AI platform engineer in enterprise infrastructure

Wypoon Technologies; Amsterdam; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

25 vacation days

Relocation support

Visa sponsorship

Temporary housing assistance

Device provided

Certifications/training support

Job summary

Wypoon Technologies in Amsterdam, Netherlands, seeks an experienced AI Platform Engineer to help scale and govern enterprise AI infrastructure within the Data & AI platform. You will design cloud-native Azure solutions, implement IaC, and build CI/CD pipelines while collaborating across Architecture, Security, Risk and Governance teams.

You will prototype new AI infrastructure technologies, ensure observability and reliability, and support teams in adopting the platform securely and effectively.

Qualifications

• Extensive experience with Azure platform engineering, especially networking and IAM.
• Hands-on experience with AKS/Kubernetes and cloud-native architectures.
• Strong Python skills for automation and prototyping.
• Experience with DevOps, CI/CD and Infrastructure as Code.
• Knowledge of Generative AI and LLMOps concepts.
• Understanding of AI security and governance, including cost/token tracking.
• Excellent communication and cross-functional collaboration.

Responsibilities

• Design and develop scalable AI infrastructure aligned with enterprise standards for security, networking, privacy, monitoring, auditability and governance.
• Prototype emerging AI infrastructure technologies and translate them into production-ready enterprise solutions.
• Design and implement cloud-native solutions on Microsoft Azure.
• Build and maintain CI/CD pipelines, platform automation and Infrastructure as Code.
• Develop integrations between AI services, AKS/Kubernetes and supporting platform components.
• Create reusable templates, platform capabilities and reference implementations for AI development teams.
• Support engineering teams in adopting and using the AI platform securely and effectively.
• Collaborate with Architecture, Security, Risk, Data Governance and Platform teams to ensure technical solutions meet enterprise and regulatory requirements.
• Strong experience with Azure platform engineering, including networking and IAM / Entra ID.
• Experience with AKS / Kubernetes and cloud-native architectures.
• Knowledge of Azure AI Services and Azure API Management.
• Experience with reliability engineering, including observability, scalability and availability.
• Strong Python skills for troubleshooting, automation and prototyping.
• Hands-on experience with DevOps, CI/CD, version control and Infrastructure as Code.
• Knowledge of Generative AI and LLMOps concepts.
• Understanding of AI security and governance, including cost/token tracking and rate limiting.
• Good understanding of LLMs, RAG, AI agents, evaluation and prompt engineering.
• Experience with monitoring and observability of AI/platform services.
• Strong awareness of security, compliance and governance in enterprise environments.
• A Developer Experience (DevEx) mindset and strong systems-thinking skills.
• Experience with architecture modelling and translating requirements into technical solutions.
• Strong communication and collaboration skills.
• Comfortable working across engineering, architecture, security and governance teams.

Skills

Azure platform engineering

AKS

Python

DevOps

CI/CD

Infrastructure as Code

Security & Governance

Observability

LLMOps

Cost tracking

Tools

Azure API Management

Entra ID

Azure networking

Job description

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.

• Design and develop scalable AI infrastructure aligned with enterprise standards for security, networking, privacy, monitoring, auditability and governance.
• Prototype emerging AI infrastructure technologies and translate them into production-ready enterprise solutions.
• Design and implement cloud-native solutions on Microsoft Azure.
• Build and maintain CI/CD pipelines, platform automation and Infrastructure as Code.
• Develop integrations between AI services, AKS/Kubernetes and supporting platform components.
• Create reusable templates, platform capabilities and reference implementations for AI development teams.
• Support engineering teams in adopting and using the AI platform securely and effectively.
• Collaborate with Architecture, Security, Risk, Data Governance and Platform teams to ensure technical solutions meet enterprise and regulatory requirements.
• Strong experience with Azure platform engineering, including networking and IAM / Entra ID.
• Experience with AKS / Kubernetes and cloud-native architectures.
• Knowledge of Azure AI Services and Azure API Management.
• Experience with reliability engineering, including observability, scalability and availability.
• Strong Python skills for troubleshooting, automation and prototyping.
• Hands-on experience with DevOps, CI/CD, version control and Infrastructure as Code.
• Knowledge of Generative AI and LLMOps concepts.
• Understanding of AI security and governance, including cost/token tracking and rate limiting.
• Good understanding of LLMs, RAG, AI agents, evaluation and prompt engineering.
• Experience with monitoring and observability of AI/platform services.
• Strong awareness of security, compliance and governance in enterprise environments.
• A Developer Experience (DevEx) mindset and strong systems-thinking skills.
• Experience with architecture modelling and translating requirements into technical solutions.
• Strong communication and collaboration skills.
• Comfortable working across engineering, architecture, security and governance teams.
• Salary Tailored To Your Skills And Experience.
• 25 paid vacation days (based on a 40-hour work week).
• A relocation and travel budget to ease your transition.
• Eligibility for the 30% ruling.
• We've got your daily commute covered.
• A high-quality device to ensure you work efficiently.
• Financial support for certifications, technical training, and language courses - because we value your long-term career growth.
• Visa sponsorship for your partner and children under 18.
• Stay in temporary housing while we help you find your permanent home.
• Extensive support to help you settle in smoothly.
• Enjoy team events and connect with developers from around the globe!