As a new member of the IMC AI Team you will collaborate to accelerate AI adoption and uncover transformative opportunities across our investment management business. This team will collaborate closely with investment professionals to identify and implement AI solutions-ranging from practical Copilot support for day-to-day efficiency, to advanced agentic tooling for deep research projects-enabling our teams to work smarter, innovate faster, and deliver even greater value to clients and stakeholders.
As an AI Engineer, you will translate innovative ideas into robust, production-ready AI solutions that address real-world business challenges within investment management. You are responsible for developing and deploying advanced AI tools, rapidly building prototypes, and scaling successful concepts to production. You will support the business with their Copilot and agent development, by empowering them with no code (prompting) and/or minor agent configuration. Keen to understand business requirements, you combine hands-on experience with Azure and Azure DevOps with strong development skills. Moreover, you have either a strong foundation in data engineering or software development.
RequirementsPassionate about (AI) technology, collaborative, and analytical are among the words you'd describe yourself. Talents that you to design and implement scalable, efficient, and impactful AI-driven solutions. By thinking out of the box and asking questions. And all will be well if you also you are passionate about the latest advancements in AI and excited to bridge the gap between data and AI innovation.
You also have:
- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
- Around 2-4 years of relevant experience.
- At least 2 years of hands-on experience with Azure and Azure DevOps, including configuring automated build and release pipelines (CI/CD).
- Proven ability to develop intelligent applications using Azure Cognitive Services, Azure OpenAI, and Azure AI Foundry.
- Demonstrated experience deploying, monitoring, and managing AI models on Azure
- Expertise in building and optimizing data ingestion and processing pipelines.
- Skilled in handling and processing unstructured data.
- Proficiency in Python and preferably SQL
- Familiarity with version control (e.g., Git), testing frameworks, code review processes, and documentation standards for maintainable and reliable code.
- Preferably experience building both backend and frontend applications using Python.
- Fluent in English, with excellent spoken and written communication skills.
- Preferably affinity with investment management.
Your talentsInvesting in a more future-oriented, sustainable, and data-driven way with various clients; both nationally and internationally. With over 300 years of experience, we make this ambition a reality at Van Lanschot Kempen. We do this with approximately 2,300 colleagues in various fields of expertise.
Investment Management excels in fund management in a number of niche asset classes in which we are a leading provider of Fiduciary Management services in the Dutch and UK markets. Delivering digital and data driven solutions for our Investment Management business line, is what excites the 70 people in IMTA (Investment Management Technology & Analytics). The department offers the fast and ambitious character of a start-up combined with the solid benefits of a large company.
An organization's degree of innovation and agility also depends on the diversity of its workforce. Our differences make us stronger. 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!
BenefitsThat's what we do! The fact is, if you add value, you can expect the same from us in return. A good work-life balance with our 'hybrid way of working' is a good example of this. As a AI Data Engineer you will also be given:
- A gross monthly salary between €5000 and €5900, compatible with your knowledge and experience.
- In addition to the aforementioned basis salary, a flexible budget of 19.47% of your gross salary (containing a 13th month, 8% holiday allowance & 7 extra legal leave days)
- You can utilize this by buying a bike, monthly gym membership, but also to save up for a sabbatical! It's also possible to get the full budget paid out at any moment in the year.
- Hybrid working; you come to the office for team meetings or brainstorming sessions at least twice a week, the rest is flexible.
- Training opportunities and the possibility to attend conferences.
- 1 month fully paid when you take a sabbatical of 3 months or longer.
- Your commute to work is compensated, including green options of walking and biking to work!
- A market competitive pension scheme. The exact contribution is based on your salary and age, generally, most people can expect around 20% contribution, which 4% is employee contribution.
- Working from home allowance.
- Up to 2 months of working from abroad per year. You can extend your family visit or holidays by working remotely.
- Co-working/co-living opportunities with your team (we would love to tell you more about this).
Apply NowEnthusiastic about the vacancy? Applications via e-mail or LinkedIn won't be taken in consideration. Please use our Career Website to apply.
If you have any questions, please get in touch with Jessica Martins, Recruiter, on +31 (0)6 57683187 or at j.martins@vanlanschotkempen.com
