Top Artificial Intelligence Jobs in Israel

As an AI Applied Scientist, you will own the algorithm lifecycle, developing and deploying models from data analysis to production, while collaborating with customers and product teams.

The Tech Lead will implement robust backend infrastructure for AI capabilities, optimize systems for machine learning, and work closely with data scientists to scale products.

As an AI Applied Scientist, you'll lead the algorithm lifecycle, develop predictive models using various data sources, and collaborate with teams to create innovative solutions for industrial manufacturers.

The Applied AI Engineer will build AI solutions for business teams, optimize workflows, and collaborate to translate business needs into technical implementations, using advanced AI orchestration frameworks and Python.

In this role, you will design and build systems transforming data into insights, develop full-stack products, integrate AI agents, and lead technical decisions.

As Senior AI Product Manager at monday.com, you will define the product vision for AI-driven platforms, drive innovation, lead cross-functional teams, and ensure successful adoption of AI tools while partnering with various stakeholders.

Lead the development of AI-driven developer tools at monday.com, collaborating with stakeholders, optimizing productivity, and enhancing developer experience.

As an Engineering Tech Lead in the AI R&D group, you will lead technical architecture, manage team operations, and develop features for a scalable platform using generative AI and LLMs.

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 AI GTM Team Lead will guide AI positioning within Sales, Customer Success, and Marketing, create sales strategies, and enable client-facing teams to effectively communicate AI value to customers.

The Senior AI Software Engineer will build GenAI infrastructure, design AI agents, integrate workflows, and improve AI system reliability and efficiency.

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 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.

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

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

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

Own and evolve core backend services for a large-scale, AI-driven SaaS platform. Drive AI-assisted development adoption, build algorithmic components, design scalable distributed systems, contribute to architecture, and lead testing and observability efforts.

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 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.

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.

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

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

The AI Infrastructure & Reliability Engineer will manage cloud infrastructure, CI/CD processes, observability practices, and AI operations to ensure platform reliability and performance.