Top Artificial Intelligence Jobs in Israel

The AI Engineer will architect and build AI-native systems, lead model quality lifecycle, and collaborate across teams to enhance product experiences at monday.com.

The Lifecycle Marketing Manager will design and execute campaigns to promote AI adoption, analyze performance, and collaborate across teams to enhance user experience.

The AI Engineer is responsible for designing, implementing, and deploying AI systems and applications, focusing on machine learning models and large language models (LLMs).

The AI System Architect leads and defines enterprise AI architecture, oversees integration strategies, manages platforms, and ensures governance compliance, shaping the AI roadmap and managing technical standards.

The Lead AI Product Manager for AI Trust will co-own strategy, drive core product areas, and build trust between organizations and AI agents, balancing enablement and control while directly engaging with customers.

The Lead Product Manager will own the vision and roadmap for developer tools and AI infrastructure, drive adoption, lead cross-team initiatives and define AI-powered workflows to enhance developer experiences.

The AI Lead will drive AI initiatives within the customer organization, translating strategy into execution, managing projects, and analyzing performance metrics.

As a Senior Product Manager, you will define and evolve GitLab's AI Platform Management capabilities, focusing on AI Control Plane and strategic governance. You'll lead product discovery, drive stakeholder alignment, and collaborate across teams to deliver effective management solutions for AI usage.

The AI Solution Engineer will design and deliver AI-driven workflows, enhance sales efficiency, and create practical solutions while collaborating across departments to optimize business processes.

The Senior AI Engineer will design and maintain AI capabilities, develop internal servers, implement evaluation frameworks, and foster AI practices while collaborating across departments at Riskified.

The role involves shaping AI product strategy for monday service, managing the product lifecycle, understanding customer needs, and validating product ideas. Collaboration with various teams is essential to deliver impactful AI solutions.

The Senior Customer Program Manager will oversee program execution for technical and operational initiatives, ensuring alignment with customer needs and driving collaboration across global teams.

As Senior Corporate Counsel, you will provide legal advice on various matters, draft and negotiate agreements, and support different teams across NVIDIA's Israeli operations.

Lead a team of engineers to design and implement scalable systems for AI-driven experiences, ensuring integration across the platform, while fostering a culture of innovation and growth.

The role involves managing the AI platform roadmap, defining reusable AI capabilities, collaborating with engineering, and shaping AI standards within the product ecosystem.

Lead a multidisciplinary team to develop and implement AI solutions for Cellebrite's products, ensuring reliable, scalable systems and compliance with legal standards.

As an AI-Native Mobile Engineer, you will design and build cross-platform mobile applications using Flutter, integrate IoT features, and contribute to backend services.

As Senior AI Product Manager, lead vision and strategy for monday vibe, drive innovation in AI app creation, and collaborate across teams to deliver impactful features.

The Staff Product Manager will guide product strategy, collaborate with cross-functional teams, and leverage data to develop innovative AI solutions for travel technology.

The Full Stack Data Scientist will leverage generative AI to create developer tools, lead AI research from data preparation to production, optimize LLM-based systems, and collaborate on AI best practices.

The Algorithm and Applied AI Scientist (DSP) will lead projects focused on signal processing and data analytics, develop predictive models, and collaborate with product teams to provide data-driven solutions for industrial manufacturing.

Design, develop, and manage scalable BI solutions, collaborate with data professionals, ensure data integrity, and optimize SQL queries.

The role involves architecting AI verification methodologies, developing AI tools for formal verification, and collaborating with CAD teams to enhance automation workflows.

Lead the transition to a self-hosted LLM ecosystem, optimizing model inference, developing agentic workflows, and executing fine-tuning strategies for chatbot enhancement.

The Senior Product Manager will oversee the strategy and development of AI-driven autonomous agents, focusing on UX, technical orchestration, and performance evaluation.