Vacatures manager

Are you excited about building impactful AI solutions using the latest technologies and tools? Join the Asset Reuse Team (ART) within the AI Center of Excellence at Nationale Nederlanden (NN), where we build, maintain, and scale reusable AI assets, collaborate across business units, and drive strategic innovation. As a GenAI Engineer in ART, you will work in a cross-functional squad to deliver high-quality, production-ready AI components that power the NN AI asset marketplace and enhance customer services and operational efficiency.

What you are going to do

You will be responsible for designing, building, and maintaining reusable AI components and solutions that address real business challenges across NN. Your work will span from requirement definition to production deployment, ensuring scalability, security, and performance. You will collaborate closely with the ART product manager, tech lead, GenAI engineers, and business stakeholders to translate needs into robust, reusable AI assets.

Key responsibilities include:

• Develop scalable AI applications using agentic frameworks (e.g., Langchain, Lang graph)
• Bring AI models to production in the form of APIs and integrate them into the NN landscape
• Collaborate with Data Scientists and Engineers to define the AI Asset Lifecycle
• Set standards on CI/CD, testing, monitoring, and security compliance
• Enhance platform performance through latency optimization and caching strategies
• Support the team by promoting best practices, conducting code reviews, and maintaining documentation
• Translate business requirements into AI solutions and present them to stakeholders
• Continuously contribute to innovation initiatives and explore new technologies

What we offer you
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 €4,827 and €6,895 based on 36 hours per week, 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 BeFrank
• 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 kilometers travelled
• Allowances for setting up your home office and for internet use

Who you are

You are a versatile engineer with a strong background in software, DevOps and AI development. You thrive in a dynamic environment and enjoy sharing knowledge with others. Your curiosity and communication skills help you grow and support your team.

You bring the following qualifications and experience:

• Bachelor's or Master's degree in Computer Science, Engineering, or related field
• 5+ years of experience in software or DevOps engineering and developing ML applications
• Strong experience in Python, FastAPI, and asynchronous development
• Experience with CI/CD, application security, and performance monitoring
• Working knowledge of the data science process including data collection, cleaning, and model implementation.
• Experience with agentic frameworks for LLMs (Langchain & Langgraph)
• Hands-on experience with Azure Cloud, Docker, and Kubernetes
• Experience in developing automated APIs and cloud solutions using CI/CD tools, Git, and Terraform
• Proven ability to independently deliver complex AI end-to-end solutions with direct business impact
• You currently reside in the Netherlands

Who you will work with

You will be part of the Asset Reuse Team (ART) within the AI Center of Excellence, collaborating with Product Managers, Tech Leads, Data Scientists, and GenAI Engineers. You will also engage with business unit teams and guilds to share knowledge and ensure scalable deployment and reuse of AI assets. You will work closely with operational teams to ensure your solutions are adopted and deliver measurable impact across NN.

Any questions?

Any questions about the process can be directed to Hilde Diemel, Senior Talent Acquisition Specialist, via hilde.diemel@nn-group.com.