Artificial Intelligence Engineer

DESCRIPTION AND TASKS

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.

Ensure all your application information is up to date and in order before applying for this opportunity.

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. xqknzec

• 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