AI Platform Engineer – Azure & AI Infrastructure

Project overview

We are looking for a candidate who is currently between assignments and available for an initial three-month engagement until the end of February. There is a possibility of extension if the candidate performs well.

You will develop and maintain the AI infrastructure within the Atlas Data & AI platform, enabling teams to build and deploy AI solutions securely, scalably and in compliance with enterprise standards.

A key focus is the intersection of enterprise AI and platform engineering, particularly the development and maintenance of AI Gateway solutions. We are looking for someone with relevant hands-on experience who can contribute from day one.

Responsibilities

• Develop and maintain AI Gateway solutions, using Azure API Management (APIM), Kong or similar technologies.
• Enable secure and governed access to AI models and services through authentication, rate limiting, monitoring and cost/token tracking.
• Design and implement scalable Azure-based infrastructure, integrating AI services with AKS/Kubernetes.
• Build CI/CD pipelines, platform automation and Infrastructure as Code.
• Ensure security, governance, compliance, availability and observability.
• Develop reusable templates and reference implementations for AI development teams.
• Collaborate with architecture, security, risk and data governance teams.

Requirements

Tech stack

Azure, Azure AI Services, APIM/Kong, AKS/Kubernetes, Databricks/Unity Catalog, Azure DevOps, Bicep, Python, Azure Monitor/Log Analytics and Entra ID.

What makes you successful?

• Proven hands-on experience developing and maintaining AI Gateways or API management platforms, such as APIM or Kong.
• Understanding of enterprise AI architectures, LLM integration, AI security and governance.
• Strong Azure platform engineering experience, including networking and IAM/Entra ID.
• Experience with AKS/Kubernetes, Azure AI Services and cloud-native architectures.
• Proficiency in Python, CI/CD and Infrastructure as Code.
• Knowledge of Generative AI, LLMOps, RAG, AI agents and monitoring.
• Strong systems-thinking, architectural and collaboration skills.
• You combine strong platform engineering skills with practical experience operationalizing AI in an enterprise environment. You understand how to securely expose, govern and monitor AI services and can apply this knowledge independently in a complex, regulated organization.

Project details

• Start: flexible
• Location: Amstelveen, NL
• Languages: English