Top Artificial Intelligence Jobs in the Netherlands

The Principal Agentic AI Engineer will build AI-driven systems, integrating various data sources while implementing complex workflows and interaction patterns, requiring strong engineering skills and rapid iteration.

The Lead Agentic AI Engineer role involves optimizing AI models for real-world applications, requiring expertise in model design, performance tuning, and hands-on experimentation.

The Senior Solution Sales Executive will lead sales strategy for ServiceNow's Data & AI solutions, engaging clients to streamline digital transformation and enhancing sales cycles with integration of AI technologies.

The Solution Sales Executive will drive sales strategies in AI, Data & Analytics, engage with C-Suite clients, and collaborate with internal teams to deliver solutions that foster organizational transformation.

The Director Sales, Data and AI EMEA North will lead sales strategy and team management, drive customer engagement with C-Suite, manage forecasts, and develop high-value opportunities in Data and AI.

The Senior Consultant will manage digital transformation projects, focusing on strategy, marketing excellence, and customer experience. They will collaborate globally while ensuring project quality and governance.

As a Senior Software Engineer - ML/AI at Adyen, you'll develop AI products to optimize operations, mentor teams, and enhance data-driven decision-making.

The Senior AI Engineer will design and build AI solutions for financial crime investigation, focusing on scalable agentic systems and leading MLOps initiatives.

Lead government affairs strategy and engage with public sector leaders in the UK and EU, educating on cloud and cybersecurity policies.

Lead the architecture and delivery of perception models for ADAS/AD, focusing on scalable AI model creation for automotive applications.

Lead development of AI-powered capabilities, bridging technology, product strategy and market commercialization, while managing product portfolios and cross-functional teams.

The IT Support Engineer provides on-site technical support, manages IT processes, assists with system access for new employees, and ensures efficient operation of workplace technology.

The Major Account Manager drives sales in a targeted list of Fortune 500 accounts, developing and executing account plans while maintaining relationships with stakeholders. Responsibilities include consultative selling of networking solutions and business planning to meet customer needs.

The Agentic AI Domain Architect designs AI-powered workflows, governing agent interfaces across systems, translating customer workflows into agent skills, and driving data-centric improvements.

The Lead Specialist will develop and operationalize a Red Teaming effort, conducting penetration tests and simulating threats while establishing frameworks and SOPs.

The VP Analyst leads Gartner's AI strategy, creating insights, conducting analysis, advising clients, and mentoring team members. They engage with clients to address market trends and challenges.

The AI Lead is responsible for managing AI teams, driving AI project strategies, and ensuring deployment efficiency in telecommunications. They will oversee AI R&D, mentor team members, and collaborate across teams to align AI solutions with business goals.

As an HR Systems / AI Transformation Intern, you'll lead AI initiatives, analyze HR workflows, develop prototypes, collaborate with stakeholders, and report findings to improve HR operations.

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 job involves managing AI product efficiency, overseeing product development, and ensuring alignment with company objectives.

The AI/ML Engineer role emphasizes technical leadership, project management, and client consultation, focusing on cloud solutions and system architecture. Candidates should have experience with data centers, systems architecture, and cloud technologies, aiming for innovative solutions within budget and time constraints.

As an AI Research Engineer, you'll optimize model deployment and inference architectures for AI systems, enhancing performance across various applications, especially on resource-constrained devices. Responsibilities include designing efficient serving architectures, conducting inference tests, and collaborating with teams to integrate solutions.

As an AI Research Engineer, you will develop multi-modal reinforcement learning systems, focusing on optimization across data modalities, conducting research on algorithms, and building infrastructure for scalable training and evaluation.

As an AI Research Engineer, you will develop and optimize vision-language models, managing the full model lifecycle from training to deployment, focusing on efficiency and innovation in multimodal architectures.

Drive innovation in post-training methodologies for AI models, focusing on agentic behaviors, tool use, and enhancing model capabilities for real-world applications.