Top Artificial Intelligence Jobs in Jerusalem

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.

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 the development of AI experiences across the HiBob platform, focusing on intuitive user interactions and driving product adoption through AI-powered workflows.

The AI Software Engineer will optimize computer vision pipelines for edge systems, ensuring performance and reliability while processing real-time maritime video streams.

The Head of AI & Automation will lead MAËLYS' AI transformation by defining strategy, building AI solutions, and driving business impact across functions.

The Senior Software Architect will lead the architecture and strategy for agentic AI systems, defining standards, frameworks, and ensuring scalable, secure implementations while mentoring others.

The Principal Engineer will define architecture and strategy for Redis capabilities in AI, design scalable systems for vector search, lead complex initiatives, and mentor engineers.

The Senior Pricing Data & AI Manager leads the development of AI-driven pricing models, analyzes customer data for monetization opportunities, and collaborates across teams to improve revenue performance.

Join Redis as a Software Engineer to develop and optimize vector and search capabilities, focusing on performance, reliability, and collaboration with multi-functional teams.

As an AI Forward Deployed Engineer, you will embed with strategic accounts to build AI solutions that address procurement challenges, while managing customer relationships and delivering outcomes.

As a Product Manager at Port, you will define product strategy, manage cross-functional teams, and shape the developer experience for AI platforms, focusing on impact and metrics.

The Head of Product will lead product strategy and execution for AIVM, focusing on AI and blockchain integration, while managing a high-performance product team and ensuring alignment across engineering and marketing.

The engineer will optimize AI libraries and components for unique hardware, focusing on performance improvements in AI models and kernels.

The AI Compiler Engineer will develop the AI graph compiler and work on the software stack to optimize AI models for unique hardware architecture. Responsibilities include enhancing performance for AI models and contributing to related components in the software stack.

The Senior Backend AI Engineer will design and build Riverside's AI architecture, focusing on reliable multi-step AI workflows and system performance under load.

Design, develop, and deploy generative AI solutions for B2B SaaS products, guiding strategic integration and optimizing performance.

The AI Architect will lead AI architectural guidance, hands-on innovation, and establish best practices for AI development while ensuring compliance with regulations.

The Full Stack Engineer will develop AI-driven workflows, integrate LLMs, and improve system reliability in collaboration with cross-functional teams.

The AI Transformation Lead will accelerate AI adoption by identifying opportunities, translating challenges into AI solutions, and driving organization-wide change.

The Applied AI Engineer will develop AI features, enhance model performance, debug issues across the tech stack, and collaborate with teams to deliver robust ML solutions.

The AI Business Analyst will analyze data to support GTM teams, automate workflows using AI, and master payment processes to aid business growth and customer retention.

The AI Adoption Engineer will enhance AI integration in non-R&D teams through use case discovery, tool development, enablement, and roadmap maintenance, ensuring effective adoption of AI solutions.

As an AI Backend Engineer, you will design and develop scalable backend services, integrate AI workflows, and ensure system architecture meets performance standards while collaborating with various teams.

As an AI Engineer, you'll design and build LLM-powered applications, develop agent workflows, and collaborate with teams to integrate AI systems into products.