Deeploy
AI Governance
SolutionEngineer,AIGovernance
Neural analysis suggests this role is
optimal for Mid candidates.
“Solution Engineer, AI Governance at Deeploy. Skills: AI Governance, Solution Engineering, Customer Success. Design and deliver proof-of-concepts. Demonstrate measurable value”
What You'll Achieve.
Deploy AI they can trust; Working, compliant AI governance setups; Customer outcomes; Product evolves
Industry & Context.
What They're Looking For.
Must Have
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 Have
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
What You'll Do.
Design and deliver proof-of-concepts
Demonstrate measurable value
Own onboarding and implementation end-to-end
Build trusted relationships
Translate customer feedback
Build reusable playbooks
How You'll Work.
Team & Collaboration
Engage stakeholders across data science, engineering, legal, and compliance; Work closely with sales and product; Collaborate with technical and non-technical stakeholders
Communication Scope
Customer conversations; Stakeholder engagement
Full Job Description
SOLUTION ENGINEER, AI GOVERNANCE At Deeploy, we help organizations deploy AI they can trust. As a Solution Engineer, you'll own the technical journey from first proof-of-concept to full platform adoption, turning complex customer environments into working, compliant AI governance setups. No two customers are the same, and neither are the solutions you'll build. 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 MUST-HAVES - 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, mode
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