Top Artificial Intelligence Jobs in the Netherlands

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.

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.

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

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.

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.