Senior AI Engineer

Senior AI Engineer

Within the Data Office, we build impactful AI solutions that digitize key processes for Non-Life (Schade & Inkomen), such as Claims. You create AI solutions for operational teams like Underwriting and Claims and take ownership of end-to-end delivery, from design to production and post-deployment reliability, while influencing standards across teams.

You understand how to help your colleagues from the business translate their wishes into AI solutions, and you take pride in transforming these into robust, production-grade AI solutions. With your solution-oriented and proactive mindset, you design the best AI solution for business problems together with your team, and you realize this using our AI toolkit. We work with colleagues from the business on projects that often span multiple months.

Specifically, you bring AI solutions into production so that your solutions truly create value for our company tomorrow. Researching and applying new technology plays an important role. You use state-of-the-art tools such as AI as a Service and LLMs, like Cognitive Services and OpenAI. Additionally, you actively contribute to innovation within NN. During our monthly innovation day, you and your colleagues explore which new techniques are applicable to our company.

If you enjoy diving into the latest AI trends to find solutions for business problems, then this job is for you.

• Lead the end-to-end delivery of AI solutions and APIs in close collaboration with business, ML engineering, platform and integration teams. Define clear contracts, testing strategies and observability standards to ensure reliable production operation.
• Architect and implement scalable AI applications and components using LLMs and agentic frameworks.
• Bring AI models to production as scalable APIs and integrations within the NN landscape.
• Extract and generalise reusable AI modules from project work; drive assetisation so components can be adopted across NN.
• Define and champion AI engineering best practices (coding standards, design guidelines, testing/evaluation frameworks) and ensure their adoption through code reviews and mentorship.
• Mentor and coach engineers and data scientists through pair programming, design reviews and learning sessions.
• Continuously contribute to innovation initiatives and explore new technologies for assetisation and reuse.
• Translate business requirements into reusable AI solutions and present them to stakeholders.

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 our employees the opportunity to get the best out of themselves.

We offer you:

• Salary between €4,414 and €7,438 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 senior engineer with a strong software engineering background, who is results‑oriented and enjoys turning business needs into robust software. You are especially motivated to drive the adoption of our AI solutions. Your open attitude and clear communication help you collaborate effectively with both technical and non‑technical stakeholders. Additionally, you have:

• At least 4 years of experience working in a professional software engineering environment, delivering and operating production systems.
• Proficiency in Python.
• Strong knowledge in software design and architecture (SOLID, Clean code, design patterns), testing, observability and reliability.
• Mentorship experience,…