Top Artificial Intelligence Jobs in the Netherlands

Conduct applied AI and machine learning research for an AI sales development platform. Responsibilities include designing privacy-preserving models, preprocessing data, training models, running experiments, integrating prototypes into production, interpreting research papers, publishing internal reports, and ensuring GDPR-compliant implementations. The role requires collaboration with engineering and stakeholders in a fast-paced startup environment.

Conduct applied AI/ML research to help an AI sales platform rapidly adapt to individual customer environments using sparse interaction data. Responsibilities include designing learning and feedback strategies, building and evaluating prototypes, integrating models into production, researching academic literature, presenting findings, and ensuring GDPR-compliant implementations. The role involves close collaboration with engineering and offers a potential path to lead the company’s applied research function.

Research and develop confidence calibration and uncertainty methods that determine when AI agents should act autonomously or defer to humans. The intern will design experiments, build and evaluate prototypes, implement research findings, integrate successful models into production, write internal reports, and collaborate with engineering and stakeholders. Work must address AI safety, reliability, and GDPR/AVG requirements by design.

Software Engineer Interns will help design, build, test, and deploy agentic AI systems, including backend APIs, data pipelines, workflow orchestration, AI integrations, and internal monitoring tools. They will translate requirements into scalable software, support client proof-of-concepts, participate in reviews and demos, and experiment with generative AI, vector retrieval, and automation frameworks. The role is hybrid in Eindhoven for 5–6 months and includes collaboration with engineering and AI consulting teams.

As a Software Engineer, you'll design, build, and maintain scalable systems, improve CI/CD pipelines, collaborate across teams, and ensure code quality and reliability.

Provide research and advisory to global CFOs and Controllers on transforming controllership processes (AP, AR, financial close) using AI, automation and finance technologies; produce published research, vendor evaluations, and client-facing presentations; collaborate with analysts and deliver strategic, actionable recommendations to improve financial reporting and automation outcomes.

Lead design quality engineering for AI-enabled medical software across the product lifecycle. Drive compliance with ISO/IEC and AI frameworks, oversee AI model validation, risk analyses, design reviews, testing automation, and mentor teams to ensure traceability, reliability, and regulatory readiness.

Lead product development in the industrial sector focusing on IoT, edge computing, and AI applications. Oversee product lifecycle, conduct market research, and collaborate with cross-functional teams.

As a Staff/Senior AI Product Engineer, you will build AI-powered product features, enhance the tech stack, and design AI workflows while collaborating with product teams. Your focus will be on agent-native architecture and improving the codebase for AI agents.

Define and execute the product roadmap for AI-driven blockchain security monitoring tools. Collaborate with cross-functional teams, analyze market and customer feedback, deliver features on time, and communicate with stakeholders to align expectations and improve product offerings.

Lead enterprise vulnerability management across infrastructure, cloud, applications, and code. Use LLMs and generative AI to automate detection, analysis, prioritization, and remediation. Collaborate with security, DevSecOps, cloud, and app teams to implement AI-driven workflows, reduce manual effort, and ensure timely remediation and compliance.

Join sales and delivery as a technical expert to scope, design, implement, and improve custom AI solutions on the Lleverage platform. Support pre-sales calls, lead solution design and implementation, advise customers, shape product roadmap, and improve live-solution quality.

Own and grow the Data Layer: build and operate ingestion, transformation, reconciliation, and serving pipelines (raw→refined→curated). Use agentic AI tools to accelerate delivery, ensure data correctness, and partner with backend, AI, and product teams to define reliable data contracts.

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.

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 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.

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.

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.

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.

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.

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.

Translate TecAlliance business problems into production-ready AI solutions: define use cases, prototype with ML/LLM components, iterate with stakeholders, and hand over to production while documenting and scaling best practices.

Create high-converting image and video content for e-commerce ads and product campaigns, optimize creatives for CTR and conversions, run end-to-end campaign design, and scale production using AI tools while maintaining brand consistency.