# Solution Engineer, AI Governance
As a Solution Engineer, you are responsible for the technical journey from the first proof-of-concept to full platform adoption, transforming complex customer environments into working, compliance-conforming AI governance setups.
## What you will do
- Design and delivery of proof-of-concepts that demonstrate measurable value within a customer's existing AI infrastructure
- Full ownership of onboarding and implementation, from scoping to go-live
- Build trust relationships with technical and non-technical stakeholders within 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 team capacity
## Who we are looking for
You operate at an unusual intersection: deep enough to debug an MLflow integration, sharp enough to explain model risk to a CFO.
### Must-Haves
- 2-5 years of experience in solution engineering, implementation or technical customer success
- Practical experience with data, AI or ML workflows in production context
- Comfort working with both technical (data scientists, ML engineers, IT) and business stakeholders
- Fluent English and Dutch
- Degree in a technical field (Engineering, Data Science, Econometrics or comparable)
### Nice-to-Haves
- Experience in regulated industries (e.g. finance, healthcare, public sector)
- Familiarity with AI compliance frameworks (e.g. EU AI Act, model risk management)
- Experience in a start-up or fast scale-up environment