Top Artificial Intelligence Jobs in Amsterdam

Advises customers on ServiceNow platform architecture, governance, integrations, instance health, technical debt, and digital transformation roadmaps. Translates business and technical requirements into scalable architectural blueprints, collaborates with enterprise architects and delivery teams, supports solution sales and estimation, and guides customers, partners, and internal teams across complex engagements.

Individual contributor responsible for managing ServiceNow’s strategic Wipro partnership, including joint business planning, go-to-market execution, pipeline development, co-selling, partner enablement, governance, and performance tracking. The role collaborates with sales, product, marketing, enablement, technical advisors, and customer success teams to expand revenue, activate partner teams, pursue new logos, and drive AI-enabled, scalable execution.

Leads regional enterprise sales growth by building and managing a team of Sales Executives, developing go-to-market strategy, setting territories and quotas, forecasting pipeline, and achieving revenue goals. The role requires recruiting, coaching, customer and C-level engagement, partner development, cross-functional collaboration, and retention of existing accounts. Candidates should have extensive enterprise sales leadership experience, strong financial and strategic acumen, CRM forecasting expertise, AI awareness, and knowledge of the retail sector.

Leads the Customer Support technology team responsible for Salesforce Service Cloud, telephony, messaging, workforce management, quality assurance, and AI integrations. Owns the support technology strategy and roadmap, guides architecture and integrations, manages releases and delivery practices, develops technical staff, partners with global stakeholders, and establishes KPIs for continuous improvement.

Lead rapid AI-assisted prototyping for automotive navigation and location-based applications. Build and publish usable mobile apps, validate concepts with users and partners, establish vibe-coding practices, evaluate AI tools, coach engineering and product teams, and advise leadership on AI-driven product development. The role combines software engineering, product thinking, user experience, technical leadership, and responsible use of AI tools.

Supports clients across industries with AI and data strategy, operating model design, investment and value cases, and AI product roadmaps. The role involves analyzing business opportunities, advising on artificial intelligence and machine learning applications, presenting insights, building client relationships, and contributing to innovation and internal initiatives. Candidates should have a relevant master’s degree, strong analytical and communication skills, and fluency in Dutch and English.

Leads CAE’s enterprise Safety and Quality Intelligence capability by standardizing analytics, data governance, KPIs, taxonomies, dashboards, and reporting. Partners with governance, operations, manufacturing, and business-unit leaders to develop an intelligence platform incorporating predictive analytics, automation, and AI. Establishes executive risk and performance insights, influences global stakeholders, and leads a team of analytics professionals.

Develop and improve FP&A analytics, management information, budgeting, forecasting, financial models, capital planning, and liquidity analytics. Apply Power BI, data analytics, AI, and automation to strengthen reporting, data quality, governance, controls, and decision-making. Collaborate with Finance, Treasury, Risk, Technology, and business teams across Europe to deliver scalable finance transformation and strategic insights.

As a Senior AI Research Engineer, you will drive Adyen's AI strategy, build production-grade applications, optimize AI interactions in finance, mentor teams, and engage with the AI community.

Own Moss’s pricing and deal desk, approving non-standard pricing, discounts, and commercial terms while maintaining governance and deal velocity. Analyze discount discipline, price realization, deal structure, and win rates; develop segment-specific pricing guidance; coach sales representatives; and partner with Customer Success. The role also improves an AI-powered deal desk agent by reviewing its recommendations, correcting errors, and converting recurring exceptions into scalable rules and playbooks.

Support AI and digital marketing transformation initiatives through pilot coordination, user adoption tracking, change management, training content, knowledge management, and data analysis. Create dashboards, reports, communications, and enablement materials while gathering feedback and identifying improvements to digital platforms and AI-powered marketing capabilities. Collaborate with global marketing, consumer insights, and digital innovation teams.

Design, deploy, and optimize agentic AI workflows for enterprise customers. Lead technical implementations from scoping through adoption, integrating APIs, data sources, and business systems. Serve as the primary technical customer partner, coordinate internal engineering and product teams, define requirements and success metrics, and manage delivery roadmaps. Build reliable prompts, evaluations, orchestration, and human-in-the-loop safeguards while monitoring production accuracy, cost, and latency.

Lead the AI Quality engineering team while remaining hands-on building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Run experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering and manage technical direction and team priorities.

Build and ship AI-native product capabilities, including models, tools, retrieval, and evaluation. Lead technical delivery for product areas, design and review code, partner with product owners, support CI/CD and production readiness, instrument features, improve shared engineering patterns, and mentor AI Product Engineers. The role requires strong software engineering fundamentals, production systems experience, and hands-on AI/ML or generative AI integration.

Lead large-scale HR and HCM cloud transformation programs, advising clients on HR process redesign, operating models, technology selection, Oracle HCM Cloud, AI-enabled HR solutions, and workforce transformation. Facilitate workshops, develop roadmaps and proposals, manage stakeholders and vendors, support practice development, and lead consulting teams across complex multinational implementations.

Conduct quantitative research on financial markets by discovering predictive patterns, developing statistical and machine learning models, running large-scale simulations and backtests, and translating research into production-ready trading signals. Interns collaborate with researchers and technologists, build research infrastructure and AI-powered agents, and complete rigorous projects from hypothesis through evaluation under realistic market conditions.

Conduct quantitative research on market behavior and trading strategies. Responsibilities include discovering predictive patterns, designing statistical and machine-learning models, building AI research agents, developing large-scale research infrastructure, running experiments and backtests, and translating findings into production-ready trading signals. Interns complete an end-to-end research project while collaborating with researchers and technologists.

A 24-month rotational graduate program across publishing operations, product and digital innovation, and commercial customer insight. Participants lead process improvement, support AI-enabled workflows, analyze user journeys and market trends, evaluate performance data, and develop growth recommendations. The role is based in Amsterdam with at least two office days per week and may lead to a permanent position after completion.

Enterprise Account Executive role focused on building new business across EMEA. Responsibilities include developing territory sales strategies, acquiring enterprise customers, exceeding new-logo quotas, managing complex consultative sales cycles, engaging C-level decision-makers, negotiating contracts, partnering with marketing and pre-sales, and developing partner go-to-market strategies. The role requires enterprise SaaS sales experience, technical platform selling expertise, and proficiency with Salesforce, Clari, and MEDDPICC.

Seeking a Europe-based technical co-founder to identify customer problems, evaluate data-driven opportunities, build products, and pursue product-market fit. The role requires hands-on software development, customer discovery, product decision-making, infrastructure, security, data quality, permissions, reliability, deployment support, and rapid iteration. Work begins part-time alongside current activities, combines remote work with regular sessions in the Netherlands, and is compensated initially through milestone-based equity.

Leads Azure and artificial intelligence sales strategy for complex global enterprise accounts. Engages senior executives, identifies opportunities, aligns cloud solutions with business priorities, orchestrates internal and partner teams, manages pipeline forecasting, and drives secure digital transformation and customer adoption across industrial manufacturing and communications organizations.

Own the vision, roadmap, commercialization, and executive strategy for Kaltura’s AI-powered learning and enablement platform. Lead 0-to-1 MVP delivery and post-MVP expansion across AI course generation, conversational tutoring, personalized learning, simulations, and enterprise foundations. Integrate acquired products and agentic AI capabilities while partnering with engineering and GTM teams on architecture, pricing, packaging, positioning, and enterprise sales. The role requires deep B2B SaaS product leadership, enterprise learning platform experience, production AI/ML delivery, and strong technical and commercial judgment.

Lead Adyen’s global in-person payments product strategy, overseeing hardware, software, payments, loyalty, and AI/ML initiatives. Build and scale a world-class product organization, align engineering and cross-functional partners, define measurable roadmaps, and engage strategic enterprise customers. The role requires executive-level product leadership, deep technical fluency, hardware-software experience, payments expertise, and experience delivering AI-powered products. It is based in Amsterdam and is office-first.

Build scalable software, data pipelines, and AI solutions for vegetable R&D analytics. Integrate scientific data, models, and workflows into intuitive applications; deploy and monitor production systems in cloud environments; collaborate with scientists and analytics teams; and evaluate agentic AI and automation responsibly. Ensure solutions are explainable, reliable, scientifically valid, and compliant with governance and security standards.

Own the strategy, roadmap, and measurable outcomes for Catawiki’s search, ranking, recommendations, and personalization products. Lead cross-functional initiatives from discovery through experimentation and scale, using customer research, behavioral data, AI, machine learning, and A/B testing to improve relevance, engagement, and buyer conversion. Partner with engineering, design, data science, marketing, and commercial teams while communicating strategy and results to senior stakeholders.