We are looking for an experienced AI Engineer to join a hybrid team in Brussels.
Location : Brussels, Belgium (must be based in Brussels or open to relocate)
Work model : Hybrid – 50% on-site / 50% remote
Languages : French or Dutch required
The role focuses on designing, developing, and implementing AI-driven solutions on Azure, translating business use cases into secure, scalable, and reusable architectures.
Key Responsibilities
- Translate business use cases into optimal AI solution architectures, prioritizing simplicity, security, standardization, and reusability.
- Analyze, design, and develop AI solutions using Azure AI services.
- Coordinate and oversee the technical implementation of AI solutions.
- Coach and advise colleagues on a technical level.
- Define and maintain reference architectures and coding standards.
- Deploy and maintain infrastructure using structured, standardized, reusable modules.
- Contribute to business case development, including cost estimation (infrastructure and man-days) for development and maintenance.
- Work according to Agile methodologies (Scrum / Kanban), including test-driven development and continuous integration.
Technical Skills & Expertise
Azure Cloud & AI Services :
Strong knowledge of the Azure Cloud Platform, including networking and securityHands-on experience with Azure AI services, including : Azure Document Intelligenc, Azure OpenAI, Azure AI Search, Azure AI FoundryGenerative AI & Machine Learning :
Expertise in Generative AI development, including : Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Prompt engineering, Chunking & indexing, Search & ranking techniquesDevelopment & Integration :
End-to-end development of backend and frontend solutions, including UI / UX,High-level knowledge of the Microsoft Power Platform : Power Automate, Power Apps (Canvas & Model-Driven Apps), Embedded AI servicesData & Infrastructure :
High-level knowledge of Databricks, including : Mosaic AI, Data pipelines using PySpark and SQL, Pipeline orchestration using Airflow, Experience with Infrastructure as Code (Terraform) for Azure deploymentsArchitecture & Strategy :
Strong understanding of solution architecture, including technology selection and trade-off analysis between best fit and integration requirements