Senior Gen AI ML Engineer

Within the Data Office, we have a team responsible for building impactful AI solutions. With these AI solutions, we help Schade & Inkomen to digitize important processes. As a Gen AI – ML Engineer, your main goal is to design, build and maintain orchestration components that enable advanced AI and agentic solutions. You will be at the core of how AI products operate, connecting models, data pipelines, and business processes through robust orchestration logic.

You’ll work closely with Data Scientists, Software Engineers, and Product Managers to deliver scalable, reliable AI systems that integrate seamlessly with NN’s enterprise platforms and deliver real business impact (e.g., claims automation, underwriting assistants, or customer contact optimization).

When a claim or customer question arrives, you orchestrate its journey end‑to‑end: which model to invoke, when to pause for a human check, and how outcomes flow back into our core systems. You translate business rules into resilient AI workflows on orchestration platforms (and where it fits, Argo or Celery), stitching together modular, containerized pipelines for training, inference, and monitoring. Side by side with our data scientists, you turn solutions into production: co‑designing interfaces SLAs, building evaluation and feedback loops, and packaging models as reusable, versioned FastAPI services and shared libraries with tests, docs, and CI/CD templates, so the next use case ships faster.

You build and run the service layer that connects everything:
Python/ FastAPI APIs with clean contracts, messaging to keep systems decoupled and responsive, and robust observability so every step is traceable. You tune for scale and reliability, whether it’s large model inference, document processing, RAG/vector search, containerizing on Docker/Kubernetes and deploying to Azure (and where relevant AWS). Together with platform engineers, you apply MLOps/Dev Ops best practices (versioning, automated testing, CI/CD with Azure Dev Ops/Git Hub, infrastructure as code) and embed security and compliance from day one: encryption, audit logs, model/version governance, threat modeling, and guardrails aligned with GDPR and the AI Act.

And you build for reuse and impact: standardizing components to NN’s engineering and risk standards, contributing orchestration assets to our internal AI marketplace, and shaping patterns the wider guild adopts. The result is a joint effort that turns ideas into dependable AI products, streamlining claims, supporting underwriting decisions, and improving customer contact, running smoothly across NN’s enterprise landscape.

NN invests in an inclusive, inspiring work environment and in skills and competences for the future. We match this with employee benefits that are in line with what is needed today and in the future. This way, we offer ourvrolet employees the opportunity to get the 天天中彩票网络 best out of themselves.

We offer you:

• Salary between €5.362 and €7.661 depending on your knowledge and experience
• 13th month and holiday allowance are paid with your monthly salary
• 27 vacation days for a 5‑day working week and one Diversity Day
• A modern pension administered by Be Frank
• Plenty of training and learning opportunities
• NS Business Card 2nd class, which gives you unlimited travel, also privately. Do you prefer to travel with your own transport? Then you can declare the kilometres travelled
• Allowances for setting up your home office and for internet use

We work hybrid ether with your team, you decide where, how and when you work. The official location of this job is The Hague.

You are a pragmatic engineer who enjoys building reliable systems that make AI usable for the business. You combine an engineering mindset with a product orientation, and you communicate clearly with both technical and non‑technical stakeholders. Additionally, you have:

• 5+ years of experience in backend or ML engineering for AI/ML or data‑intensive applications.
• Strong proficiency in Python, FastAPI, and RESTful API design.
• Deep understanding of orchestration tools such as Argo Workflows, Celery, Airflow or Temporal.io.
• Experien…