Top Artificial Intelligence Jobs in the Netherlands

The intern will research market trends in AI and cloud, analyze product specs, support sales initiatives, and assist in developing demand-generation campaigns.

Lead legal initiatives for data privacy and AI compliance in Europe; develop policies, provide legal guidance, manage risks, and ensure regulatory compliance.

This inside sales role focuses on driving Data Center and Routing networking opportunities within lower-tier technology accounts, using virtual engagement methods and sales methodologies like MEDDPICC. Specialist will build relationships and collaborate with various teams to close sales.

As Global Head AI and Data Privacy Legal, lead a legal team on AI and data privacy compliance, policy development, risk management, and stakeholder engagement while ensuring ethical practices and legal guidance.

As an AI Engineer, you will design and deploy GenAI applications to optimize operational processes, collaborating with cross-functional teams to enhance AI integration and ensure compliance and performance improvements.

Internship involving the development of an AI-driven assistant for CAD tools, focusing on integrating AI into engineering workflows and enhancing user experience.

Design and optimize multi-petabyte storage systems for AI workloads, including high-performance filesystems and Kubernetes-native storage solutions, while ensuring cost efficiency and performance at scale.

The Solution Director leads client engagement in Data & AI, shaping solutions, driving growth, and fostering strategic partnerships while acting as a trusted advisor to C-suite stakeholders.

The AI Marketing Specialist will develop and optimize AI-driven marketing workflows, enhance email operations, and integrate AI tools to improve marketing efficiency and engagement.

The Applied AI Engineer will onboard clients on Mistral AI products, manage complex integrations, and drive technological transformations through collaboration with stakeholders.

The Principal Engineer - DevSecOps & AI will lead the development of secure and automated CI/CD pipelines while advising teams on best practices in DevSecOps and platform reliability.

As Tech Lead, you will manage a team, optimize AI models, and lead work on moderation systems for a high-scale conversational AI platform.

The Senior E2E AI Engineer develops and deploys AI workflows, builds robust APIs, manages scalable data pipelines, and implements AIOps and security for AI agents.

Design, build, and scale production-ready, async Python backend services for conversational AI. Integrate LLM providers, design APIs, ensure observability and testing, own features end-to-end, and collaborate cross-functionally to drive measurable product impact.

Design, build, and deploy production AI agents in Python, integrate with enterprise systems, evaluate and maintain agent performance, and collaborate cross-functionally while producing well-tested, documented code and CI/CD pipelines.

Design and implement agentic tools, translating product needs to production, scale prototypes, improve semantic search, build evaluation pipelines.

The Principal Data Product Manager for ML/AI is responsible for product strategy, roadmap management, and cross-functional collaboration to deliver data-driven AI solutions that align with business objectives.

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

As a Research Engineer, you will develop evaluation tools for AI coding agents, analyze failures, and improve Kotlin code generation techniques. You'll also build public benchmarks for agent performance and maintain evaluation infrastructure.

As Product Manager for the AI Content group, you will lead content ingestion and structuring to support downstream AI applications, ensuring high-quality content for search and recommendation systems.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

As a Senior Product Engineer AI, you'll design and build AI-enhanced features for debugging and testing, work full stack, and engage with users for feedback.

The Senior Full Stack Engineer will develop the GenAI platform, design full-stack applications, ensure secure coding practices, and collaborate with teams to enhance AI agents in pivotal industries.

The Applied AI Engineer will support customer adoption of AI products, integrate AI models into applications, and improve product capabilities based on feedback.