AI Engineer

As an AI Engineer at the Digital Innovation & Analytics department, you will join the Risk Analytics & AI Team. You will work in a multidisciplinary Scrum team where you play a key role in strengthening the team’s software engineering capabilities while automating business processes and building data products that inform and drive decision-making, such as models, dashboards, and AI solutions.

You will contribute to bringing a strong engineering mindset into the team—improving code quality, scalability, and maintainability—while working across the following domains: Compliance, Non-financial Risk, Financial Risk, Internal Control, and HR.

You are driven by curiosity and stay ahead of the latest AI developments. You love exploring how new capabilities can be applied in practice, translating them into meaningful product improvements, and helping colleagues understand and use them effectively.

Join the team and help shape the future of Wealth Management by combining data, AI, and robust software engineering practices.

Your talents

“Passionate about innovation, technology and collaborative”, this is how we can best describe you in the position of AI Engineer. Talents that you use to continuously improve the digital experience of our users.

Key Requirements

We are seeking a skilled and experienced AI Engineer proven experience building solid end‑to‑end client‑facing products and can help move from POCs to production-grade solutions, with a focus on reliability and maintainability. The ideal candidate will have a strong background in .NET and Angular development, as well as hands-on experience with Azure and Azure DevOps.

What you bring

You bring a rare combination of front-end, back-end and applied AI skills, and you know how to use them to turn complex challenges into practical, user-friendly solutions.

Software engineering

• 3–5 years of experience building applications, with strong hands-on experience in C# and TypeScript.

• Experience with Python is a plus, especially for AI prototyping, automation or working with data.

• Experience with Azure and Azure DevOps, including automated build and release pipelines.

• Experience with Databricks is a plus.

• A practical mindset: you like writing clean, maintainable code that works in real-life environments.

Front-end development

• Solid experience with Angular.

• Good working knowledge of JavaScript, TypeScript, RxJS, HTML5 and CSS.

• Ability to build responsive, user-friendly interfaces for data-rich applications.

Back-end and APIs

• Strong experience developing and integrating RESTful APIs, with a preference for hands-on experience in .NET.

• Comfortable connecting front-end applications, back-end services and external systems.

Applied AI 

• Experience building applications or prototypes with LLM APIs such as OpenAI, Anthropic or Gemini.

• Familiarity with LLM concepts such as prompting, tool calling, structured outputs and evaluation.

• Curious about new AI developments and eager to turn ideas into practical solutions.

• When someone says “Responses” or “Completions”, you know they’re probably not talking about customer satisfaction surveys.

How you work

• Good command of English, both spoken and written.

• Naturally curious, self-motivated and eager to learn.

• Comfortable experimenting, asking questions and sharing ideas with the team.

• ·You enjoy being given an ambitious goal and figuring out how to get there, combining your skills in front-end, back-end and applied AI to turn ideas into practical, valuable solutions.
  

Move ahead at Van Lanschot Kempen

Working with a variety of clients to make their investments more future-oriented, sustainable and data-driven. Both nationally and internationally. With over 300 years of experience, we make this ambition a reality at Van Lanschot Kempen. We do this together with approximately 2,300 colleagues spread across various areas of expertise.

As part of the Risk Analytics & AI team, you will work on data and AI solutions that help Van Lanschot Kempen stay in control of privacy and other non-financial risks. The team combines data engineering, analytics and AI to build practical tools for Non-Financial Risk & Risk  Management, Internal Control, HR and Compliance. We work closely with stakeholders, turn feedback into improvement and focus on robust, responsible solutions that can stand up to regulatory scrutiny.

The Digital Innovation & Analytics department is a start-up like environment within Van Lanschot Kempen; a union of two specialised financial boutiques and the oldest independent financial institution in the Netherlands. This means a work environment which offers both; the cool and ambitious character of a start-up combined with the solid benefits of a large company.

An organisation's degree of innovation and agility also depends on the diversity of its workforce. Our differences make us stronger together. We promote an inclusive work environment where all colleagues feel at home. With us, you can be yourself. And we are proud of that.

Curious about the stories of colleagues and how they experience working at Van Lanschot Kempen? Go to Podcasts and find out more