Top Artificial Intelligence Jobs in the Netherlands

Lead horizon scanning and external intelligence to identify AI and disruptive tech opportunities for R&D. Translate trends into actionable briefs, design and run pilots with stage-gates, and scale successful capabilities into production. Influence senior leadership with strategic foresight, build external partnerships, and embed a future-back innovation culture across cross-functional teams to measurably improve R&D outcomes.

Design, build, and operationalize AI-powered solutions (assistants, agents, document processing, predictive models) within Keylane's Azure-based SaaS platforms. Bridge customer needs and engineering, shape AI standards, tooling, evaluation, monitoring, and MLOps practices, and support deployment and continuous improvement of production AI capabilities.

Build and architect backend services, integrations, and cloud-native platform capabilities enabling AI functionality. Design scalable APIs, event-driven integrations, and secure REST APIs; lead prototypes, mentor engineers, and drive production-ready solutions across the organisation.

As an IT Support Intern, you will assist with IT operations, resolve user issues, manage identities in Microsoft Entra ID, support device management, and contribute to cybersecurity initiatives while exploring AI use cases.

Create high-volume, high-quality marketing content using generative AI and AI agents. Produce video, image, and social content, develop attention-driving campaigns, track AI and culture trends, and iterate quickly with the marketing and founding team.

Provide EU-focused counsel on AI and privacy regulation (EU AI Act, GDPR, DSA); draft policies, DPA and contractual terms; translate legal requirements into technical and operational controls; advise product, engineering, and go-to-market teams; liaise with regulators and manage compliance programs and risk assessments.

Design, build, monitor and optimize responsible Generative AI solutions for financial clients. Focus areas include performance monitoring, red‑teaming, fairness and bias evaluation, reusable GenAI building blocks, APIs, and collaboration with stakeholders to deliver cost‑effective, scalable solutions.

Develop and maintain front-end and back-end AI-enabled web and desktop applications. Collaborate with cross-functional teams to design features, optimize scalability and security, troubleshoot defects, participate in code reviews, and implement AI assistant technology integrated with enterprise systems.

Lead AI-focused consulting engagements, build C-suite relationships, drive profitable growth and business development, oversee multi-disciplinary delivery, ensure operational excellence and utilization, shape strategic initiatives and thought leadership, and mentor talent to deliver transformational Data & AI and cloud solutions.

Embed on-site with mid-market CEOs to lead Valis AI deployments: own executive relationships, run transformation cadences, drive fast fixed-scope wins, translate problems into build-ready specs, ensure finance-verified P&L outcomes, manage end-to-end rollout and adoption, and codify repeatable deployment methods.

Design, build, and maintain automated test suites, evaluation scenarios, metrics, and datasets for AI-powered features. Automate QA workflows with Python and CI/CD, test APIs and ML model outputs, define quality strategy and acceptance criteria, create CI/CD quality gates, mentor teams, participate in code reviews, and document findings.

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.

The Business Process Expert focuses on applying AI to enhance service delivery, processes, and outcomes while ensuring quality and compliance in operations.

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.

Develop intelligent agents for a materials discovery engine, orchestrating scientific workflows and integrating experimental design for sustainability solutions.

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.

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.

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.

Evaluate and rank personalized LLM responses using multi-turn prompts based on your personal data sources. Design prompts, assess grounding, integration, and helpfulness, perform side-by-side comparisons, write clear rationales with turn references, extract and verify debug info, and maintain strict data hygiene. Provide constructive feedback and detailed annotations while working independently as part of a global evaluation team.

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.

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.

Post-sales, customer-facing role that drives developer adoption of AI tooling by designing and running hackathons, Customer Developer Days, and repeatable facilitation infrastructure. Partner with deployment and success teams to diagnose adoption stalls, run high-touch interventions, capture outcomes, and evangelize results. Must be technically credible with developers and able to troubleshoot and demonstrate AI coding tools in real time.

Manage and support engineering teams building shared AI platform capabilities. Guide delivery, set priorities, ensure reliability and quality, drive technical standards, improve developer experience, and foster inclusive team growth and cross-team alignment.