Top Artificial Intelligence Jobs in Czechia

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

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.

Lead AI architecture and implementation for financial services clients: support business development, enable and manage engineering teams, design scalable LLM/multi-agent systems, ensure AI safety, compliance, and monitoring, and translate business needs into technical specifications.

Lead AI transformation strategies for clients, conduct workshops, develop AI solutions, enhance internal AI literacy, advise on organizational change, and build partnerships in the AI ecosystem.

As an AI Engineer, you'll lead the design and optimization of Generative AI systems, focusing on complex workflows, model performance, and collaboration with teams to implement scalable AI solutions.

The AI Expert will lead the development of scalable AI architectures and solutions, mentor staff, and engage with cross-functional teams to drive innovative packaging design.

As a Senior AI Engineer, you will develop AI-powered features, integrating LLM APIs to enhance user workflows while collaborating with teams to ensure reliability and scalability.

The GEO & AI Search Specialist at Vilgain will develop the Generative Engine Optimization strategy, enhance AI visibility, and coordinate with SEO and content teams.

The AI Designer will create NPCs and gameplay mechanics, collaborate on design specs, analyze AI performance, and present new ideas within a remote multiplayer game team.

Develop and optimize AI pipelines for workflow intelligence, experiment with models, and collaborate to integrate AI systems into workflows.

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.

The AI Engineer will build data pipelines and improve ML systems for reliability in production. Responsibilities include schema design, data infrastructure, and model evaluation, ensuring high-quality outputs and integration with product workflows.

The AI Director will oversee ML bot development and implementation, identify AI opportunities, educate teams, and prototype AI solutions.