Top Artificial Intelligence Jobs in the Netherlands

Lead product and operations for Fin.ai to drive autonomous, auditable resolution of merchant support queries. Own roadmap, quality metrics (resolution rate, CSAT), team of AI support specialists, cross-functional integration with Engineering/Data, and compliance controls for payments regulations.

Lead the initiation, planning, and implementation of complex programs. Build roadmaps, manage project managers, track objectives, benefits, costs, risks, and dependencies, and report progress to business leadership. The role also oversees core team effectiveness and supports clients with ERP, data, and AI-related transformation initiatives.

Design and maintain scalable data pipelines, connectors, and reusable data products to make enterprise data AI-ready. Enable RAG, semantic search, agentic workflows, and production deployment of AI solutions while enforcing data quality, governance, metadata, security, and cross-team collaboration.

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.

Own success for a portfolio of strategic enterprise customers by driving AI adoption, developing AI Success Plans, measuring ROI, managing customer health, engaging executives, identifying expansion use cases, leading cross-functional recovery plans, mentoring peers, and providing product feedback to improve value realization and Autonomous IT maturity.

Lead workshops, architect and design Workday Extend applications, deliver requirements and design to developers, manage and guide Extend consultants, liaise with clients and Workday, and support pre-sales and AI-enabled solutioning.

Lead research and advisory on application security for enterprise applications (ERP/CRM). Produce thought leadership, client-facing insights, presentations, market analysis, and support sales. Mentor analysts, drive research agenda, improve processes, and advise CIOs on security strategy, vendor evaluation, metrics, and vulnerability testing across major vendors (SAP, Salesforce, Workday, Oracle).

Lead national digital and offline advocacy campaigns in the Netherlands: research issues, craft persuasive emails and petitions, translate/adapt communications, coordinate offline actions and media, build coalitions, manage campaign staff, use AI tools for content, and monitor campaign performance.

Build and own cloud data infrastructure and ETL pipelines on major cloud platforms. Collect, transform, and serve large-scale data; create reusable integrations and orchestration for multi-use cases while working in Agile teams.

The AI Lead is responsible for managing AI teams, driving AI project strategies, and ensuring deployment efficiency in telecommunications. They will oversee AI R&D, mentor team members, and collaborate across teams to align AI solutions with business goals.

Own and close enterprise cloud, AI, data, and infrastructure modernization opportunities. Advise manufacturing customers on transformation strategies, manage sales and consumption pipelines, improve forecast accuracy, identify growth opportunities, and build relationships with business, IT, partner, and internal stakeholders. Lead complex consultative sales engagements, coordinate matrixed teams, drive co-sell motions, and expand customer adoption and long-term business value.

Leads customer workshops and AI transformation engagements for manufacturing organizations. Advises executive stakeholders on AI, data, cloud, and digital strategy; designs secure enterprise architectures; develops prototypes and demonstrations; and partners with sales and engineering teams to connect innovation opportunities with measurable business outcomes.

Design and develop enterprise Java applications using Spring Boot, microservices, cloud platforms, and modern software architecture. Drive AI-augmented software delivery, build LLM- and agent-based solutions using RAG, and implement API-first, spec-driven development. Collaborate with architects, AI specialists, consultants, and clients while mentoring engineering teams and establishing AI-native engineering practices. Experience with AI governance, vector databases, MCP, and internal developer platforms is advantageous.

Lead the architecture and production development of Picnic’s agentic grocery-shopping assistant. Build multi-turn conversational AI systems using open-weight LLMs, RAG, fine-tuning, context management, and orchestration. Establish evaluation, monitoring, safety, reliability, fallback, and cost-efficiency patterns while mentoring engineers and guiding technical strategy across teams.

Join Welo Data’s Canadian French contributor network for potential remote AI projects. Depending on project needs, contributors may annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create prompts for large language models; and assess cultural and linguistic accuracy. Projects vary from several days to weeks, with compensation and details provided before each assignment.

Join Welo Data’s French AI Trainers Network as a flexible contributor supporting annotation, evaluation, and prompt creation projects. Contributors may label text, images, or audio; assess search results, advertisements, and chatbot responses; create prompts for large language models; and ensure cultural and linguistic accuracy. This is a talent community rather than an active opening, with project details and compensation provided when assignments become available.

Design, build, and maintain production-ready AI applications, APIs, services, and reusable components. Translate business needs into practical AI solutions involving generative AI, LLMs, RAG, document intelligence, and agentic systems. Apply CI/CD, testing, deployment, monitoring, logging, documentation, and secure development practices. Collaborate with data scientists, engineers, platform teams, product owners, and business stakeholders while contributing to AI standards and responsible adoption.

Lead and deliver petrophysics, seismic petrophysics and rock physics consulting projects and training. Develop best-practice workflows, support sales with technical proposals, publish and present technical work, and build customer relationships to grow consulting services and software adoption.

Own product development for Paper.io 2, focusing on free-to-play progression, monetization, live events, in-game economies, and AI-powered player experiences. Define specifications, timelines, and priorities while collaborating with developers, artists, and analysts. Use player data, retention metrics, and A/B testing to optimize features after launch. Monitor competitors and industry trends, make strategic trade-offs, and deliver high-quality improvements under tight deadlines.

Lead strategic AI and experience orchestration engagements with account teams to accelerate adoption of Genesys AI capabilities. Shape AI use cases, lead workshops, influence deal strategy, support proposals/pricing, and drive sales enablement and field execution across the AI portfolio to deliver measurable customer outcomes.

Build Python-based backend services, APIs, and integrations that embed AI capabilities into a SaaS platform. Develop scalable customer-facing features, connect AI outputs to workflows and dashboards, collaborate with product, design, and platform teams, and implement observability, monitoring, and error handling. Contribute to the AI integration stack, including SDKs, MCP servers, and LLM orchestration.

Build production AI agents and integrations for Customer Success, Sales, and Operations. Translate manual workflows into high-value automations, connect LLMs with internal databases and SaaS tools, implement human approval gates and guardrails, manage reliable asynchronous integrations, and evaluate agent accuracy, hallucinations, latency, and cost. The role requires strong Python or TypeScript skills, Claude expertise, agent tool design knowledge, SaaS API experience, and effective collaboration with nontechnical teams.

Lead a company-wide transformation embedding AI and agentic workflows into Product and UX. Define the vision and roadmap, design and pilot AI-enabled product lifecycle practices, create scalable playbooks and governance, assess tools, coordinate cross-functional workstreams, measure adoption and impact, and align Product, UX, Engineering, and leadership. The role requires hands-on generative AI experience, strong product judgment, technical fluency, program execution, stakeholder management, and the ability to influence teams through ambiguity.

Own technical outcomes for public-sector customers by designing, building, and deploying AI applications and agents on Azure. Lead architecture workshops, demos, prototypes, proofs of concept, and pilots; advise customers on business value, security, risk, and operations; collaborate with account teams, partners, and customer success; scale reusable solution patterns; and mentor others while continuously developing expertise in generative AI and cloud technologies.

Develop automation and AI solutions supporting pharmaceutical clinical trials. Interpret requirements, identify workflow improvements, build proof-of-concept tools using R, Shiny, and LLM-supported coding, and mature successful prototypes into validated, documented, reusable solutions. Collaborate with statisticians, programmers, data scientists, and AI leads while ensuring testing, traceability, audit trails, version control, and compliance with regulated clinical development expectations.