Top Artificial Intelligence Jobs in Amsterdam

Lead company-wide AI and automation adoption: run internal programs (hackathons, enablement, dogfooding), conduct AI market watch, produce guidance and content, evangelize successes, and manage and scale the Automation team while overseeing cross-functional delivery and OKRs.

The role involves evaluating AI outputs, generating content, and ensuring cultural relevance. Strong analytical skills and local insights are essential to ensure quality in AI training projects.

Assist in day-to-day network operations for data center and backbone environments, focusing on learning networking fundamentals and performing routine tasks under supervision.

Develop cloud-based integrations on Microsoft Azure, assist in creating API-based solutions, automate workflows, and contribute to CI/CD processes.

The Site Reliability Engineer will assist in SRE operations, execute defined tasks, and learn about networking, cloud infrastructure, and container management tools.

Conduct applied AI/ML research to solve home design challenges, work with raw data, test hypotheses, and build prototypes/MVP solutions.

The Applied Researcher will develop and deploy deep learning models focusing on NLP, collaborating with engineers and data scientists to integrate solutions into eBay's products.

As an AI Solution Architect, you'll drive the adoption and scaling of GenAI solutions, partner with sales, design projects, and guide clients in successful AI integration.

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.

The role involves researching and developing GPU acceleration techniques for AI workloads, optimizing complex algorithms, and collaborating with technical experts. Responsibilities include publishing findings and influencing next-gen architecture designs.

The Graphic Designer will craft digital marketing campaigns, collaborate with cross-functional teams, produce visual assets, and support brand enhancement across platforms.

Lead technical strategy and delivery of AI solutions, managing teams of Applied AI Engineers and directly coding critical project components.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

As a Senior Site Reliability Engineer, you will enhance the reliability and performance of our inference platform, leveraging Kubernetes and Terraform while ensuring smooth scalability of systems under load.

As a Senior AI/ML Engineer, you will design ML solutions, create datasets, architecture improvements for AI agents, and contribute to MLOps practices.

The role involves leading AI infrastructure research, providing strategic guidance to clients, developing insights, and mentoring junior analysts while addressing complex AI-related challenges in enterprise computing.

The Principal AI and Data Architect leads technical design in AI and data architectures, collaborates with CxOs, and develops solutions that enhance customer experiences using Salesforce D360 and Agentforce.

The intern will research market trends in AI and cloud, analyze product specs, support sales initiatives, and assist in developing demand-generation campaigns.

Lead legal initiatives for data privacy and AI compliance in Europe; develop policies, provide legal guidance, manage risks, and ensure regulatory compliance.

This inside sales role focuses on driving Data Center and Routing networking opportunities within lower-tier technology accounts, using virtual engagement methods and sales methodologies like MEDDPICC. Specialist will build relationships and collaborate with various teams to close sales.

Design and optimize multi-petabyte storage systems for AI workloads, including high-performance filesystems and Kubernetes-native storage solutions, while ensuring cost efficiency and performance at scale.

The Solution Director leads client engagement in Data & AI, shaping solutions, driving growth, and fostering strategic partnerships while acting as a trusted advisor to C-suite stakeholders.

The Applied AI Engineer will onboard clients on Mistral AI products, manage complex integrations, and drive technological transformations through collaboration with stakeholders.

Lead AI practice research and thought leadership to help enterprises scale AI for business value. Produce insights, advise executives, present at events, support sales, and collaborate on market analysis and content.

The AI Go-to-Market Engineer will deploy and optimize AI agents across Flosum's revenue operations, enhance productivity and sales processes, and create AI-driven systems for customer engagement and competitive analysis.