Top Artificial Intelligence Jobs in the Netherlands

AI Engineers at QuantCo design, build, and implement applied AI systems, working with data scientists to optimize inference, develop scalable solutions, and integrate AI into enterprise operations.

The QA Engineer (AI) position involves validating AI features, designing automation test plans, and ensuring quality across embedded systems and cloud services.

Design, build, and scale intelligent systems using AI/ML across various domains including LLMs, Computer Vision and Speech AI, integrating these into business workflows.

Perform remote, part-time data tasks to improve Dutch AI outputs: collect, evaluate, and annotate data; perform pairwise comparisons, counting, object tagging across audio, video, images, and other content.

As a System Engineer, you'll design, deploy, and maintain high-performance cloud systems, troubleshoot complex system issues, and collaborate to optimize performance and reliability.

The AI and Experience Orchestration Director at Genesys oversees AI-powered customer experience initiatives, partners with core account teams, and drives strategic growth in AI solutions.

The AI Engineering Manager will build and lead a high-performing team focused on AI agents, workflow orchestration, and navigating evolving technology, ensuring clarity and delivering impactful results.

Lead strategic AI partnerships and collaboration with executives to enhance Manychat's AI product roadmap. Oversee partnership negotiations and integrations while offering insights into the AI landscape.

The Staff AI Engineer will build AI agents, design ML models, engineer data pipelines, and enhance automation in financial workflows.

As an AI Impact Operations Intern, you will adapt IAM processes related to AI changes, provide AI insights, create risk analyses, and deliver implementation roadmaps.

Lead product development in the industrial sector focusing on IoT, edge computing, and AI applications. Oversee product lifecycle, conduct market research, and collaborate with cross-functional teams.

As a Senior AI Engineer, you will develop AI-powered features, integrating LLM APIs to enhance user workflows while collaborating with teams to ensure reliability and scalability.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

Design, train, and evaluate NLP and LLM-based solutions (RAG, chatbots, extraction, summarization). Curate and preprocess data, build end-to-end model pipelines, fine-tune and evaluate models, and collaborate with stakeholders to deliver clinically impactful generative AI solutions.

The Lead/Staff Full Stack Engineer, AI Platform & Agents will build and lead development on the GenAI platform, focusing on full-stack applications, AI agents, and rapid deployment, driving impactful innovations in healthcare and other industries.

The engineer will develop AI and data-driven solutions for maritime systems, focusing on computer vision, autonomy, and system integration, collaborating with multidisciplinary teams.

Assist in day-to-day network operations for data center and backbone environments, focusing on learning networking fundamentals and performing routine tasks under supervision.

Develop cloud-based integrations on Microsoft Azure, assist in creating API-based solutions, automate workflows, and contribute to CI/CD processes.

The Site Reliability Engineer will assist in SRE operations, execute defined tasks, and learn about networking, cloud infrastructure, and container management tools.

Conduct applied AI/ML research to solve home design challenges, work with raw data, test hypotheses, and build prototypes/MVP solutions.

Lead the development of the Agentic Services Platform, enhancing AI capabilities, managing a strategic roadmap, and collaborating with engineering teams to create APIs that improve developer experiences.

This internship involves developing and optimizing AI solutions within a governed framework, focusing on technical improvements, process enhancements, and stakeholder collaboration.

The AI Specialist will design, develop, and deploy AI models, optimizing for performance, validating outputs, and integrating into workflows while ensuring responsible AI principles are followed.

Lead design quality engineering for AI-enabled medical software across the product lifecycle. Drive compliance with ISO/IEC and AI frameworks, oversee AI model validation, risk analyses, design reviews, testing automation, and mentor teams to ensure traceability, reliability, and regulatory readiness.

The Applied Researcher will develop and deploy deep learning models focusing on NLP, collaborating with engineers and data scientists to integrate solutions into eBay's products.