Top Artificial Intelligence Jobs in the Netherlands

Lead technical delivery and architecture of enterprise ServiceNow solutions across ITSM, CSM, HRSD, and CMDB. Design Agentic AI (MCP) solutions, integrations (REST, MID Server, IntegrationHub), server-side scripting (Glide Script), workflows (Flow Designer), and automated tests (ATF). Provide technical leadership, run discovery workshops, perform architecture/code reviews, mentor consultants, and resolve complex delivery challenges.

Lead and build Axelera's AI Infrastructure Systems division to deliver datacenter-class hardware from accelerator cards and OAM/UBB modules to 1U/2U racks. Own architecture, schematics, PCB/layout review, power/thermal/mechanical design, BMC/firmware, bring-up, validation, qualification, NPI, and ramp with CMs/ODMs. Align roadmaps with silicon, SDK, and product teams, engage customers and partners, set engineering processes, manage budget and vendor relationships, and mitigate technical risks through hands-on leadership.

The AI-First Full-Stack Engineer will lead full-stack development using Node.js and Next.js, integrating AI workflows and orchestrating Claude agent teams for efficient engineering processes, ensuring compliance with healthcare standards.

Own end-to-end product for a slice of Nebius AI compute platform: define strategy, APIs, and roadmaps; drive cross-team delivery; conduct structured discovery; measure adoption and platform outcomes; engage engineering as a technical peer; and close operational feedback loops to improve reliability and customer experience.

The Site Reliability Engineer ensures user-facing services run smoothly, focuses on systems reliability and scalability, and enhances operational practices through automation and engineering principles.

Build and ship production AI systems across pricing, procurement, automation, content, and demand prediction. Execute high-leverage LLM and agentic workflow solutions with direct commercial impact, working on-platform in an office-first Rotterdam team.

Teach and mentor experienced engineers transitioning to system architecture: run live sessions and office hours, review and assess architecture deliverables, run architecture review boards, provide deep technical feedback, record instructional videos, conduct mock interviews, and lead supporting instructors.

Own end-to-end design, build, deploy, and iterate on production AI systems that improve lead quality, reduce refunds, and automate workflows. Ship customer-facing AI features, agentic workflows, retrieval and context layers, reliable event-driven automations, evaluation datasets and monitoring, and reusable components while connecting technical decisions to business KPIs.

The Senior Full Stack Engineer will develop the GenAI platform, design full-stack applications, ensure secure coding practices, and collaborate with teams to enhance AI agents in pivotal industries.

Build and own the AI platform that enables fast, safe shipping: prototyping sandbox, CI/CD pipelines, automated tests and evals, agent runtime and orchestration, AI tooling, observability, and reliability. Drive platform standards, quality gates, and production-safe agent workflows so builders can ship rapidly and confidently.

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

As an AI Research Engineer, you will focus on model compression techniques to enhance performance of AI systems, ensuring efficient deployment on edge devices while maintaining accuracy.

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.

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.

Build and test AI-agent features and internal agent frameworks for a proactive cybersecurity platform. Implement and integrate generative AI systems (agents and RAG), stay current with AI research, and apply innovations to product development and evaluation within a security-focused environment.

The Director of Business Development will drive revenue through creating strategies for new business, managing client relationships, and overseeing sales processes while ensuring high service standards.

As a Senior AI Engineer, you'll develop robust AI/ML applications for clients in Climate Tech, manage projects, and engage with business stakeholders. You'll work in small teams and support the growth of innovative solutions while enhancing your consulting skills.

Research, train, fine-tune, and productionize speech-to-text models across 24+ European languages. Build reproducible experimentation infrastructure, design and run experiments, evaluate architectures and tooling, and own model roadmap from experiment to deployment on an in-house GPU cluster.

The Business Development Rep will qualify clients and manage outreach in AI Cloud sales, engaging technical audiences and developing partnerships.

The role involves evaluating AI outputs, generating content, and ensuring cultural relevance. Strong analytical skills and local insights are essential to ensure quality in AI training projects.