Top Artificial Intelligence Jobs in Israel

Own the product lifecycle for LLM-powered recruiting features, from discovery and requirements through launch and optimization. Define product vision, roadmaps, and priorities while partnering with engineering, data science, design, and go-to-market teams. Evaluate LLM outputs, label data, analyze conversation traces, identify failure modes, and improve prompts, workflows, metrics, and system logic. Translate customer and stakeholder feedback into product decisions and guide cross-functional teams toward reliable, scalable AI experiences.

Leads IT in Tel Aviv, manages IT Solutionists, and builds autonomous employee experiences through AI-powered automations, agents, workflows, and internal tools. Partners with Product, Engineering, Operations, and Security to identify and deliver high-impact opportunities, while owning workplace technology, networks, vendors, budgets, governance, and technical support. Requires strong system design, AI, integration, prototyping, team leadership, communication, and ambiguity-management skills.

Own key parts of Torq’s agentic AI platform for security operations, including agent management, user interactions, UX, prompt engineering, and adoption. Partner with engineering to deliver capabilities, represent customer needs, monitor AI trends, and analyze product and usage data. Candidates should have 3–5 years of product management experience, strong agentic AI and LLM knowledge, at least two years in cybersecurity—ideally SecOps, incident response, threat intelligence, or threat hunting—and experience with automation products and APIs.

The role involves conducting independent research in AI and cybersecurity, collaborating across tracks, and mentoring junior researchers. Candidates should have a strong publication record and expertise in various AI methodologies.

The Applied AI Researcher will train models, maintain benchmarks, preprocess data, conduct experiments, and collaborate with engineering teams within various AI research tracks.

Lead the design and development of automated tests for UI, API, and integration layers, ensuring fast and reliable software releases. Collaborate with developers to implement robust testing strategies and integrate with CI/CD pipelines.

The Senior Product Designer will lead the design vision, develop user-centered experiences for AI systems, and establish design standards in high-stakes environments, collaborating across teams to drive product lifecycle from concept to execution.

The role involves designing advanced AI models for cybersecurity solutions, leading research initiatives, and mentoring data scientists, focusing on LLMs and scalable systems.

Lead the development of software architecture for advanced neural network AI tools, collaborating with hardware/software teams to enhance NPU efficiencies and guide product innovation.

The R&D Technical Project Manager will lead multidisciplinary engineering teams in developing Neural Network Processor products, ensuring project delivery from planning through mass production, while managing technical risks and stakeholder communication.

Key contributor to AI Graph Compiler design for NPUs, optimizing performance under constraints, collaborating on HW-SW co-design, and mentoring junior engineers.

The AI Data Specialist will perform data-related tasks like collection, evaluation, and annotation to improve AI-generated content in Hebrew.

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

The AI Researcher will design, train, and deploy advanced neural network models for robotics applications, collaborating with cross-functional teams to integrate models into physical robots, focusing on machine learning lifecycle management.

Develop and maintain Agentic AI components including multi-agent orchestration and RAG workflows. Implement backend logic and data processing in Python and SQL, integrate systems via APIs, write specs and tests, support debugging and production issues, collaborate with global teams, engage end users, and document solutions.

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

As a Senior Software Architect, you will lead the architectural development of advanced networking applications for AI and HPC systems, collaborating with various teams to define software stacks and contribute to groundbreaking technologies.

Develop and integrate AI/ML-driven CAD solutions and automation flows for VLSI design, verification, and implementation. Research, prototype, and deploy AI algorithms; build and maintain automation scripts and infrastructure; collaborate with design and verification teams to improve workflows; evaluate AI impact on design quality and productivity; provide technical support and training for AI-enabled CAD flows.

Design and build Gong's internal agentic framework and runtime, including orchestration, evaluation, observability, safety guardrails, SDKs/APIs, and cross-language integrations to enable production-grade AI agents at scale.

Develops AI-driven creative ideation systems for mobile game user acquisition. Uses performance data, ad-network results, playable analytics, and creative expertise to identify effective concepts, build evaluation frameworks, prototype solutions, and scale them into production workflows. Collaborates with research, creative, engineering, and customer-facing teams to improve experimentation, creative decisions, and closed-loop learning across advertising platforms.

Own AI deployment methodologies, standards, governance, and best practices across the organization. Guide teams designing and implementing AI solutions, coordinate cross-functional stakeholders, support project execution, manage risks and dependencies, and develop playbooks, architectures, templates, training, and knowledge-sharing programs. Ensure AI implementations are consistent, scalable, reliable, and production-ready while enabling teams to apply modern approaches including RAG, prompting, agents, and guardrails.

Leads strategy, architecture, roadmap, lifecycle management, validation, manufacturing, and deployment of high-end switch hardware platforms for AI networking fabrics. Partners with engineering, ODMs, contract manufacturers, supply chain, sales, marketing, and customers to define specifications, manage trade-offs, deliver products at scale, and drive post-launch improvements. Presents product plans and business cases to executives.

The role involves conducting simulated cyber attacks, vulnerability assessments, risk analyses, and developing mitigation strategies for AI security technologies.

As a CBRN expert at Alice.io, you will evaluate and create prompts for Generative AI systems, ensuring their safety and accuracy in CBRN contexts. You'll provide expert feedback and stay updated with relevant research and regulations.

As an AI Engineer, you will develop scalable deep learning systems, manage AI lifecycle processes, and optimize models for humanoid robotics.