable AI orchestration frameworks, integrating LLMs, agents, and workflows into the enterprise architecture.
Ensuring the alignment of data, application, and infrastructure layers to support advanced AI use cases (including orchestration pipelines, vector stores, and API integrations).
Overseeing the lifecycle management of systems, platforms, devices, and services, with a strong emphasis on modular, composable, and API-driven architectures.
Defining and maintaining the target architecture and future technical roadmap, incorporating emerging AI capabilities and orchestration patterns.
Ensuring consistency with the organization’s enterprise architecture principles, governance frameworks, and security requirements (including data residency, auditability, and compliance such as DORA).

A university degree in Computer Science or a related technical ICT field.
A proven experience as Solution Architect, or similar role, with hands-on involvement in AI/LLM orchestration frameworks (e.g. LangChain, agent-based architectures) and modern cloud environments.
Strong proficiency in IT platforms, cloud infrastructure (preferably Azure), APIs, and orchestration frameworks, including experience integrating LLMs, vector databases, and workflow engines.
Fluency in English (C2 level); knowledge of French and/or Dutch is an advantage.
Solid understanding of system integration patterns, and enterprise architecture principles, including security, scalability, and compliance requirements.
Strong analytical skills with the ability to design and implement end-to-end AI-driven solutions, integrating multiple data sources and services.
Well-developed collaboration and stakeholder management skills, with the ability to align business needs with technical solutions.
High level of accuracy, attention to detail, and sound architectural judgment, especially in balancing innovation with risk, compliance, and operational resilience.
Minimum level of education required : Master (University of Higher Education Long Type)

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