Top Artificial Intelligence Jobs in the Netherlands

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related financial services. Define user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to deliver simple customer journeys. Use data, feedback, research, and production issues to improve decisions, launch features, monitor results, and drive iterations while balancing speed, usability, business impact, compliance, and operational complexity.

Own AI Investing product areas and define user problems, product scope, success metrics, roadmaps, and launch plans. Partner with engineering, design, data, operations, compliance, and business teams to simplify financial products, ship features quickly, monitor performance, and iterate using data, research, feedback, and production insights. The role requires strong product judgment, execution, prioritization, communication, stakeholder management, and ownership in a fintech or high-growth environment.

Own product areas across financial services, including insurance, payments, savings, investing, and travel. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, compliance, operations, and business teams; simplify complex financial workflows; launch features; monitor performance; and iterate using data, research, feedback, and production issues.

Provide technical support for ClickHouse and Langfuse customers across EMEA and global regions through cases, chat, Slack, community channels, and calls. Troubleshoot database, cloud infrastructure, AI application, tracing, and evaluation issues within SLA and on-call rotations. Develop documentation and educational content, assist with technical proofs of concept, mentor colleagues, escalate bugs, collaborate with Engineering and Product teams, and support customer implementations directly in codebases.

Designs end-to-end enterprise AI architectures on AWS, including LLM orchestration, integrations, cloud infrastructure, security, scalability, and governance. Leads technical discovery workshops, creates architecture documentation and standards, guides engineering squads, reviews designs, presents decisions to senior stakeholders, and evaluates third-party AI platforms for buy-versus-build decisions. Requires extensive senior architecture experience and fluent Dutch and English.

Serve as a senior technical expert in Generative AI, Deep Learning, and Databricks Lakehouse architectures. Advise enterprise customers on agentic AI, reinforcement learning, fine-tuning, and production deployments. Partner with Product Management, Engineering, Sales, and Field Engineering across EMEA to drive Gen AI adoption, influence product strategy, deliver enablement, resolve escalations, and support competitive technical validations. Create thought leadership content and guide senior customer stakeholders through complex AI implementations.

Create high-converting video ads for e-commerce brands across Meta and social platforms. Responsibilities include using AI tools to edit and repurpose footage, develop hooks and visual storytelling, produce creative variations, add captions and motion graphics, collaborate with marketing and creative teams, incorporate feedback, and manage multiple projects while meeting deadlines.

Provide internal IT helpdesk support, resolve user issues, assist with employee onboarding and offboarding, manage identities and devices through Microsoft Entra ID and Intune, maintain documentation, and support cybersecurity initiatives. The intern will also explore AI adoption, including Microsoft Copilot use cases and an AI adoption framework, while installing and maintaining hardware and workstations.

Develops and productionizes GenAI applications for customers, including RAG, multi-agent systems, Text2SQL, and fine-tuned models. Owns production rollouts, advises customers, communicates technical concepts, presents at industry conferences, and influences product and engineering roadmaps. Requires extensive industry data science experience, production machine learning deployment expertise on major cloud platforms, and familiarity with tools such as HuggingFace, LangChain, DSPy, pandas, scikit-learn, PyTorch, Databricks, and Spark. Travel to customers is required every 4–8 weeks.

Owns AI model development end to end, including dataset design, supervised fine-tuning, post-training, evaluation, data pipelines, production deployment, monitoring, and iteration. The role optimizes models for latency, cost, reliability, and scale while collaborating with Go API and infrastructure teams. It also involves setting technical direction in an ambiguous environment, contributing to open source, mentoring engineers, and maintaining high engineering standards.

Design and build AI agents, automation workflows, and RAG pipelines using LLMs and vector databases. Integrate AI into marketing systems, optimize model cost/performance, and collaborate with stakeholders to deliver data-driven marketing solutions.

The Backend Engineer will develop and maintain features for Restream web services, design backend APIs, ensure infrastructure resilience, and contribute to a collaborative team environment.

Develop and integrate Clinical AI software components, wrapping models into deployable systems and connecting AI outputs to reporting and viewer applications. Implement front-end modules, PDF report generation, and back-end integration; follow quality/regulatory processes, write documentation, perform code reviews and testing, and support production issues. Collaborate with product and engineering teams throughout the development lifecycle.

Design, build, and operate agentic AI systems for autonomous network optimization. Develop scalable AI/ML pipelines, ensure production reliability through monitoring, testing, and governance, integrate models into real-time network environments, and apply reinforcement learning for self-adapting models.

Seeking a Senior Full-Stack Engineer to develop AI-driven web and mobile applications, focusing on scalable architectures and API integrations. Collaborate with product teams to translate features into technical solutions.

The role involves designing and implementing solutions on the Power Platform, collaborating with stakeholders, and integrating tools within DevOps practices, with a focus on automation and AI.

Senior technical lead embedding with customer teams to design, architect, and deliver production-grade AI/ML solutions. Drive model optimization, high-performance training (TPUs), efficient serving (vLLM), MLOps, agentic systems, GDPR-compliant private AI, ROI and cost optimization, pre-sales technical support, mentoring, and external thought leadership.

Lead end-to-end technical projects for a Voice AI CX platform: scope, plan, manage releases, align product to customer requirements, track metrics, ensure quality, and communicate status to clients and engineering.

The AI Research Engineer will design and implement AI models for clinical applications, collaborate with clinical scientists, mentor research scientists, and analyze model performance in breast cancer care.

Build and maintain the marketing automation backbone and AI agent integrations. Implement event tracking, data pipelines, CRM customizations, and cross-channel workflows. Prototype agent infrastructure, connect APIs/webhooks, automate go-to-market tasks, and produce analytics and attribution to support growth and experimentation.

No job description provided. Title indicates an internship focused on community management, communications, and improving productivity with AI tools.

As AI Strategy Lead, you'll manage key clients and develop AI strategies for tech scale-ups, leveraging your consulting experience and network.

Lead applied AI workstreams: run discovery, design AI operating systems, prototype and ship skills, agents and integrations using AI-assisted and no-code tools; implement internal AI capability; coach the consulting team and productize AI coaching and change propositions to deliver measurable workflow redesigns and productivity uplift.

As a Full Stack/Product Engineer, you will design, develop, and deliver scalable web applications, manage software lifecycles, collaborate with teams, and mentor junior engineers.

Support AI agent design, testing, and workflows for marketing clients; help run AI discovery workshops and client sessions; conduct market research and pitch materials; document learnings and contribute to platform innovation using WPP Open.