Top Artificial Intelligence Jobs in the Netherlands

Create high-converting image and video content for e-commerce ads and product campaigns, optimize creatives for CTR and conversions, run end-to-end campaign design, and scale production using AI tools while maintaining brand consistency.

Lead development and scaling of AI-powered clinical applications using LLMs. Gather user and industry requirements, write product specifications, prioritize roadmaps, coordinate sprints and releases, validate quality with engineering and QA, and design generative AI capabilities to streamline pharmaceutical workflows and regulatory documentation.

Lead enterprise data platform strategy, drive data and AI adoption, improve data quality and governance, translate business needs into scalable data capabilities, build analytics community, and influence stakeholders to enable AI-driven decision-making and organisational transformation.

Lead the design, build, and deployment of AI-powered agents, workflows, and integrations for global marketing. Evaluate buy-vs-build, integrate platforms (HubSpot, Salesforce, Meta, Google, LinkedIn), optimize AI economics, and measure ROI while collaborating with marketing teams to automate and improve campaign execution and content localization.

Design and build scalable AI applications and intelligent agents using Python and LLMs. Implement agentic workflows (reasoning, planning, tool calling), RAG, prompt engineering, and embeddings. Integrate with APIs, vector databases, microservices, and cloud platforms. Test, monitor, and optimize AI applications while following security, governance, and responsible AI practices and collaborating with cross-functional teams.

Lead practical AI and automation initiatives across Merchant Success, Operations, Product, and Tech. Build internal tools, AI agents, and lightweight proofs of concept; implement and maintain external tools and workflows; improve team efficiency through no-code/low-code automations and operational tooling.

As a Senior Data & Analytics Consultant, you'll advise clients on data strategies, design solutions, and collaborate with teams to enhance outcomes. Strong analytics and communication skills are essential.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

Translate legal expertise into AI-powered workflows and Libra Assistants by working with product, engineering, sales, and customers. Design, configure, test, and deploy AI solutions for law firms and corporate legal teams, run pilots, create learning materials, and provide product feedback to improve accuracy and adoption.

Serve as a strategic advisor for data-driven strategies, lead projects, provide insights, and collaborate across teams for client success.

Partner with Account Executives to present Arize's GenAI observability platform, lead technical demos and discovery, design and run PoCs, advise on GenAI/LLM best practices, handle technical objections, and build relationships with technical and business stakeholders across prospective customers.

Develop intelligent agents for a materials discovery engine, orchestrating scientific workflows and integrating experimental design for sustainability solutions.

As an AI Research Intern, you will tackle AI research questions, build prototypes using AI tools, and design evaluations for AI systems while collaborating with fellow engineers and product managers.

Lead end-to-end architecture for enterprise data, analytics, and AI in a Microsoft-first environment. Translate business needs into secure, scalable designs, prototype and guide delivery teams, ensure governance, security, and production readiness, and enable enterprise AI (Azure OpenAI, RAG) and BI (Power BI) solutions.

Build and scale AI-driven automation solutions using LLMs and agent frameworks. Design multi-step workflows, integrate AI with internal systems (HR, finance, legal, ticketing), automate document processing and data extraction, and train internal teams. Collaborate with technical leads, product, and IT to deliver practical, production-ready automation and iterate quickly.

Work directly with agentic AI infrastructure to improve resolution quality while independently resolving escalated technical support tickets via log analysis, API debugging, and coordination with Engineering. Maintain and enhance the technical knowledge base, track recurring issues for Product/Engineering, and contribute to onboarding and training of new support team members.

Join as an early-career full stack engineer to build frontend and backend product features, integrate AI coding tools into development workflows, translate product requirements into implementations, and grow toward autonomous full stack delivery while improving cross-team processes.

Build and operate distributed backend services and genomic reasoning engines that combine whole genome bioinformatics with AI. Design scalable data models, retrieval and vector search systems, and deterministic guardrails to ensure scientifically accurate, explainable genomic AI for production use.

Design and build production AI systems and distributed backend services that enable genomic reasoning, retrieval, and data platforms. Integrate genomic annotations and interpretation logic, architect high-performance data models and storage across PostgreSQL, DuckDB, Qdrant, Redis, and Spark. Ensure AI outputs are accurate, explainable, and grounded in genomic evidence while collaborating across engineering and bioinformatics teams.

Develop and optimize large neural-network tabular models in Python. Profile training and inference pipelines, improve memory efficiency, latency, and throughput. Implement performance-critical components in Rust (and optionally C++), ensure numerical stability and reproducibility, collaborate with researchers to productionize capabilities, and maintain tests and documentation.

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.

Ship real open-source integrations and MCP servers to bring SearchApi to agent and automation frameworks. Create PRs, example apps, docs, and integration guides. Stay current with the agent ecosystem, pick high-leverage targets, and work independently to deliver production-ready integrations.

Perform remote, part-time data tasks to improve Dutch AI outputs: collect, evaluate, and annotate data; perform pairwise comparisons, counting, object tagging across audio, video, images, and other content.

Design intelligent customs processes, AI-powered assistants, integrations and automated workflows. Analyse operations, define business rules, data models and APIs, improve data quality and orchestrate end-to-end systems to increase efficiency, compliance and first-time-right processing.

Develop AI agents, enhance workflows, and evaluate generative AI models. Build APIs and optimize knowledge systems in a fast-paced environment.