Top Artificial Intelligence Jobs in the Netherlands

Lead and own Agent0: co-own roadmap with Product, hire and grow a senior AI engineering team, drive delivery of production-grade agentic AI, set evaluation and monitoring standards, prototype innovations, and provide thought leadership on AI production excellence.

Design and implement execution primitives for AI/agent workflows in Kestra's Java core, build and maintain plugins to connect LLM providers and agent frameworks, convert agent use cases into reusable blueprints with product, and ensure AI executions are observable, debuggable, correct, and reliable.

Build end-to-end AI features and prototypes across backend and frontend, prototype AI agent use cases, create UI/blueprints/examples to make AI workflows usable, and ship features quickly in collaboration with product and backend teams.

Own AI workflows product: discover and validate AI use cases with customers, define roadmap and specs, create reusable blueprints with engineering, and prioritize what not to build.

Design, build, and run production agentic workflows and reusable components for delivery processes. Implement RAG-backed knowledge bases, monitoring, evals, observability, and human-in-the-loop feedback to improve agents and integrate them with delivery teams and business tools.

Design polished, mobile-first interfaces and prototypes for BJAKs AI and financial products. Translate requirements into wireframes, flows, and high-fidelity UI, maintain the design system, collaborate with PMs and engineers, iterate from user feedback, and ensure accessibility and responsiveness across devices.

Lead strategic AI adoption for enterprise customers across EMEA by designing, prototyping, and implementing agentic and conversational AI solutions. Drive discovery, architecture, POC/MVP delivery, evaluation frameworks, governance, and handover while mentoring teams and shaping product and roadmap decisions to achieve measurable business outcomes.

Lead end-to-end implementation of QVAC-powered AI deployments, align client objectives with product capabilities, coordinate cross-functional teams, manage roadmaps, governance, and production rollouts, and produce executive reporting while ensuring privacy-preserving and distributed inference solutions meet client requirements.

Design and implement graph-based search services and scalable backend systems using Java and Spring Boot. Build GraphQL/REST APIs, integrate with AWS services and databases, ensure observability with New Relic and Coralogix, mentor engineers, and collaborate on search and recommendation features to deliver reliable, cloud-native solutions.

As an AI-native growth hacker, you will implement a growth strategy, focusing on a specific growth wedge, leveraging AI tools, and measuring performance to scale successfully.

Senior Director analyst providing thought leadership and actionable research on infrastructure and operations AI strategy. Produce insights, presentations, and client advisories; guide AI infrastructure, cloud adoption, integration, governance, and vendor selection. Lead research agenda, mentor analysts, collaborate cross-functionally (infrastructure, engineering, enterprise architecture, cybersecurity), support sales, and represent Gartner at events. Drive process improvements and influence senior stakeholders to align infrastructure and operations with business outcomes.

The Lead/Staff Full Stack Engineer, AI Platform & Agents will build and lead development on the GenAI platform, focusing on full-stack applications, AI agents, and rapid deployment, driving impactful innovations in healthcare and other industries.

The Principal Full Stack Engineer will develop the GenAI platform used in healthcare and other industries, mentoring engineers and leading the team in creating AI agents and full-stack systems.

Hands-on internship developing machine vision and AI inspection systems. Build Python backend image-processing and ML pipelines, work with real-time camera data, integrate and optimize inference (ONNX, TensorRT), support ML deployment, and contribute frontend dashboards and API integrations. Opportunity to work on robotics kinematics and simulation.

Lead development and scaling of AI-powered clinical applications using LLMs. Gather user and industry requirements, write product specifications, prioritize roadmaps, coordinate sprints and releases, validate quality with engineering and QA, and design generative AI capabilities to streamline pharmaceutical workflows and regulatory documentation.

Develop a data-driven early warning system by ingesting and structuring ERP and supplier escalation data, identifying KPIs and root causes, building predictive models, applying parameter optimization, and delivering a prototype dashboard, validation, and implementation roadmap.

Define product vision and strategy via market research and data analysis; build prioritized roadmaps; collaborate with PMs, designers, and engineers to launch products; communicate with stakeholders; track performance and iterate post-launch.

Work on enhancing code repositories, validating models, building web applications, and optimizing prompt complexity for AI tasks in a continuous project environment.

The role involves enhancing code repositories, validating models, developing web applications, and optimizing AI prompts. It emphasizes improving AI programming skills through practical tasks using development expertise.

Lead the AI Enablement and Execution role, focusing on building efficient workflows and systems, hiring a team, and driving organizational leverage through AI integration.

This role involves defining AI safety measures, governance patterns, and privacy guidance. You'll enhance the AI platform, ensuring safe and efficient product deployments.