Location: Brussels, HybridLanguages: Dutch/French & EnglishEmployment Type: FreelancerStart Date: ASAP till end of the year+Experience: Medior 3 - 8 years experience Context of the mission/objective(s) of the job Lead the design, development, and integration of AI components behind chatbots/RAG. Support definition of end-to-end architecture, integration standards, and foundational building blocks (including data feeds). Building and scaling the cloud-based infrastructure for the ChatBot (PA) platform. Ensure PA components run efficiently on Azure, are secure, and integrate well with our existing infrastructure. Role overviewLead the E2E design, development, and integration of Insurance AI agents behind the Personal Assistant for both insurance use cases (focus Bdi).Support definition of end-to-end architecture, integration standards, and foundational building blocks (including data feeds)Building and scaling the cloud-based infrastructure for the PA platform.Ensure PA components run efficiently on Azure, are secure, and integrate well with our existing infrastructure. ResponsibilitiesSolution Design: Design the complete AI system components behind the insurance assistants, select the appropriate cloud infrastructure (e.g. Azure AI Services, AKS, API GateWay), and define integration standards taking into account Clients Frameworks for Personal Assistant and the current tech stack (Mistral AI, Kore. AI, Salesforce,..)AI Model Governance & Compliance : Design & implement security-first architectures following guidelines, define evaluation pipelines for model fairness, explainability (incl. guardrails, prompt injection defence techniques), and audit trails.Collaboration & Performance Optimization : Work closely with Ccoe, enterprise architects, IT security, DevOps teams, and business SMEs to optimize compute, Storage, and real-time API responses. RequirementsGenAI & ML frameworks: Promptflow, Openai, API, Hugging Face, ELKCloud & Infrastructure: Azure Kubernetes Services, Azure DevOps, TerraForm, Service Bus, Vector Databases, Event HubMLOps & CI/CD:Azure ML Pipelines, Data FactorySecurity & Compliance:OAuth 2.0, RBAC, Key Vault, Azure Policy Certifications:AZ-305: Microsoft Certified : Azure Solutions Architect ExpertTogaf 9.2 (Enterprise Architecture) (optional)AI-102 : Azure AI Engineer Associate (optional)