Top Artificial Intelligence Jobs in Amsterdam

Design, build, deploy, and refine AI solutions across the full lifecycle. Develop knowledge graphs, ontologies, governance and lineage frameworks, RAG pipelines, prompt and context engineering practices, and agentic AI orchestration systems. Translate business challenges into AI workflows, evaluate emerging AI technologies, document reusable standards, and collaborate with data teams and business stakeholders.

Lead field-facing AI security strategy for enterprise customers: design secure LLM/RAG architectures, deliver demos/POVs, advise on data protection and governance, and scale enablement across sales and product teams.

Architect and build the AI layer for Neo4j’s Hume Maestro platform. Responsibilities include setting the AI technical roadmap, contributing hands-on to production code, designing scalable AI architectures, establishing model evaluation and deployment practices, integrating AI with front-end and platform systems, and collaborating with Product and Science stakeholders. The role may eventually evolve into leading and mentoring a dedicated AI engineering team.

Lead global marketing and corporate communications to define Multiverse's narrative, positioning, and GTM for AI/quantum products. Partner with the CEO, build and scale the marketing & communications team, own product messaging, PR, executive positioning, agency relationships, and measure impact on awareness and enterprise pipeline.

Own partnership sourcing, negotiation, and deal execution to drive adoption of Walrus across AI and Web3 ecosystems. Build relationships with AI builders, data vendors, compute networks, and web3 partners; lead contract negotiations; and manage cross-functional integration from signing through execution.

Owns commercial success, revenue, and strategic relationships for embedded HR technology partners. Responsibilities include managing a $10M+ annual bookings target, developing partner sales motions, enabling partner sellers, driving pipeline and ARR growth, resolving commercial issues, leading executive business reviews, expanding partnerships, coordinating cross-functional teams, and managing partner account managers and embedded sales leads.

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.

Design, build, and ship AI-powered product features from prototype through production. Own architecture, model selection, integrations, evaluation, reliability, cost, and latency. Work across frontend, backend, and infrastructure while establishing reusable AI development practices. Collaborate with engineering and product teams to define requirements, identify risks, and deliver maintainable, monitored, production-ready systems using LLMs, embeddings, RAG, vector databases, and multiple providers.

Lead the company’s Physical AI research and engineering function as a hands-on technical leader. Define research priorities, design and train Transformer-based models, establish rigorous offline and real-world evaluations, integrate systems with physical robots, and analyze failures across data, models, hardware, and environments. Build a focused team, guide technical architecture and experiments, translate customer needs into requirements, and deliver measurable improvements through deployed models, benchmarks, evaluation systems, or data products.

Create narrative-driven, long-form AI cinematic videos from concept through final delivery. Responsibilities include scripting, prompting, AI video generation, editing, compositing, motion graphics, color correction, and maintaining character and scene consistency. The role requires experimentation with emerging AI models, independent workflow ownership, and collaboration with creative leadership. Content may include explicit adult visuals.

Create narrative-driven, long-form cinematic videos using AI-first workflows, from scripting and prompting through generation, editing, compositing, motion graphics, color correction, and final delivery. Maintain character and scene consistency across sequences, experiment with emerging AI video models, refine production workflows, and independently execute creative direction. The role includes stylized and explicit adult content and requires strong storytelling, technical judgment, rapid iteration, and collaboration.

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.

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.

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.

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.

Build Solidgate’s new ML/AI function, developing production machine learning models, recommendation systems, and real-time transaction-routing decision systems. Own experimentation from ideation through A/B testing and deployment, engineer features from high-cardinality transactional data, integrate emerging AI technologies, and collaborate with Product, Engineering, and Data Platform teams on training and analytics pipelines.

Owns planning, activation, optimization, testing, budgeting, and reporting for paid campaigns across TikTok, Meta, and YouTube. Manages $1M+ budgets, presents data-driven recommendations to clients, tracks platform changes, and partners with strategy and creative teams. The role also mentors a Paid Media Executive and establishes team standards for campaign QA, reporting, naming conventions, and optimization practices.

Own the AI cost visibility product end to end, developing Go backend services, APIs, data processing, and TypeScript/React interfaces. Translate AI spending data into clear FinOps experiences, work closely with customers and product needs, and use AI throughout the engineering workflow. Lead feature design, implementation, release, monitoring, and iteration while setting engineering standards, mentoring peers, and building scalable cloud-based SaaS capabilities.

Own the AI cost visibility product end-to-end, building Go backend services, APIs, and TypeScript/React interfaces. Translate cloud AI spend and usage data into clear FinOps experiences, while driving architecture, reliability, monitoring, and iteration. Collaborate closely with customers and product stakeholders, use AI throughout the engineering workflow, mentor peers, and shape product direction in an ambiguous market.

Own the AI cost visibility product end-to-end, building Go backend services, APIs, data processing systems, and TypeScript/React interfaces. Partner with customers and product stakeholders to model AI spend, usage, and FinOps workflows. Deliver reliable, scalable features from discovery through monitoring and iteration, use AI throughout the engineering workflow, contribute to architecture and design reviews, and mentor teammates.

Own AI cost visibility features end-to-end, from customer problem discovery and system design through implementation, release, monitoring, and iteration. Build scalable Go backend services, APIs, and TypeScript/React interfaces that process and present cloud AI spend data. Apply AI throughout the engineering workflow, contribute to product direction, understand FinOps and AI economics, mentor peers, and uphold reliable engineering practices.

Lead architecture and delivery of perception and spatial AI models from cloud training to deployment on automotive-grade SoCs. Define deployment-first architectures, convert state-of-the-art research into production pipelines, set evaluation and hardware-aware validation standards, partner across research/product/customers, remain hands-on prototyping and debugging, and hire and mentor a high-performing engineering team.

Leads large, complex AI-enabled business process projects under formal Statements of Work, ensuring delivery on time, within budget, and aligned with customer outcomes. Manages stakeholders, risks, scope, communications, governance, conflict resolution, and responsible AI considerations. Coordinates architects, consultants, partners, and specialists across technical and business disciplines. Supports executive relationships, business development, and add-on opportunities while delivering ERP, CRM, automation, and AI transformations using Microsoft platforms and comparable enterprise technologies.

Build, operate, and improve production services that deliver machine learning models within exocad’s AI Design product. Responsibilities include model serving APIs, containerized deployments, versioning, staged rollouts, rollback automation, infrastructure provisioning with Terraform and AWS, monitoring, observability, and performance tuning. The role also contributes to training and labeling infrastructure and requires collaboration across engineering, product, and global teams, including work across AWS global and China environments.

Work on strategic digital transactions projects (payments, identity, open banking). Perform analyses, stakeholder interviews, translate technical/commercial insights into roadmaps and specifications, support proposals and proposition development, and contribute to client-facing delivery within small cross-functional teams.