Top Artificial Intelligence Jobs in Jerusalem

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.

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.

Create video content using AI tools, edit footage, collaborate on storyboards, and generate audio elements for a casual game.

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

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

This role involves designing and deploying LLM-powered applications in healthcare, emphasizing data integration workflows, compliance, and collaboration with cross-functional teams.

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.

QuantHealth seeks a Senior Back End Engineer to develop a multi-service backend architecture and support agentic AI systems, focusing on API design and infrastructure for AI workflows.

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.

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 a Senior Software Engineer, you'll design and develop cloud-native Big Data systems, integrate AI/ML models, and collaborate across teams to enhance security solutions.

The role involves evaluating AI outputs, generating original content, reviewing texts, and ensuring cultural relevance. Candidates should have native fluency in Hebrew and a strong command of English, with attention to detail and the ability to follow guidelines.

The Ecosystem Growth Manager will drive the growth of AIVM through securing GPU providers, AI developers, and enterprise partnerships while ensuring seamless onboarding and integration processes.

The AI Solutions Consultant will work closely with enterprise customers to implement AI-powered automation in procurement processes, through design and deployment of AI agents and integrations with existing systems.

As a GTM Engineer, you will develop AI-driven solutions to automate workflows, enhance sales and marketing performance, and partner with executives to translate strategic goals into functional tools.

The Staff Backend Engineer will lead the development of a platform for AI models, focusing on architecture, scalability, and collaboration with research and application teams.