Top Artificial Intelligence Jobs in Amsterdam

Lead design and implement agentic AI systems: integrate services and models, optimize and fine-tune LLMs (LoRA/QLoRA), build datasets and evaluations, run experiments to improve reliability, cost, and latency for production workflows.

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.

Design and implement agentic AI system logic and reusable components. Integrate models, data sources, and services into scalable workflows. Prototype and iterate on agentic interaction patterns, tooling, and session/context handling. Support UI-facing clients and enable systems to take action through structured tools and APIs.

Contribute to a prototype that organizes market and sales inputs, apply AI/NLP to surface customer themes and market patterns, build prioritization frameworks, convert insights into clear recommendations, and collaborate with cross-functional teams to validate findings.

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.

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.

Lead product vision and roadmap for agentic AI solutions, own the backlog, translate business needs into user stories, partner with data scientists and engineers, manage Agile delivery cycles, ensure responsible AI practices, and monitor model performance and continuous improvement.

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, design and run experiments (A/B tests and AI evaluations), implement AI infrastructure for reliable LLM inference, and iterate quickly to scale production-ready LLM-powered products.

Lead in-house, cross-functional improvement initiatives across underwriting, claims and operations. Use structured problem-solving, process mapping, data analysis and pragmatic automation/AI to design, implement and measure scalable efficiency improvements and prepare business cases for senior management.

The Major Account Manager drives sales in a targeted list of Fortune 500 accounts, developing and executing account plans while maintaining relationships with stakeholders. Responsibilities include consultative selling of networking solutions and business planning to meet customer needs.

Join Celonis' Orbit graduate program as an AI Solution Consultant to prototype and deliver AI-driven Process Intelligence solutions. Work with customers to design proofs-of-value, build prototypes using LLM and data tooling, present business impact to executives, and ensure adoption and ROI while contributing best practices to the Value Engineering center.

Join Celonis' Orbit graduate program as an Applied AI Value Engineer to design and prototype AI-enabled Process Intelligence solutions, deliver proofs of value, present business impact to executives, ensure adoption and ROI, specialize by domain, and contribute reusable best practices while working with customers across the Benelux region.

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 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.

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.

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.

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.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

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.

Build and own the AI platform that enables fast, safe shipping: prototyping sandbox, CI/CD pipelines, automated tests and evals, agent runtime and orchestration, AI tooling, observability, and reliability. Drive platform standards, quality gates, and production-safe agent workflows so builders can ship rapidly and confidently.

Own end-to-end delivery of AI-powered automations: scope and shape client solutions, build demos and production systems (Python, FastAPI/Gradio, serverless), design prompts and data pipelines, validate outputs, and onboard clients while contributing patterns and R&D to the practice.

Advise AI-focused customers to design scalable AI solutions and manage large-scale GPU deployments. Deliver technical presentations, documentation, and webinars. Collaborate with engineering and product teams to prioritize and convey customer feedback.

As an AI Research Engineer, you will focus on model compression techniques to enhance performance of AI systems, ensuring efficient deployment on edge devices while maintaining accuracy.

Drive innovation in post-training methodologies for AI models, focusing on agentic behaviors, tool use, and enhancing model capabilities for real-world applications.