Deeploy
Technology
ImplementationEngineer,AIGovernance
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Implementation Engineer, AI Governance at Deeploy. Skills: AI governance, Solution engineering. Design proof-of-concepts. Deliver proof-of-concepts”
Industry & Context.
Debug MLflow integration
What They're Looking For.
Must Have
2-5 years solution engineering, 2-5 years implementation, 2-5 years technical customer success, Hands-on AI/ML workflows, Hands-on data workflows, Hands-on AI workflows, Production context experience, Technical stakeholder comfort, Business stakeholder comfort, English fluency, Dutch fluency, Technical degree
Nice to Have
Experience in regulated industries, Familiarity with AI compliance frameworks, Experience in start-up environment, Experience in fast-paced scale-up
What You'll Do.
Design proof-of-concepts
Deliver proof-of-concepts
Build trusted relationships
Identify expansion opportunities
Translate customer feedback
Translate implementation patterns
Build reusable playbooks
Build reusable templates
Build integration guides
How You'll Work.
Team & Collaboration
Sales team; Product team; Data science stakeholders; ML engineers stakeholders; IT stakeholders; Business stakeholders
Communication Scope
Customer conversation; Technical implementation
Full Job Description
SOLUTION ENGINEER, AI GOVERNANCE (HYBRID) At Deeploy, we help organizations deploy AI they can trust. As an Implementation 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. 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. We're an AI-native team. That means we don't just build for AI, we aim to be a frontrunner in our own work. We're 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 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 WHO WE ARE LOOKING FOR This role sits at an
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