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# Solution Engineer, AI Governance

- **Company:** Deeploy
- **Location:** Utrecht, Netherlands
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, AI Infrastructure, Machine Learning Operations
- **Published:** May 31, 2026
- **Apply:** https://www.careerjet.nl/jobad/nlc6b71e2663056c01e40b80211c3640b2

## About the Role

2-5 years in a solution engineering, implementation, or technical customer success role
Hands-on experience with data, AI, or ML workflows in a production context
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 (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-paced scale-up environment

## Description

This is a hands-on role for someone equally comfortable in a customer conversation and a deep technical implementation. You'll engage stakeholders across data science, engineering, legal, and compliance, translating their needs into concrete implementations on the Deeploy platform. You'll 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.
What you will do
Design and deliver proof-of-concepts that demonstrate measurable value within a customer's existing AI infrastructure
Own onboarding and implementation end-to-end, from scoping through 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 team's capacity


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