Wypoon
AI Platform Engineer – Azure & AI Infrastructure (Relocation Provided)
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Amsterdam
Confirm work authorization, visa sponsorship and location requirements with the employer.About the role
We are looking for an experienced AI Platform Engineer to join the AI Infrastructure team of a large enterprise organization in the Netherlands.
The team provides the infrastructure, services and reusable capabilities that enable AI and Generative AI development across the organization. In this role, you will focus on building and evolving secure, scalable and well-governed AI infrastructure within an enterprise Data & AI platform.
Key Responsibilities
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Design and develop scalable AI infrastructure aligned with enterprise standards for security, networking, privacy, monitoring, auditability and governance.
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Prototype emerging AI infrastructure technologies and translate them into production-ready enterprise solutions.
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Design and implement cloud-native solutions on Microsoft Azure.
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Build and maintain CI/CD pipelines, platform automation and Infrastructure as Code.
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Develop integrations between AI services, AKS/Kubernetes and supporting platform components.
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Create reusable templates, platform capabilities and reference implementations for AI development teams.
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Support engineering teams in adopting and using the AI platform securely and effectively.
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Collaborate with Architecture, Security, Risk, Data Governance and Platform teams to ensure technical solutions meet enterprise and regulatory requirements.
What we’re looking for
Platform & Cloud Engineering
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Strong experience with Azure platform engineering, including networking and IAM / Entra ID.
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Experience with AKS / Kubernetes and cloud-native architectures.
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Knowledge of Azure AI Services and Azure API Management.
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Experience with reliability engineering, including observability, scalability and availability.
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Strong Python skills for troubleshooting, automation and prototyping.
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Hands-on experience with DevOps, CI/CD, version control and Infrastructure as Code.
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Knowledge of Generative AI and LLMOps concepts.
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Understanding of AI security and governance, including cost/token tracking and rate limiting.
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Good understanding of LLMs, RAG, AI agents, evaluation and prompt engineering.
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Experience with monitoring and observability of AI/platform services.
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Strong awareness of security, compliance and governance in enterprise environments.
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A Developer Experience (DevEx) mindset and strong systems-thinking skills.
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Experience with architecture modelling and translating requirements into technical solutions.
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Strong communication and collaboration skills.
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Comfortable working across engineering, architecture, security and governance teams.
AI & LLMOps
Architecture & Collaboration
This is a hands-on platform engineering role for someone who combines strong Azure infrastructure expertise with an understanding of modern AI/GenAI platforms and wants to help build secure, scalable AI capabilities for a large enterprise environment.
Technology Stack
Tech Stack
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Microsoft Azure / Azure AI Services
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AKS / Kubernetes
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Azure API Management
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Databricks / Unity Catalog
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Azure DevOps
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Bicep
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Python
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Azure Monitor / Log Analytics
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Microsoft Entra ID
What We Offer
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