AI Engineer – Azure & MLOps

Pauwels Consulting; Antwerpen; Hybrid; EUR 90,000 - 120,000; Full time

Job summary

Pauwels Consulting is seeking an AI Engineer to transition AI prototypes into scalable production environments. The role emphasizes agentic automation, MLOps frameworks, and strong collaboration with data scientists to ensure governance and quality across Azure-based solutions.

The position requires 6+ years in software/data engineering and 3+ years in AI/ML or MLOps with production experience, plus fluent Dutch and English.

Qualifications

• 6+ years in software or data engineering.
• 3+ years as AI/ML Engineer or MLOps with production experience.
• Expertise in AIOps and MLOps using Azure DevOps, Git, Docker, Kubernetes, and Terraform.
• Strong Python skills with emphasis on clean code and testing.
• Experience with Azure ecosystem: Azure ML, Azure OpenAI, AI Foundry, Azure AI Search, Microsoft Fabric, and AKS.
• Knowledge of agentic frameworks, RAG, Copilot Studio, dspy, and tool use/function calling.
• Experience with model registries, feature stores, experiment tracking, and monitoring.
• Excellent communication with ability to explain technical choices to non-technical peers.
• Fluency in Dutch and English with basic French.

Responsibilities

• Lead AI solutions end-to-end from PoV to production-ready, scalable environments.
• Design and build reliable data and inference pipelines with CI/CD and observability.
• Guide data scientists to roll out models with high quality, security, and governance.
• Develop agentic automation using RAG, tool use, and orchestration patterns.
• Define evaluation/testing frameworks, including red teaming and guardrails for model robustness.
• Advise stakeholders on architectural choices, risks, and feasibility to prevent shadow AI.

Skills

AI/ML Engineer

MLOps

Python

Communication

Dutch language

English language

Tools

Azure DevOps

Git

Docker

Kubernetes

Terraform

Azure ML

Azure OpenAI

AI Foundry

Azure AI Search

Microsoft Fabric

AKS

Copilot Studio

dspy

tool use/Function calling

Job description

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