AI Governance Engineer
Job Location:
Utrecht - Netherlands
Monthly Salary:
Posted on:
Vacancies:
Job Summary
AI Governance Engineer (Hybrid)
At Deeploy we help organizations roll out AI they can trust. As an AI Governance Engineer youll own the technical implementation of our AI governance platform across customer environments from first proof-of-concept to full adoption. No two environments are the same and neither are the solutions youll build.
This is an engineering role for someone who goes deep on implementation and understands that AI governance only works when its built into the system not bolted on afterward. Youll translate regulatory and compliance requirements into concrete technical configurations on the Deeploy platform and make sure what gets built actually holds up in production. Youll report directly to the COO and work closely with sales and product giving you direct influence over both customer outcomes and how the product evolves. This role is hybrid based in Utrecht.
Why Deeploy
AI is being rolled out everywhere but most of it is a black box. Deeploy exists to change that. We build the technical foundation that makes AI truly responsible: helping companies detect understand and prevent the harms caused by misaligned AI systems before they impact the real world.
Were an AI-native team. That means we dont just build for AI we aim to be a frontrunner in our own work. Were constantly rethinking how we operate and we expect everyone on the team to be part of that evolution.
What you will do
Design and deliver proof-of-concepts that demonstrate how governance requirements translate into measurable working configurations within a customers existing AI infrastructure
Own technical implementation end-to-end: from mapping compliance requirements to scoping integration and go-live
Build trusted relationships with technical and non-technical stakeholders across customer accounts
Identify expansion opportunities and flag them to the sales team with clear context
Translate customer feedback and implementation patterns into product insights
Build reusable playbooks templates and integration guides that scale the teams capacity
Who we are looking for
Most engineers treat compliance as someone elses problem. You see it as an engineering challenge. You know your way around ML pipelines understand what governance requirements actually demand at the infrastructure level and can make both a data scientist and a legal team trust your work.
Must-Haves
2-5 years in a technical implementation solution engineering or ML engineering role
Hands-on experience with data AI or ML workflows in a production context and an understanding of what governance and compliance mean at that layer
Comfort working across technical stakeholders (data scientists ML engineers IT) and business stakeholders simultaneously
Fluency in English and Dutch
A degree in a technical field (Engineering Data Science Econometrics or similar)
Nice-to-Haves
Experience in regulated industries (finance healthcare public sector)
Familiarity with AI compliance frameworks (EU AI Act model risk management)
Experience in a start-up or fast-paced scale-up environment
What to expect from us
Shape the Future of AI: Work at the forefront of AI governance transparency and compliance helping organizations innovate responsibly and create meaningful impact.
Collaborative Culture: Be part of a team that values openness inclusivity and collaboration. At Deeploy every voice matters and diverse perspectives drive our innovation.
Growth Opportunities: Access opportunities to learn develop and advance your career in a fast-growing company dedicated to transforming the AI landscape.
Competitive Benefits: Enjoy a competitive salary stock options and a comprehensive benefits package including a pension plan.
Flexibility and Balance: Thrive in a flexible hybrid work environment that supports your personal and professional well-being.
Our Hiring Process
We value efficiency and transparency. Heres what to expect:
Application: Share your LinkedIn/CV and any personal projects youre proud of.
Introductory Call: A 20-minute chat to introduce our team and learn more about you.
Personal & Team Fit: A 60-minute chat with 2 team members you would work with in the future
Case Study: Prepare a case (timeboxed to 3 hours) and present it in a follow-up meeting with two team members.
Offer: If were a fit well extend an offer and welcome you aboard!
Got questions Reach out anytime at .
Required Experience:
IC
