Top Artificial Intelligence Jobs in the Netherlands

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.

The Principal AI and Data Architect leads technical design in AI and data architectures, collaborates with CxOs, and develops solutions that enhance customer experiences using Salesforce D360 and Agentforce.

The Principal Data and AI Architect will develop innovative solutions for customers, collaborate with teams to drive product adoption, provide technical expertise, and contribute to product roadmap utilizing deep knowledge of CRM, data analytics, and AI technologies.

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.

The Technical Lead will drive AI and Data Science initiatives across various domains, influencing stakeholders, mentoring teams, and delivering scalable AI solutions while ensuring business impacts and operational performance.

The VP Analyst will provide insights on AI and application services to C-level clients, conduct research, develop content, and deliver strategic advisory sessions. They will leverage broad industry experience and technical knowledge in AI technologies and application stacks.

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.

As a Senior DevOps Engineer, you'll design and maintain cloud infrastructure, automate processes, build CI/CD pipelines, ensure system compliance and security, and collaborate with developers to enhance performance.

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 role involves researching and developing GPU acceleration techniques for AI workloads, optimizing complex algorithms, and collaborating with technical experts. Responsibilities include publishing findings and influencing next-gen architecture designs.

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.

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.

This internship focuses on investigating AI applications within the Motion division, improving workflows with AI tools, and providing implementation recommendations.

The Junior Marketing Manager will execute end-to-end marketing campaigns, optimize digital executions, collaborate with teams, and analyze campaign performance to drive customer adoption, retention, and growth.

As a Senior SecOps Engineer, you'll design, automate, and operate security controls, manage IAM/RBAC, conduct threat modeling, and drive incident response.

The Expert Partner will lead client engagements in Data & Analytics, advising on strategic initiatives, building teams, and managing client relationships to drive business success and financial objectives.

The Pedagogical AI Expert will strengthen AI product development at Sanoma Learning, shaping pedagogical strategy and translating it into product requirements, focusing on learning outcomes and risk mitigation, while collaborating across teams.

Develop and improve AI-driven legal products utilizing LLMs through design, integration, and backend system optimization, collaborating with cross-functional teams.

The Principal Full Stack Engineer will develop the GenAI platform used in healthcare and other industries, mentoring engineers and leading the team in creating AI agents and full-stack systems.

As a Senior AI Engineer, develop and improve AI-driven product features using APIs, optimize backend systems, and collaborate on intricate workflows for legal AI applications.