Top Artificial Intelligence Jobs in the Netherlands

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

Own success for a portfolio of strategic enterprise customers by driving AI adoption, developing AI Success Plans, measuring ROI, managing customer health, engaging executives, identifying expansion use cases, leading cross-functional recovery plans, mentoring peers, and providing product feedback to improve value realization and Autonomous IT maturity.

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, including LLM inference infrastructure, RAG, AI agents, and evaluation/observability. Design and run experiments (A/B tests), optimize systems for production performance and reliability, and iterate rapidly with product and design partners.

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.

Lead and deliver petrophysics, seismic petrophysics and rock physics consulting projects and training. Develop best-practice workflows, support sales with technical proposals, publish and present technical work, and build customer relationships to grow consulting services and software adoption.

Lead statistical design, analysis, and interpretation for clinical, discovery, and manufacturing programs. Apply advanced methods and computational tools (R, SAS, AI), support regulatory interactions, mentor contractors, and drive methodological innovation and cross-functional collaboration to inform program decisions and reporting.

Lead product vision and roadmap for agentic AI solutions, own the backlog, translate business needs into user stories, partner with data scientists and engineers, manage Agile delivery cycles, ensure responsible AI practices, and monitor model performance and continuous improvement.

Lead design and implement agentic AI systems: integrate services and models, optimize and fine-tune LLMs (LoRA/QLoRA), build datasets and evaluations, run experiments to improve reliability, cost, and latency for production workflows.

Lead architecture and delivery of perception and spatial AI models from cloud training to deployment on automotive-grade SoCs. Define deployment-first architectures, convert state-of-the-art research into production pipelines, set evaluation and hardware-aware validation standards, partner across research/product/customers, remain hands-on prototyping and debugging, and hire and mentor a high-performing engineering team.

Design and implement agentic AI system logic and reusable components. Integrate models, data sources, and services into scalable workflows. Prototype and iterate on agentic interaction patterns, tooling, and session/context handling. Support UI-facing clients and enable systems to take action through structured tools and APIs.

Contribute to a prototype that organizes market and sales inputs, apply AI/NLP to surface customer themes and market patterns, build prioritization frameworks, convert insights into clear recommendations, and collaborate with cross-functional teams to validate findings.

Work on strategic digital transactions projects (payments, identity, open banking). Perform analyses, stakeholder interviews, translate technical/commercial insights into roadmaps and specifications, support proposals and proposition development, and contribute to client-facing delivery within small cross-functional teams.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

The position involves conducting research and teaching in mathematics-enhanced AI for biomedical applications, mentoring students, and advancing interdisciplinary initiatives.

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.

Lead product and operations for Fin.ai to drive autonomous, auditable resolution of merchant support queries. Own roadmap, quality metrics (resolution rate, CSAT), team of AI support specialists, cross-functional integration with Engineering/Data, and compliance controls for payments regulations.

Lead global regulatory change and adherence processes, design and implement regulatory risk management strategy and operating model, oversee reporting and governance, steward senior forums, champion RegTech/AI innovation, and develop a high-performing, distributed team to ensure regulatory compliance and informed decision-making.

Lead in-house, cross-functional improvement initiatives across underwriting, claims and operations. Use structured problem-solving, process mapping, data analysis and pragmatic automation/AI to design, implement and measure scalable efficiency improvements and prepare business cases for senior management.

Lead global marketing and corporate communications to define Multiverse's narrative, positioning, and GTM for AI/quantum products. Partner with the CEO, build and scale the marketing & communications team, own product messaging, PR, executive positioning, agency relationships, and measure impact on awareness and enterprise pipeline.

Lead field-facing AI security strategy for enterprise customers: design secure LLM/RAG architectures, deliver demos/POVs, advise on data protection and governance, and scale enablement across sales and product teams.

Own partnership sourcing, negotiation, and deal execution to drive adoption of Walrus across AI and Web3 ecosystems. Build relationships with AI builders, data vendors, compute networks, and web3 partners; lead contract negotiations; and manage cross-functional integration from signing through execution.

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.

Lead and develop globally distributed Data and AI teams to deliver production Data/AI solutions. Drive talent development, operational excellence, stakeholder alignment, and responsible AI practices while partnering with Product and Engineering to set priorities, roadmaps, and delivery metrics.

Join Celonis' Orbit graduate program as an AI Solution Consultant to prototype and deliver AI-driven Process Intelligence solutions. Work with customers to design proofs-of-value, build prototypes using LLM and data tooling, present business impact to executives, and ensure adoption and ROI while contributing best practices to the Value Engineering center.

Join Celonis' Orbit graduate program as an Applied AI Value Engineer to design and prototype AI-enabled Process Intelligence solutions, deliver proofs of value, present business impact to executives, ensure adoption and ROI, specialize by domain, and contribute reusable best practices while working with customers across the Benelux region.