Top Artificial Intelligence Jobs in Israel

As a Senior Data Scientist, you will build NLP and ML models, lead projects, and drive data science solutions across B2B and B2C domains at Lightricks.

Lead security architecture for agentic AI, LLMs, and model/RAG/data pipelines across product lines. Perform advanced threat modeling for novel GenAI/agentic surfaces, design secure-by-default patterns, implement access-control and data-boundary solutions, prototype defenses, mentor engineers, and communicate AI security posture internally and externally.

Lead technical direction for HiBob's AI domain: design scalable AI and agentic architectures, own cross-team initiatives, drive decisions around LLMs, retrieval, tool calling, MCP and evaluation frameworks, mentor engineers, and ensure production-grade reliability and scalability.

Own and evolve Navan’s production runtime for AI agents, including orchestration, tool calling, streaming, state management, provider routing, reliability, observability, and scalability. Design resilient distributed-system capabilities, investigate complex production incidents, improve testing and fault tolerance, and build reusable APIs for agent developers. Collaborate across engineering, infrastructure, product, and AI teams while mentoring engineers and establishing best practices for reliable production AI systems.

Designs, builds, deploys, and supports AI-powered tools and automated workflows for Finance operations. Develops data pipelines, reporting applications, workflow automation, interactive applications, and AI-assisted analysis tools. Collaborates with Finance and technical stakeholders to improve processes, data quality, and decision-making. Supports development standards, CI/CD, AI governance, data compliance, troubleshooting, and ongoing enhancements.

Build and operate reliable production platforms and AI-integrated services. Improve observability, automate toil, troubleshoot AI provider/API issues, implement IaC, and support on-call incident response tied to SLOs.

Build the Agentic SDLC using autonomous AI agents to automate and improve software delivery from ideation through production monitoring. Develop scalable full-stack applications, architecture, developer experience workflows, and release-cycle automation. Collaborate across R&D while owning high-impact projects end to end. The role uses Node.js, Golang, TypeScript, React, AWS, Kubernetes, Redis, MySQL, and Elasticsearch, with DevOps and CI/CD experience preferred.

Own the end-to-end AI chatbot strategy and the Help Center knowledge hub: design and optimize LLM prompts, maintain docs (Markdown/MDX), implement failure detection, analyze deflection metrics, run AI trainings, track KPIs, and integrate AI tools with support/CRM systems to improve self-service and agent effectiveness.

Own Olly, Coralogix’s flagship AI product, from concept through launch. Partner closely with engineering on architecture and execution, use AI workflows to prototype and streamline product development, translate customer needs into impactful capabilities, and track business metrics. The role requires technical fluency, strong product ownership, experience with complex B2B SaaS or infrastructure products, and comfort in ambiguous startup environments.

Lead the end-to-end design vision for monday Agents, define new human-agent interaction paradigms, ship high-quality Desktop and Mobile experiences, raise design craft, mentor designers, and collaborate with Product, Engineering, Data Science, and Research to validate and iterate agentic features.

The AI System Architect leads and defines enterprise AI architecture, oversees integration strategies, manages platforms, and ensures governance compliance, shaping the AI roadmap and managing technical standards.

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

Own product positioning, messaging, launches, sales enablement, case studies, and client marketing for an AI-powered mobile gaming user-acquisition platform. The role translates complex technology into compelling buyer language, builds bottom-of-funnel proof, supports sales, develops customer community programs, and feeds market insight back to product and founders. Candidates must have product marketing experience in B2B SaaS, product launch experience, exceptional writing skills, and an AI-native workflow using Claude Code or a comparable agentic tool.

Define and own AI security architecture for agentic systems and LLMs, lead threat modeling for novel GenAI surfaces, secure model/RAG/data pipelines, set platform-wide secure-by-design standards, represent AI security externally, and mentor engineers.

Design and ship AI-first enablement solutions and content that teach product and business use. Rapidly prototype tools (agents, LLM workflows, no-code solutions), iterate from user feedback, deliver hands-on training, and collaborate across Product, Engineering, and client-facing teams to drive adoption and measurable impact.

Lead end-to-end product design for an AI voice-agent platform: research, explore, and ship agent experiences. Bridge voice conversations and UI for configuration, review, handoff, and reporting. Use coding agents to move designs to production, partner with Product and Engineering, validate through research and metrics, and raise design craft across the team.

Design, build, and maintain backend infrastructure and microservices enabling AI-driven features. Integrate AI models, develop APIs and data pipelines, ensure performance and resilience, drive engineering excellence, and mentor other backend developers.

Lead and manage all global legal and compliance functions, advising executives on commercial, M&A, contracts, AI/privacy, and regulatory risk. Oversee legal governance, statutory filings, policies, and a global legal team while supporting growth, partnerships, and cross-border operations.

The Senior Customer Program Manager will oversee program execution for technical and operational initiatives, ensuring alignment with customer needs and driving collaboration across global teams.

The Head of Digital Acquisition will lead HiBob's global paid growth engine, optimize paid media campaigns, mentor a team, and drive pipeline growth across segments.

Develop and deploy real-time predictive driving models from research to production. Design VLA models, optimize models for edge automotive platforms, bridge cloud training and embedded inference, and integrate state-of-the-art techniques into the autonomy stack while collaborating across R&D teams.

Lead the development of scalable backend services incorporating AI technologies, working closely with cross-functional teams while ensuring high-quality software delivery.

Develop, train, and optimize computer vision models (object detection, tracking, SLAM) for real-time edge and cloud deployment. Build end-to-end AI pipelines, manage datasets and augmentation, evaluate performance, and collaborate with cross-disciplinary engineers. Occasionally apply AI to non-vision data and research novel techniques to improve model robustness and efficiency.

Leads the HR Technology Center of Excellence and advises senior leaders on HRIS strategy, governance, risk, controls, and technology roadmaps. Owns complex issues across Workday, payroll, and downstream systems while driving AI, analytics, process improvement, data integrity, compliance, and global operating standards. Partners with HR, IT, Finance, business leaders, and vendors to implement scalable technology-enabled transformations across North America, Europe, and Asia.

Build end-to-end customer-facing AI products and agentic systems. Design orchestration, APIs, and distributed services; implement React frontends and Python backends; deploy scalable microservices on AWS with Docker and Kubernetes; improve reliability, observability, and production performance for continuous shipping.