Top Artificial Intelligence Jobs in the Netherlands

Lead enterprise AI adoption by coordinating training, enablement, change initiatives, governance, compliance, demand management, and delivery oversight. Manage the AI project portfolio, business cases, roadmaps, risks, stakeholder alignment, and communication across business, technology, risk, legal, and architecture teams. Accelerate responsible scaling of AI solutions across markets while translating complex AI concepts into practical business value and supporting user adoption.

Owns full-cycle recruiting for commercial, operational, and technical roles across global markets. Responsibilities include sourcing passive candidates, building pipelines for hard-to-fill positions, advising hiring leaders, coordinating interviews and offers, maintaining accurate Greenhouse data, and improving hiring processes through systems thinking, data, AI, and automation.

Build and deploy real-time voice and video AI models, including speech-to-speech, multimodal, and audiovisual systems. Adapt and fine-tune pretrained models, develop evaluation and data pipelines, optimize GPU inference for latency and cost, and deliver production features across backend APIs, databases, and customer portals. Own projects end to end while using coding agents and development harnesses to improve implementation, testing, debugging, and review.

Designs and maintains scalable, secure, governed AI platform infrastructure for enterprise and banking environments. Responsibilities include developing Azure cloud-native solutions, AI service integrations, CI/CD pipelines, platform automation, AKS integrations, observability, reliability engineering, and infrastructure templates. The role supports AI developer teams, prototypes emerging technologies, and aligns architecture with security, privacy, compliance, regulatory, and data governance requirements.

Build and deploy reliable, measurable, and safe AI agents for real business workflows. Work within Marketing Engineering and growth pods to identify problems, develop end-to-end solutions, evaluate LLM performance, and measure business impact. The role involves productionizing agent systems beyond demos, using Python, SQL, LLM APIs, and orchestration tools, with potential integration into go-to-market data and marketing systems.

Conduct research, market sizing, forecasting, competitive analysis, and thought leadership on enterprise AI services. Develop actionable insights for technology providers and senior executives through published research, presentations, conferences, and client engagements. Assess market trends, demand drivers, customer behavior, and growth opportunities while advising clients, supporting sales, reviewing content, mentoring analysts, and improving research processes.

Leads end-to-end architecture for enterprise data, analytics, and AI solutions in a Microsoft-first environment. Translates business requirements into secure, scalable designs and guides prototyping, implementation, architecture reviews, troubleshooting, governance, and production readiness. Requires deep hands-on experience with Azure data platforms, Power BI, enterprise security, Azure OpenAI, and retrieval-augmented generation patterns.

Leads technical security assessments, cyber risk audits, vulnerability investigations, and architectural reviews across global businesses. Reports findings to CTOs and CISOs, translates technical risks into business recommendations, coordinates high-stakes security initiatives, and supports technical experts. The role also builds the global cybersecurity community, organizes events, participates in hackathons, and investigates emerging AI, ML, LLM, and agent security risks. Travel of up to 30% is required.

This internship supports AI-powered workflow automation and B2B performance marketing. Responsibilities include learning and optimizing paid social and Google Ads campaigns, translating business pain points into automation or AI solutions, improving workflows, experimenting with ideas, and helping shape AI usage within a fast-growing marketing agency.

Build and operate secure, scalable backend services for Toqan, Prosus’s internal AI platform. Responsibilities include developing agent runtimes, orchestrating LLMs and tools, implementing asynchronous workflows, improving reliability and observability, integrating services, making architectural decisions, and collaborating with product, platform, and AI teams. The role primarily uses Go and AWS and involves CI/CD, automated testing, production operations, and hands-on development of agentic AI capabilities.

Develops data analytics, data science, and AI solutions for internal audit, including pipelines, automations, APIs, machine-learning analyses, and reusable tools. Translates audit and risk questions into reliable, evidence-based insights; strengthens data governance and code quality; and trains auditors through coaching and bootcamps. The role also drives the internal audit data and AI roadmap, supports technology innovation, and collaborates internationally across Ayvens and Societe Generale.

Manage influencer campaigns end to end across multiple brands and markets. Responsibilities include creator casting, briefing, negotiation, contracting, campaign timelines, budgets, approvals, client communications, performance tracking, reporting, and optimization. The role requires using CPV and campaign KPIs to manage commercial outcomes, ensuring content meets brand and compliance requirements, and operating as a power user of Kyra’s platform and AI tools.

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.

Fine-tune and post-train open-weight LLMs using methods such as SFT, LoRA, QLoRA, DPO, and GRPO. Build training data and evaluations, diagnose model failures, improve personalization and multilingual behavior, accelerate reproducible training workflows, and deploy models to production. The role involves using real user behavior to guide iterations across a large-scale AI companionship platform, with collaboration across AI, product, web, DevOps, and leadership teams.

Six-month internship researching and developing an agentic AI system for software re-engineering. Responsibilities include analyzing autonomous AI agents, establishing a software baseline, designing a multi-agent migration architecture, building a reviewable proof of concept, and evaluating code quality, testing, autonomy, human intervention, and overall effort within an agile engineering team.

Lead the architecture and implementation of AI-native product engineering systems, including agent-ready code standards, context infrastructure, self-healing incident workflows, multi-step agentic features, and AI code-review optimization. Ship end-to-end product features, set technical direction, evaluate LLM reliability and trade-offs, and accelerate validated learning through close collaboration with engineering, product, and design teams.

Lead the architecture and implementation of AI-native product engineering systems, including agent-ready code standards, context infrastructure, self-healing incident workflows, multi-step agentic features, and AI code-review optimization. Ship production software, establish technical direction, and partner with product and design teams to accelerate validated learning. The role requires strong backend and distributed-systems expertise, hands-on LLM product experience, and practical use of AI coding tools.

Leads channel growth for HPE Networking’s AI-native Campus and Branch solutions. Drives partner activation, pipeline and revenue generation, opportunity development, competitive displacement, technical solution positioning, enablement, certifications, workshops, proof-of-concepts, and managed services adoption. Collaborates with partner managers, engineers, distributors, business units, and executive stakeholders to develop architectures, business cases, transformation roadmaps, and regional go-to-market strategies.

Drive HPE Networking channel growth by activating partners, generating pipeline, developing opportunities, positioning AI-native Campus and Branch solutions, and delivering technical enablement. The role provides partner guidance throughout sales cycles, supports workshops, certifications, demos, and proof-of-concepts, and collaborates with account managers, engineers, distributors, and regional teams to increase adoption, competitive wins, revenue, and software attach growth.

Build and improve LLM agents and custom machine learning models for web-based company data extraction and financial predictions. Create evaluation suites, monitor production pipelines, diagnose failures, retrain models, and optimize solutions for compute, memory, bandwidth, and model costs. The role requires strong Python and async programming, production ML experience, and rigorous model validation and evaluation practices.

Join Welo Data’s Swahili contributor network for potential remote AI projects involving text, image, or audio annotation; search, advertising, or chatbot evaluation; prompt creation; and cultural and linguistic accuracy review. Applicants must be native or near-native Swahili speakers based in Kenya, Tanzania, or the Democratic Republic of Congo, with English proficiency, digital-tool comfort, and strong attention to detail. Projects vary in duration and compensation, with details provided before participation.

Develop AI-driven products through hands-on software development and product engineering. Build minimum viable products, solve problems creatively, and help shape future AI applications. The role is available remotely or in Boston and Chicago, with contract options ranging from two weeks to three months or full-time, plus potential revenue sharing.

Owns new-logo acquisition across Netherlands-headquartered enterprises, from prospecting CIOs and technical leaders through MSA negotiation, vendor onboarding, first-project delivery, and account expansion. Builds territory plans, manages enterprise sales cycles and quotas, orchestrates technical and services teams, co-sells with OEM partners, maintains Salesforce pipeline accuracy, and develops executive relationships. The role requires fluent Dutch and English, enterprise technology sales expertise, and regular travel across the Netherlands and EMEA.

Leads toxicology and risk assessment for flavor ingredients and products across global markets. Evaluates safety profiles, designs testing strategies, supports regulatory approvals and customer inquiries, translates complex scientific data into recommendations, and improves workflows through digital tools and emerging technologies. Collaborates with R&D, regulatory, product stewardship, quality, commercial teams, regulators, customers, and industry organizations.

Leads the software engineering, applied ML, and technical product teams responsible for Protolabs’ enterprise pricing engine and supporting services. Owns the pricing capability roadmap, architecture, rules-based and model-driven decisioning systems, and production LLM capabilities. Oversees solution design, development, testing, governance, reliability, and continuous improvement while partnering with pricing analysts and service-line leaders. Hires, mentors, and develops a cross-functional technical team.