Top Artificial Intelligence Jobs in the Netherlands

Own global go-to-market strategy and positioning for SUSE's AI portfolio. Translate technical cloud-native, containerized, and edge inferencing capabilities into executive-level messaging, create high-value content, enable sales and partners, lead ecosystem marketing, and provide market and competitive intelligence to influence product and GTM decisions.

As an AI & Performance Marketing Intern, you'll engage in B2B marketing strategies and optimize paid campaigns while collaborating with a team of growth marketers.

The AI-First Graphic Designer will create visual assets for digital platforms, maintain brand consistency, and collaborate on marketing campaigns. The role requires managing multiple design requests in a fast-paced environment.

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.

The Solution Director leads client engagement in Data & AI, shaping solutions, driving growth, and fostering strategic partnerships while acting as a trusted advisor to C-suite stakeholders.

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

As a Solution Engineer AI Governance, you will design proof-of-concepts, manage implementation, engage stakeholders, and translate customer feedback into product insights.

As a founding engineer in Mistral's Applied AI SRE sub-team, your role involves building reliable frameworks, operating customer environments, and leading security operations for AI solutions.

The role involves researching and developing GPU acceleration techniques for AI workloads, optimizing complex algorithms, and collaborating with technical experts. Responsibilities include publishing findings and influencing next-gen architecture designs.

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.

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.

Embed with internal teams to discover high-leverage AI use cases, build production-capable AI-enabled internal tools, agents, and automations, implement evaluation and monitoring, create reusable patterns and hand off maintainable systems to business owners.

Lead delivery and evolution of platform engineering capabilities (CI/CD, testing, compliance) across Rabobank. Manage multiple DevOps squads (30-40 engineers), ensure 24/7 continuity, drive standardization, security-by-design, stakeholder alignment, hiring and coaching, and financial/sourcing oversight.

Design and build enterprise-grade Copilot/agentic AI solutions: improve grounding and conversational flows, create reusable agent components, lead technical design, mentor Agent Makers, and implement repeatable ALM via Azure DevOps and CI/CD for secure, scalable customer journeys.

The AI/ML Engineer role emphasizes technical leadership, project management, and client consultation, focusing on cloud solutions and system architecture. Candidates should have experience with data centers, systems architecture, and cloud technologies, aiming for innovative solutions within budget and time constraints.

This role involves leading engineering teams in the AI Platform, guiding delivery, supporting team growth, and ensuring technical alignment. Responsibilities include managing priorities, fostering collaboration, promoting best practices, and providing technical oversight and strategy to enhance platform capabilities and team dynamics.

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.

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.

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

The Forward Deployed AI Engineer will support pre-sales, design AI solutions, implement projects, ensure quality, and guide customers through their journey.

As an AI Solution Architect, you'll drive the adoption and scaling of GenAI solutions, partner with sales, design projects, and guide clients in successful AI integration.

The AI Deployment Strategist will drive AI adoption and deployment in industrial enterprises, collaborating with clients to design AI roadmaps, integrating AI into workflows, and ensuring customer success while navigating IT compliance and security constraints.

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.

The AI Engineer will build AI models for compliance, optimize training/inference pipelines, and lead the engineering team in developing AI capabilities.

The role involves developing cloud-native financial compliance solutions, maintaining components, designing APIs, and applying best practices in security and performance. Team collaboration is essential.