Top Artificial Intelligence Jobs in Israel

The Generative AI Technologist will design and implement AI features in the FinOps SaaS platform, collaborating with cross-functional teams and optimizing AI performance.

The role involves developing techniques to GPU accelerate AI workloads, optimizing complex AI algorithms, and collaborating with experts to improve hardware and software design.

Lead the engineering infrastructure for SONiC Network OS product development, enhancing CI pipelines and implementing AI tools for regression analysis. Mentor team members and drive technical direction.

Conduct hands-on research on AI and cloud technologies focused on cost optimization; develop POCs and integrate findings with product and engineering; support pre- and post-sales with domain expertise; and publish technical thought-leadership content.

Lead and govern AI-enabled business transformation initiatives, translating strategy into execution plans, KPIs, ROI models, and cross-functional adoption. Manage prioritization, dependencies, risk tracking, stakeholder alignment, and senior leadership communications to ensure measurable business impact.

Design and implement AI-driven automation workflows and integrations, build RAG pipelines and AI agents, develop tool-integration frameworks, collaborate with stakeholders, and monitor and improve AI system performance, security, and scalability.

Build, deploy, and optimize production LLM-powered healthcare applications. Design agentic workflows and multi-modal data pipelines, implement MLOps/LLMOps and CI/CD, ensure HIPAA compliance, profile performance, and collaborate with clinicians to deliver clinical decision support and document-processing solutions.

The AI Engineer will design and develop LLM-powered AI solutions, integrate data sources, optimize AI pipelines, and collaborate with teams for impactful solutions.

Drive go-to-market strategy for AI products, conduct market research, develop product messaging and positioning, and enable sales teams for success.

Lead Windward's company-wide AI transformation across adoption, infrastructure, and builds. Build and run the program end-to-end, manage and grow teams, drive change with VPs, prioritize initiatives, create and sometimes implement agents and workflows, and measure/report impact (hours saved, adoption, platform leverage).

Technical owner for SysAid's Context Lake and Agentic Layer: build and maintain GitHub-based structured context, design agent workflows and orchestration, integrate with martech (CRM, automation, paid media), enable marketers to run automated campaigns, and iterate infrastructure and tooling to improve agent outputs and production reliability.

Design, prototype, and deliver AI-powered solutions using agentic and low-code platforms. Lead technical workshops, build agentic workflows and CI/CD for an AI builders community, ensure responsible AI practices, and collaborate with business and IT teams to deploy secure, maintainable solutions.

The Senior AI Engineer will build modular AI capabilities and autonomous agents for the CYE Platform, ensuring reliability and usability while collaborating with non-technical users.

The AI Researcher will research advanced AI model capabilities, develop assessment methodologies, create mitigation solutions, and support product development.

Lead product strategy and delivery for internal AI and productivity tools in Israel, represent local stakeholders on the global roadmap, partner with engineering to design and ship full-stack integrations (NVBugs, Jira, Salesforce, Git systems), and define adoption and productivity metrics across NVIDIA.

Design and refine prompts, build automations integrating LLMs, write Python/SQL code, perform QA on AI models, research AI advances, and collaborate with cross-functional teams to deliver AI-driven products.

The Algorithms Engineer will develop AI and Computer Vision solutions, manage model training and evaluation, and collaborate on product integration.

As an Applied AI Engineer, you will develop machine learning models, integrate AI tools into workflows, and analyze security risks utilizing AI.

The Mobile Developer will design, develop, and maintain mobile applications using AI tools for efficiency and quality, integrating third-party services while collaborating across teams.

As an AI Data Engineer, you will design and implement data pipelines for the Large Market Model (LMM), focusing on feature engineering, system reliability, and driving innovation through advanced AI technologies.

The AI Data Engineer will architect and engineer data pipelines for the Large Market Model (LMM), ensuring system reliability and exploring innovative features in AI-driven solutions.

The R&D Manager for AI Python Frameworks will lead a team to design and build foundational AI infrastructure, focusing on agent lifecycle management, observability, and developer enablement, while ensuring AI system reliability and quality across the organization.

Design and implement backend logic for AI-driven systems, develop scalable AI workflows, and ensure reliable performance of features involving AI technologies.

Design, build, and deploy LLM-powered autonomous agents and production AI infrastructure. Own end-to-end lifecycle from prototype to production, including evaluation, observability, scaling, and cross-functional delivery to accelerate engineering workflows.

Lead development and execution of AI-driven AML products. Define strategy, roadmap, and requirements; work with engineering, data science, and design; engage customers and stakeholders; apply ML and analytics to improve detection; track KPIs and iterate on product performance.