Deeploy

AI Governance

SolutionEngineer,AIGovernance

Utrecht, Netherlands FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“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.

AI Governance

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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