AI Engineer – Python & Azure AI

Pauwels Consulting; Antwerpen; Hybrid; EUR 90,000 - 140,000; Full time

Job summary

Pauwels Consulting is seeking an AI Engineer for a key insurance-sector client in Antwerp. You will turn prototypes into scalable production, build MLOps foundations, and guide agentic automation in claims, fraud detection, and underwriting.

Responsibilities include leading data scientists in model deployment, crafting robust pipelines, and ensuring governance and security. Hybrid work, with some onsite collaboration, is available in Belgium.

Qualifications

• 6+ years in software or data engineering.
• 3+ years as an AI/MLOps Engineer delivering production-grade solutions.
• Strong technical leadership with architecture decisions, code reviews, and coaching.
• Advanced knowledge of Python and solid software engineering practices (clean code, testing).
• Expertise in AIOps and MLOps using Azure DevOps, Git, and Docker.
• Infrastructure as Code with Terraform and container orchestration via Kubernetes/AKS.
• Hands-on experience with Azure ML, Azure OpenAI, AI Foundry, and Azure AI Search.
• Familiar with agentic frameworks, RAG, Copilot Studio, and function calling.
• Proactive, results-oriented, able to explain tech choices to non-tech stakeholders.
• Fluency in Dutch and English; basic French knowledge is a plus.

Responsibilities

• Translate business challenges into production-ready AI solutions for core processes.
• Guide data scientists in model deployment with governance and security standards.
• Design and build data and inference pipelines, CI/CD, and observability.
• Lead development of agentic solutions from PV to production using RAG and orchestration.
• Define evaluation/testing frameworks, red teaming, and guardrails.
• Advise product management on architecture feasibility and risks.
• Collaborate with cross-functional teams to securely integrate AI via APIs.

Skills

Leadership

Python

Communication

Dutch

English

Tools

Azure DevOps

Git

Docker

Terraform

Kubernetes / AKS

Azure ML

Azure OpenAI

AI Foundry

Azure AI Search

Copilot Studio

Job description

Our client, a prominent organization in the insurance sector, is seeking an AI Engineer to transition prototypes into scalable production environments. This role involves developing MLOps foundations and providing technical direction for agentic automation within core business processes like claims management and fraud detection.

Responsibilities

• Translate business challenges into production-ready AI solutions for core processes including underwriting and fraud management.
• Guide data scientists in model deployment while ensuring adherence to high-quality security and governance standards.
• Design and build reliable data and inference pipelines, including CI/CD processes and observability frameworks.
• Lead the development of agentic solutions from proof-of-value to production using RAG and robust orchestration patterns.
• Define evaluation and testing frameworks, including red teaming and guardrails, to embed technical best practices.
• Advise product management on architectural choices, feasibility, and technical risks for AI initiatives.
• Collaborate with cross-functional teams to integrate AI solutions securely with internal systems via APIs.

Requirements

• 6+ years of experience in software or data engineering.
• 3+ years of experience as an AI, ML, or MLOps Engineer delivering production-grade solutions.
• You bring a strong background in technical leadership, including architecture choices, code reviews, and coaching.
• You possess advanced knowledge of Python and solid software engineering practices such as clean code and testing.
• You have expertise in AIOps and MLOps using Azure DevOps, Git, and Docker.
• You possess experience with Infrastructure as Code using Terraform and container orchestration through Kubernetes or AKS.
• You have hands-on experience with Azure ML, Azure OpenAI, AI Foundry, and Azure AI Search.
• You're familiar with agentic frameworks, RAG, Copilot Studio, and function calling.
• You are proactive, results-oriented, and able to communicate technical choices to non-technical stakeholders.
• You are fluent in Dutch and English with basic knowledge of French.

Nice to Haves

• Knowledge of security, governance, RBAC, and the EU AI Act.
• Experience with Microsoft Fabric and Vector Databases.

Offer

• Location: Antwerp
• Working model: Hybrid with 2 days onsite requirements.
• Contract: open to both permanent employees and freelancers.