Top Artificial Intelligence Jobs in Amsterdam

As a Chatdesk Expert, you will provide customer support via social media and email, representing brands and resolving customer inquiries professionally.

Lead the AI engineering team to develop and implement AI solutions, mentoring staff, collaborating with business units, and promoting AI adoption.

Design, build, and scale intelligent systems using AI/ML across various domains including LLMs, Computer Vision and Speech AI, integrating these into business workflows.

Drive development of AI/ML-powered features, integrate with ecosystems, build APIs and UIs, and enhance developer experience at ClickHouse.

The ML/AI Engineer will benchmark GPU platforms for AI workloads, analyze GPU performance, optimize ML workloads, and develop performance visualization tools.

As Product Manager for AI Support Experience, you'll enhance AI support, improve user journeys, and collaborate with engineering and data science teams to boost customer satisfaction and reduce manual support contacts.

As Senior Legal Counsel, you'll provide strategic legal input for product development, focusing on AI governance, compliance, and healthcare regulations while collaborating across functions to bridge legal and product requirements.

Develop and implement AI-powered features, analyze data for optimization, collaborate cross-functionally, and quickly prototype solutions as a full-stack engineer.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

Lead AI initiatives for Data Intelligence product, managing the product lifecycle and collaborating across teams to deliver AI solutions.

As an AI Engineer in the FDE team, you'll develop GenAI solutions, manage production rollouts, advise customers, and collaborate cross-functionally. Expertise in building and deploying AI applications is essential.

Lead product development in the industrial sector focusing on IoT, edge computing, and AI applications. Oversee product lifecycle, conduct market research, and collaborate with cross-functional teams.

This role involves architecting and building AI agent systems, developing full-stack features, and shaping the technical direction of an early-stage startup's AI platform.

The Marketing Innovation Director will lead AI-driven marketing strategies, pilot new tools, evaluate ROI, and enable cross-functional collaboration to enhance marketing efficiency and effectiveness.

The Senior AI Product Manager will define product vision, lead cross-functional teams, manage product lifecycle, and ensure market delivery, focusing on AI solutions in the B2B SaaS sector.

The AI Data Specialist role involves data collection, evaluation, and annotation tasks to enhance AI-generated content in Dutch.

As a Senior Software Engineer at Nebius, you'll design and develop a large-scale LLM training platform, maintain ML infrastructure, and improve job scheduling strategies.

The AI Product Manager will lead cross-functional teams in defining product strategies, managing releases, and ensuring customer satisfaction in a B2B SaaS environment.

Design, prototype, and deliver ML and LLM solutions, working closely with the Python Platform team to productionize AI workflows.

As an AI Email Marketing Specialist, you will execute and automate email campaigns, manage segmentation and A/B testing, and implement AI tools for marketing efficiency.

The Senior Product Manager will lead AI-driven initiatives, manage product roadmaps, and drive innovation in digital asset management, focusing on customer needs and market differentiation.

Develop and optimize low-level kernels for AI inference, improve inference engines, debug performance issues, and collaborate across teams.

As Tech Lead, you will manage a team, optimize AI models, and lead work on moderation systems for a high-scale conversational AI platform.

WunderGraph seeks a Staff FullStack AI Engineer to lead architecture for AI-driven projects, mentoring engineers and ensuring scalable, secure systems. Responsibilities include backend and frontend development with a focus on AI workflows and enterprise readiness.

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.