DESCRIPTION AND TASKS
Learn more about the general tasks related to this opportunity below, as well as required skills. We are looking for a hands-on AI Engineer with strong expertise in AIOps/MLOps and agentic development. In this role, you will build production-ready AI solutions that are scalable, secure, and compliant, and you will take the technical lead on agent architectures. Key responsibilities AIOps/MLOps • Coach Data Scientists to move models from experiment to production-grade (packaging, reproducibility, CI/CD). • Design and build data and inference pipelines. • Implement MLOps best practices (containers, model registry, experiment tracking, rollback). • Set up observability (logs, metrics, traces, drift, SLOs). • Work according to compliance-by-design together with security, risk & compliance (EU AI Act). Agentic development • Technical lead for agentic solutions (Azure AI Foundry, Copilot Studio). • Integrations with internal systems via function calling, RAG, orchestration. • Set up evaluation frameworks (test suites, red teaming, versioning). • Implement orchestration patterns (planning, retries, fallbacks). • Ensure selective autonomy and human-in-the-loop. Engineering & Collaboration • Work in an agile team; manage the technical backlog. • Create technical documentation and runbooks. • Collaborate with partners; challenge designs; ensure integration into the target architecture. PROFILE AND EXPERIENCE Profile • Hands‐on AI/MLOps engineer with strong Python skills and experience production‐grade AI. • Combines deep engineering expertise with innovation and coaching. • Agentic development and orchestration. • Pragmatic, takes ownership, results driven. • Deep knowledge of AIOps/MLOps tooling: Azure DevOps, CI/CD, Docker, IaC (Terraform). • Knowledge of Azure ML, Azure OpenAI/AI Foundry, Azure AI Search. • Understanding of principles of security & governance (RBAC, secrets, network segmentation, privacy). Required experience • Master's degree in CS/AI/Engineering or equivalent experience. xjsrcvq • 3–5+ years of experience as an AI/ML/MLOps engineer. • Experience with agentic frameworks, function calling, RAG. Languages Dutch - Very good knowledge, both speaking and writing English Very good knowledge, both speaking and writing Certificates AZ- 900 - Azure Fundamentals AZ-204 - Azure Developer Associate DP-700 – Fabric Data Engineer Associate PL-300 – Power BI Data Analyst Associate ISTQB CTFL Certified Tester Foundation Level