Top Artificial Intelligence Jobs in the Netherlands

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.

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.

As a Lead AI Engineer, you will lead AI projects, manage teams, and act as a strategic advisor to clients in a consultancy context.

As an AI Engineer, you'll design AI tools for authors, enhance internal workflows, and build tools for AI development, collaborating with teams to identify AI opportunities.

The role involves leading Data & AI offerings in Europe by shaping the go-to-market strategy, enabling local sales teams, and analyzing market demands.

Interns will research and evaluate existing AI tools to improve knowledge sharing and configuration processes. This will include user testing and demos.

As an AI Curriculum Development Specialist, you will create engaging learning content and develop curricula using AI, enhancing the efficiency and interactivity of training.

The AI/ML Engineer will design and operationalize an AI Platform using Azure, focusing on automation and improving data security while collaborating with various teams to ensure compliance and efficiency.

The Senior AI Product Manager will lead cross-functional teams to define, develop, and manage B2B SaaS products, focusing on customer value and market needs, while utilizing Agile methodologies and Generative AI technologies.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

The role involves engineering, testing, and the development of advanced frontend components for an AI-driven cybersecurity product, integrating AI features and ensuring best practices are followed.

The Fullstack Engineer will focus on product software engineering, agents framework engineering, and R&D in AI and cybersecurity. Responsibilities include hands-on engineering, testing, and integrating AI Agents into existing systems.

As a Senior Software Engineer, you will design and implement AI-powered agents to automate assurance workflows and build production-ready solutions. You'll collaborate with product teams to enhance the development process and maintain high standards in code quality and architecture.

The Customer Engineer will provide technical guidance and support to sales efforts, conducting demonstrations and tailoring solutions for clients, while collaborating with cross-functional teams to drive success.

As a Senior AI Engineer, you'll develop robust AI/ML applications for clients in Climate Tech, manage projects, and engage with business stakeholders. You'll work in small teams and support the growth of innovative solutions while enhancing your consulting skills.

The AI Developer will create LLM applications by designing end-to-end solutions, integrating AI models, and collaborating with teams to solve business challenges.

The role involves analyzing large datasets to derive insights for business strategy, building AI solutions, and communicating findings to the CEO.

The Senior Sales Development Representative will own outreach to potential customers, build relationships, and drive sales opportunities while achieving sales targets in a fast-growing scale-up.

As a Senior AI Network & Compute Consultant at Dell, you will design and implement HPC/AI cluster architectures, oversee deployment, and provide expert consulting on infrastructure strategies.

The Data Analyst will create dashboards, analyze billing data, and derive insights for product development and costs related to AI platforms.

The Senior Machine Learning Engineer will design evaluation frameworks, diagnose model performance, develop ML systems, and mentor junior engineers while collaborating across teams.

The AI Content Evaluator will review content for quality and alignment with guidelines, ensuring annotation accuracy and consistency. Evaluators must follow structured criteria and complete tasks within timelines on a flexible schedule.

Assist in designing AI techniques to discover patterns in operational system data by analyzing datasets and developing prototypes. Responsibilities include data exploration, technology research, pattern discovery, and evaluation of insights.

The Founding Account Executive will manage the full sales cycle, building relationships with technical buyers, closing deals, and collaborating with the CRO to shape pricing strategies and pipeline generation.