Medior AI Engineer

pA major Brussels-based public transport organization is expanding its portfolio of employee
- and customer-facing AI services, ranging from retrieval-based assistants to AI agents integrated with business systems. /ppThe first AI services are scheduled to go live in December 2026, with further deployments planned throughout 2027. /ppWe are looking for a Medior AI Engineer to join the AI Center of Excellence within the Digital Innovation AI delivery team and take ownership of the operational Run phase of AI services in production. /ppWorking closely with the AI Platform Architect, Senior AI Engineers, business and content owners, and IT operations teams, you will ensure the reliability, security, quality, performance and cost efficiency of these services. /ppThe platform combines managed Azure AI services with open-source components deployed on Azure Kubernetes Service (AKS). Its technology stack includes Microsoft Foundry, Azure OpenAI, Azure AI Search, Azure API Management, Azure AI Content Safety, Python, LangChain, MLflow, Databricks, OpenTelemetry, Terraform and Azure DevOps. /ph3Responsibilities /h3ulliOperate and monitor AI services in production, ensuring availability, performance and reliability. /liliInvestigate incidents, service requests, latency issues and application errors. /liliPerform root cause analysis and implement fixes or elevate when necessary. /liliMaintain and execute AI evaluation datasets (golden sets) in collaboration with business content owners. /liliMonitor answer quality, non-answer rates, user feedback and quality regressions. /liliOperate document ingestion pipelines, including incremental updates, failed document processing and search index health. /liliSupport onboarding of additional content sources and business domains within existing connectors. /liliMonitor AI agent integrations, tool calls, timeouts and failures involving business systems. /liliReview agent action logs and operational exceptions. /liliManage model upgrades, model retirements, prompt changes, configuration updates and security patches. /liliMonitor token consumption and service-level operational costs, identifying optimization opportunities. /liliMaintain Terraform configurations, Helm artifacts and Azure DevOps pipelines. /liliEnsure consistency across DEV, TST, ACC and PROD environments. /liliApply data protection requirements, including trace retention, erasure and access restrictions. /liliMaintain operational runbooks, technical documentation and service health reports. /liliDeliver minor enhancements and fixes while coordinating structural changes and new features with the Build team. /li /ulh3Technical skills /h3h3Must have /h3ulliIntermediate practical experience with Python. /liliIntermediate experience with Azure OpenAI Service and Large Language Models (LLMs). /liliIntermediate knowledge of Retrieval-Augmented Generation (RAG). /liliIntermediate experience with Azure Kubernetes Service (AKS). /liliIntermediate experience with Azure DevOps. /liliIntermediate experience with Terraform. /liliIntermediate knowledge of vector databases. /liliIntermediate knowledge of LangChain. /liliRecent experience within the current year with Python, Azure OpenAI, LLMs, RAG, AKS, Azure DevOps, Terraform and vector databases. /liliNative or bilingual proficiency in French or Dutch. /liliFull professional proficiency in English. /li /ulh3Should have /h3ulliPractical experience operating and troubleshooting AI applications in production. /liliExperience monitoring AI service performance, reliability and incidents. /liliExperience maintaining RAG ingestion pipelines and search indexes. /liliUnderstanding of LLM evaluation, answer quality monitoring and regression detection. /liliExperience with Azure-based AI services and hybrid cloud environments. /liliExperience maintaining automated deployment pipelines and infrastructure configurations. /liliAbility to investigate issues independently and collaborate with development and IT operations teams. /li /ulh3Nice to have /h3ulliExperience with Microsoft Foundry, Azure AI Search, Azure API Management or Azure AI Content Safety. /liliExperience with MLflow, Databricks or OpenTelemetry. /liliExperience with Helm and Kubernetes-based deployments. /liliKnowledge of AI agent orchestration and tool integrations. /liliExperience optimizing LLM token consumption and operational costs. /liliFamiliarity with data protection impact assessments, trace retention and access restrictions. /li /ulh3Who we are /h3pCommunity Consulting goes beyond traditional consulting; it’s all about fostering connections in an atmosphere of trust and confidence.br/bTransparency Honesty /b : We say things as they are. Clear communication for seamless collaboration.br/b#COMMUNITEAM /b : Work independently, but never alone. Collective intelligence drives us further, faster.br/bTotal Commitment /b : Always present, always engaged. We find solutions and make sure everyone moves forward together.br/bGuar