Top Artificial Intelligence Jobs in the Netherlands

Architects and delivers enterprise AI, machine learning, generative AI, RAG, and agentic systems. Designs secure end-to-end architectures, integrates Claude and other models with ServiceNow, APIs, databases, cloud platforms, and workflows, and leads discovery, proofs of concept, and client delivery. Develops ML and NLP solutions, data pipelines, dashboards, evaluation frameworks, observability, governance, and responsible AI controls. Collaborates with stakeholders, engineers, consultants, and clients to operationalize reliable AI applications.

Deploys and scales secure, production-ready AI workflows for enterprise customers. Builds Claude-powered applications, RAG systems, agentic workflows, integrations, prototypes, and automation across ServiceNow and enterprise platforms. Partners with technical and business stakeholders, evaluates AI quality and safety, implements responsible AI controls, troubleshoots deployments, and contributes reusable components to NewRocket’s AI platforms and accelerators. The role is customer-facing, full-stack, and requires approximately 25% travel.

Leads architecture for AI-powered customer-facing software and AI-ready data platforms. Responsibilities include modernizing data estates, defining lakehouse and data mesh patterns, establishing MLOps and LLMOps standards, operationalizing models, and embedding security, privacy, governance, and responsible AI controls. The role also provides technical leadership, mentors engineering teams, and communicates architecture decisions across product, engineering, security, legal, and business stakeholders.

Build, deploy, and own production-grade AI systems including LLM applications, RAG, agents, and tool-calling workflows. Implement evaluations, observability, tracing, guardrails, and prompt controls while managing cost, latency, and reliability. Collaborate within architectural guidelines, resolve production issues independently, and translate AI capabilities into measurable client value. Strong Python, modern AI stack expertise, production LLM experience, business communication skills, and English fluency are required.

Lead enterprise Agentforce architecture and hands-on agentic AI engineering for European clients. Design agent workflows, configure Salesforce agents, integrate deterministic Apex and Flow logic, implement LLM orchestration, RAG, APIs, MuleSoft pipelines, security guardrails, and automated testing. Conduct technical discovery, advise enterprise stakeholders, and guide engineering teams through production deployments. This is a fractional, project-based advisory role requiring deep Salesforce architecture and advanced LLM engineering expertise.

Designs and maintains enterprise AI governance frameworks, controls, and lifecycle processes across Azure AI platforms. Builds platform engineering tools, automation, dashboards, and DevSecOps integrations for secure, compliant AI/ML delivery. Performs vulnerability management and risk assessment addressing AI-specific threats such as data leakage, model extraction, and prompt injection. Collaborates with cloud, security, data, compliance, and business teams to improve governance maturity and deliver scalable AI platforms.

Build and operate AI-powered products spanning multi-agent orchestration, LLM integrations, real-time voice pipelines, WebRTC transport, MCP services, browser automation, and embedded web interfaces. Develop Node.js and TypeScript backends with React or Svelte frontends, optimize latency, cost, and reliability, implement observability and security controls, and support experimentation through online A/B testing.

Lead Nuitee’s agentic AI strategy and capabilities for searching, booking, paying for, modifying, and canceling hotel stays. The role combines hands-on software engineering, product development, technical leadership, commercial opportunity identification, and team building. Reporting to the CEO, this leader will design secure agent-native APIs and MCP tools, improve transaction reliability, and take new products from concept to production across Nuitee’s travel infrastructure.

Build a model enablement platform for heterogeneous AI computing across AIPUs, CPUs, GPUs, NPUs, and other accelerators. Responsibilities include model ingestion, graph partitioning, compilation, runtime execution, performance profiling, memory and scheduling optimization, large-model offloading, and verification integrated into CI. The role combines architecture ownership with hands-on C++ and Python engineering across model frontends, compilers, runtimes, and application pipelines.

Leads EMEA AI, paid media, digital marketing, website, virtual event, email, and nurture strategies. Manages four direct reports, agencies, budgets, forecasting, campaign planning, AI marketing adoption, localized digital experiences, GEO initiatives, and performance optimization. Partners with global and regional stakeholders to improve engagement, conversion, pipeline contribution, and customer lifecycle outcomes.

Lead a new AI engineering team by owning delivery, roadmaps, use-case prioritization, hiring, team development, performance management, and stakeholder communication. Identify business opportunities for AI, guide solutions from concept to production, manage risks and dependencies, and partner with Engineering, Trading, Quant, technical leads, and staff engineers to deliver measurable outcomes.

Lead AI Value Analyst responsible for building and maintaining business cases for AI initiatives, estimating and tracking benefits, and reporting ROI. Partners with stakeholders, Finance, and AI CoE to quantify productivity, cost, revenue, and risk impacts, prioritize opportunities, validate data and assumptions, and produce dashboards and presentations to communicate realized value and governance across the AI portfolio.

Lead the AI architecture for Productboard Insights, designing agent-native systems, context infrastructure, self-healing workflows, evaluation processes, and AI code-review optimization. Own technical direction across Insights, Spark, and platform teams; drive features from concept through beta; optimize quality, latency, cost, and reliability; write production code; and develop engineers through documentation and reviews.

Build and own AI models, data pipelines, evaluation suites, and AI product features for construction procurement software. Develop document extraction and workflow automation using generative AI, LLMs, RAG, and optimization algorithms. Design complex data models, integrations, backend services, and production systems using Go, GraphQL, PostgreSQL, and AWS.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

Communications Interns support client teams with media strategies, press materials, research, content creation, social and digital campaigns, product launches, influencer campaigns, and events. They monitor news and cultural trends, contribute creative ideas, and experiment with AI tools for research, media analysis, content creation, and campaign planning. The role develops writing, strategic thinking, presentation, and communications skills while working on integrated campaigns for major brands.

Six-month internship focused on scaling Value Engineering with intelligent agents. Responsibilities include identifying and prioritizing AI opportunities, assessing feasibility and risks, developing governance frameworks, defining human-agent responsibilities, modeling processes, conducting business analysis, and creating an implementation roadmap in collaboration with stakeholders.

Six-month Talent Management internship supporting employee engagement, performance management, talent reviews, succession planning, development initiatives, communications, data analysis, and project coordination. The intern will collaborate with global HR teams and cross-functional project groups while gaining experience in international talent processes. The role requires strong communication, organization, data presentation, Microsoft Office proficiency, and enrollment in the Dutch education system while residing in the Netherlands.

Leads sales excellence and continuous improvement projects, analyzing processes and metrics to improve efficiency, revenue growth, and commercial effectiveness. Implements change management initiatives, collaborates with marketing, operations, and IT to deploy sales tools and methodologies, and monitors post-implementation performance. Translates complex data into actionable sales strategies while aligning stakeholders and ensuring projects are delivered on time, within scope, and against strategic objectives.

Advises Microsoft partners on Azure and AI architecture, solution design, licensing, pricing, monetization, and commercial strategy. Supports AI implementations involving Azure OpenAI, AI Foundry, AI Search, Copilot Studio, RAG, and AI agents. Leads technical workshops, partner enablement, and strategic stakeholder discussions while translating emerging technologies into scalable business opportunities and services.

AI Operations Interns identify operational challenges, validate AI and automation opportunities, translate business requirements into use cases, and design, build, deploy, and improve solutions using Microsoft Copilot Studio and Power Automate. The role involves stakeholder workshops, cross-functional collaboration, initiative ownership from ideation through adoption, and measuring business outcomes. Candidates should be entrepreneurial, hands-on, communicative, fluent in Dutch and English, and interested in AI-driven process improvement.

Support a marketing project exploring AI, automation, and content creation. Analyze marketing processes, evaluate AI tools and agents, develop practical workflow recommendations, and create content from cybersecurity expertise for blogs, social media, webinars, videos, and campaigns. The intern will produce an AI Marketing Blueprint, contribute to marketing operations, and collaborate with cybersecurity experts while receiving mentoring and professional development.

The AI Engineer will build data pipelines and improve ML systems for reliability in production. Responsibilities include schema design, data infrastructure, and model evaluation, ensuring high-quality outputs and integration with product workflows.

Designs and maintains scalable, secure, governable AI platform infrastructure for a banking client. Responsibilities include developing Azure cloud-native solutions, CI/CD pipelines, platform automation, AI service integrations, infrastructure templates, observability, and reliability capabilities. The role supports AI developer teams and aligns platform architecture with security, regulatory, privacy, and data governance requirements.

Lead the claims team while personally handling complex and disputed non-life claims from first notice of loss through settlement or denial. Make coverage, reserve, payment, recovery, and fraud decisions; coach handlers; manage complaints and third parties; monitor performance; and improve processes. Drive responsible AI adoption for claims automation, ensuring compliance with delegated authority, carrier requirements, GDPR, and applicable regulations. Feed claims insights into products, reporting, audits, and policy improvements.