Top Artificial Intelligence Jobs in the Netherlands

Lead global indirect tax strategy, optimization, compliance, and cross-functional projects. Advise stakeholders on EU VAT, international supply chains, contracts, and tax technology. Drive adoption and enhancement of SAP S/4HANA, Vertex, and AI solutions while translating complex tax issues for non-experts. Collaborate with tax managers and external advisors, identify cross-functional opportunities, and build indirect tax capabilities across the organization.

Owns business development and distribution sales across the Netherlands for EV charging solutions. Responsibilities include identifying and closing opportunities, managing the full sales cycle, growing installer and distributor relationships, developing strategic partnerships, achieving sales targets, identifying expansion opportunities, monitoring market trends, representing the company at industry events, and providing market feedback to sales and product teams.

As a Senior AI Research Engineer, you will drive Adyen's AI strategy, build production-grade applications, optimize AI interactions in finance, mentor teams, and engage with the AI community.

Own Moss’s pricing and deal desk, approving non-standard pricing, discounts, and commercial terms while maintaining governance and deal velocity. Analyze discount discipline, price realization, deal structure, and win rates; develop segment-specific pricing guidance; coach sales representatives; and partner with Customer Success. The role also improves an AI-powered deal desk agent by reviewing its recommendations, correcting errors, and converting recurring exceptions into scalable rules and playbooks.

Support AI and digital marketing transformation initiatives through pilot coordination, user adoption tracking, change management, training content, knowledge management, and data analysis. Create dashboards, reports, communications, and enablement materials while gathering feedback and identifying improvements to digital platforms and AI-powered marketing capabilities. Collaborate with global marketing, consumer insights, and digital innovation teams.

Design, deploy, and optimize agentic AI workflows for enterprise customers. Lead technical implementations from scoping through adoption, integrating APIs, data sources, and business systems. Serve as the primary technical customer partner, coordinate internal engineering and product teams, define requirements and success metrics, and manage delivery roadmaps. Build reliable prompts, evaluations, orchestration, and human-in-the-loop safeguards while monitoring production accuracy, cost, and latency.

Lead large-scale HR and HCM cloud transformation programs, advising clients on HR process redesign, operating models, technology selection, Oracle HCM Cloud, AI-enabled HR solutions, and workforce transformation. Facilitate workshops, develop roadmaps and proposals, manage stakeholders and vendors, support practice development, and lead consulting teams across complex multinational implementations.

Lead Dune’s product strategy for institutional market data and onchain finance customers. Own the product experience from data creation through delivery, prioritize customer problems, define quality and success measures, and guide engineering and data teams in delivering reliable datasets, feeds, and integrations. Partner with commercial teams on evaluations, pricing, and adoption; improve product operations; and lead a product team focused on customer outcomes.

Conduct quantitative research on market behavior and trading strategies. Responsibilities include discovering predictive patterns, designing statistical and machine-learning models, building AI research agents, developing large-scale research infrastructure, running experiments and backtests, and translating findings into production-ready trading signals. Interns complete an end-to-end research project while collaborating with researchers and technologists.

Conduct quantitative research on financial markets by discovering predictive patterns, developing statistical and machine learning models, running large-scale simulations and backtests, and translating research into production-ready trading signals. Interns collaborate with researchers and technologists, build research infrastructure and AI-powered agents, and complete rigorous projects from hypothesis through evaluation under realistic market conditions.

Supports immigration matters by preparing and filing petitions, assisting with U.S. talent visa processes, researching immigration laws and regulations, and collaborating with cross-functional teams on legal compliance. The role suits an organized, adaptable paralegal with immigration documentation experience who is interested in contributing to an AI-driven startup law firm serving international teams.

Provides privacy and data protection legal advice across the EMEA region. Responsibilities include interpreting GDPR and related regulations, negotiating data processing and transfer agreements, conducting privacy and transfer impact assessments, advising on digital health and AI initiatives, supporting incident investigations, and developing global privacy governance resources. The role collaborates with Legal, IT, Security, HR, Clinical, R&D, and technology teams in a global healthcare environment.

Manages end-to-end investigator and clinical site payments, including payment processing, invoice review, reconciliations, accruals, forecasting, reporting, risk management, and issue resolution. The role reviews data from study budgets, EDC, and CTMS systems; improves payment processes and systems; evaluates AI opportunities; and collaborates with global internal and external stakeholders.

Conduct foundational research on latent space models for voice AI, including neural audio codecs, generative speech models, interpretable embeddings, synthetic audio generation, multimodal speech-to-speech systems, and hardware-efficient training and inference. The role requires mathematical rigor, algorithmic innovation, scalable data pipelines, systems optimization, and controlled experimentation to advance speech and audio foundation models.

Lead Adyen’s global in-person payments product strategy, overseeing hardware, software, payments, loyalty, and AI/ML initiatives. Build and scale a world-class product organization, align engineering and cross-functional partners, define measurable roadmaps, and engage strategic enterprise customers. The role requires executive-level product leadership, deep technical fluency, hardware-software experience, payments expertise, and experience delivering AI-powered products. It is based in Amsterdam and is office-first.

Own the strategy, roadmap, and measurable outcomes for Catawiki’s search, ranking, recommendations, and personalization products. Lead cross-functional initiatives from discovery through experimentation and scale, using customer research, behavioral data, AI, machine learning, and A/B testing to improve relevance, engagement, and buyer conversion. Partner with engineering, design, data science, marketing, and commercial teams while communicating strategy and results to senior stakeholders.

Own a portfolio of audit-focused B2B SaaS accounts, driving onboarding, adoption, health monitoring, success planning, QBRs, renewals, and expansion. Use audit expertise to advise stakeholders, design workflow-based enablement, communicate ROI, identify growth opportunities, and provide audit insights to Product, Sales, and Solutions Engineering. Maintain accurate portfolio data and contribute audit knowledge to the broader Customer Success team.

Develop a pro-human strategy for AI emphasizing controllable, verifiable, human-centered systems. Track efficient models, open-source AI, robotics, and industrial applications; engage international policymakers and stakeholders; build coalitions; and translate technical strategy into policy recommendations. The role requires strong AI technical fluency, policy engagement experience outside the US and China, excellent communication, stakeholder management, and independent strategic leadership.

Supports the design, development, integration, validation, deployment, and monitoring of AI and data science solutions for ESA space programs. Responsibilities include data collection and preprocessing, exploratory analysis, predictive modeling, machine learning, image processing, anomaly detection, data visualization, and use of HPC-based information factory environments. The role also contributes to AI standards, technology development plans, knowledge sharing, and digital innovation initiatives.

Designs scalable ServiceNow architectures, roadmaps, integrations, governance frameworks, and platform strategies across ITSM, HRSD, SPM, IRM, CMDB, and CSM. Advises enterprise stakeholders, leads complex transformation programs, supports presales estimation and scoping, improves platform health, reduces technical debt, and identifies AI and automation opportunities. The role is a four-month engagement based in Amsterdam.

Advises Microsoft partners across France and Benelux on AI Workforce transformation, secure AI architectures, Microsoft 365 Copilot, Copilot Studio, AI agents, DevSecOps, and scalable service offerings. Translates Microsoft technologies into repeatable, production-ready partner solutions, supports commercialization, mentors technical teams, and coordinates regional ecosystem initiatives. The role emphasizes security by design, Zero Trust, automation, modern engineering practices, and partner business outcomes.

Build and operate OrderYOYO’s production data and AI platform using Microsoft Fabric, lakehouse architecture, Python, PySpark, and SQL. Lead legacy-platform migrations, incremental ingestion, semantic modeling, monitoring, data quality, performance optimization, and cost management. Develop AI capabilities including RAG, Azure OpenAI, agents, and applied machine-learning models. Collaborate with executives, Finance, Product, analytics, and engineering teams to deliver reliable reporting, merchant insights, finance automation, and international data products.

Build AI-powered products that solve business challenges, including AI agents and knowledge assistants. Responsibilities span client discovery, solution architecture, integrations, deployment, production optimization, and incorporating user feedback. The role requires hands-on software engineering and AI product development using tools such as TypeScript, Python, LLM APIs, AWS Bedrock, PostgreSQL, and agent frameworks.

Build and ship customer-specific AI automations and agents embedded in creative workflows and tools. Own the studio automation roadmap, convert recurring requests into reusable systems, define quality checks, collaborate with Product, train customers, and document solutions for reuse across studios.

Build and deploy AI systems used by HelloPrint customers and employees, including commerce agents, AI design tools, customer-service agents, and internal automation. The role is a permanent position with a structured first-year residency, rotating across major AI projects while working closely with founders, engineers, and business leaders. Candidates are expected to demonstrate practical projects, strong curiosity, backend fundamentals, rapid learning, ownership, and clear English communication.