AI Expert

AI Expert (Internal AI & Governance) voor een Europese SaaS scale-up, hybride in Brussel, tijdelijk contract.

Bekijk en reageer bij Oliver James (externe link)

Eisen

  • Strong hands-on coding skills in Python and TypeScript, proficiency with Git, and direct experience building with Azure AI infrastructure
  • Demonstrated experience integrating AI capabilities into web platforms alongside internal IT/Data engineering teams
  • Proven background scaling AI governance, data safety, and operational frameworks within SaaS or cloud-first setups
  • Full professional proficiency in English
  • Confident challenging business requests, defining clear ROI, and translating technical architectures into plain language

Wensen

  • Previous exposure to regulated, quality-driven, or compliance-heavy environments
Volledige omschrijving

Oliver James is partnering with a fast-growing, cloud-first European SaaS scale-up currently navigating the second phase of its internal AI transformation. Moving from decentralised pilots to a secure, enterprise-wide adoption model, their Internal IT and Data teams are bringing in a hands-on Internal AI & Governance Expert to bridge strategy, hands-on development, and change management. This role focuses exclusively on internal workflow optimisation, SaaS integrations, and internal web applications – no customer data or core product development involved.

Key responsibilities include refining internal AI governance frameworks, security standards, and development analytics suited for a regulated QMS environment; actively engaging cross-functional stakeholders to interrogate the business logic and clear ROI behind requested AI tools; partnering with internal IT and Data teams to build and integrate AI capabilities into internal web applications using Python, TypeScript, and Git; leveraging Azure AI tools (Azure OpenAI Service, Azure AI Search, Azure AI Foundry, Machine Learning) to deploy secure internal automation; demystifying AI tools for non-technical teams; and supporting 2026 roadmap initiatives including internal AI Knowledge Bases, AI Champions programs, and role-specific training modules.

The candidate should have a proven background scaling AI governance, data safety, and operational frameworks within SaaS or cloud-first setups, strong hands-on coding skills in Python and TypeScript, proficiency with Git, direct experience building with Azure AI infrastructure, demonstrated experience integrating AI capabilities into web platforms, confidence in challenging business requests, and full professional proficiency in English. Previous exposure to regulated, quality-driven, or compliance-heavy environments is highly preferred.

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