AI Engineer – Azure & MLOps

Our client, a leading organization in the insurance sector, is looking for an AI Engineer to transition AI prototypes into scalable production environments. This role focuses on enhancing core processes through technical leadership in agentic automation and the further development of MLOps frameworks.

• Lead the end-to-end trajectory of AI solutions from proof-of-value to production-ready, scalable environments.
• Design and build reliable data and inference pipelines while implementing CI/CD processes and observability.
• Guide data scientists in rolling out models that comply with high quality, security, and governance standards.
• Develop and implement agentic automation solutions using RAG, tool use, and robust orchestration patterns.
• Define evaluation and testing frameworks, including red teaming and guardrails, to ensure model robustness.
• Advise stakeholders on architectural choices, risks, and feasibility to prevent the development of shadow AI.

• You possess 6+ years of experience in software or data engineering.
• You have 3+ years of experience as an AI/ML Engineer or MLOps Engineer with a history of bringing solutions to production.
• You bring expertise in AIOps and MLOps using Azure DevOps, Git, Docker, Kubernetes, and Terraform.
• You possess strong Python skills and apply software engineering best practices like clean code and testing.
• You have experience with the Azure ecosystem, specifically Azure ML, Azure OpenAI, AI Foundry, Azure AI Search, Microsoft Fabric, and AKS.
• You bring knowledge of agentic frameworks, RAG, Copilot Studio, dspy, and tool use/function calling.
• You have experience with model registries, feature stores, experiment tracking, and monitoring.
• You are a strong communicator with a coaching attitude and the ability to explain technical choices to non-technical peers.
• You are fluent in Dutch and English with basic knowledge of French.

Nice to Haves

• Knowledge of security, governance, RBAC, data privacy, and the EU AI Act.
• Experience with Vector Databases.
• Domain knowledge of the insurance industry.

• Start date: ASAP
• Duration: 1 year
• Work regime: Full-time
• Location: Berchem
• Working model: Hybrid (minimum 2 days per week onsite)
• Contract: open to both permanent employees and freelancers