Top Artificial Intelligence Jobs in Israel

Leads the Platform & Knowledge team responsible for AI agents, knowledge architecture, content governance, onboarding, learning, certifications, simulations, and analytics. Owns the AI backbone from architecture through production, establishes content and truth standards, manages the program supply chain, closes knowledge gaps using telemetry, and partners with Engineering, RevOps, Product, and marketing teams. This player-coach role requires hands-on AI implementation alongside team leadership and cross-functional roadmap ownership.

Conduct advanced security research across SaaS applications, identify security risks, and develop capabilities to address them proactively. Collaborate with R&D, Customer Success, and Product Management to integrate security practices. Monitor emerging SaaS threats and cloud security technologies, prepare findings and recommendations, and communicate them to technical and non-technical stakeholders. Apply security frameworks, monitoring and endpoint protection tools, automated testing, and AI technologies to improve security decision-making and outcomes.

Own the vision, strategy, roadmap, discovery, prototyping, launch, and scaling of monday agents. Build AI and agentic products from 0 to 1, conduct customer research, define success metrics, analyze usage data, and iterate rapidly. Partner with engineering, design, analytics, product teams, and leadership to create a consistent agent experience and drive measurable business impact at scale.

Provides legal counsel on AI and technology products across their lifecycle, from design and architecture through launch and operation. Advises Product, R&D, Security, Data, Privacy, and commercial teams on AI governance, privacy, IP, contracts, regulatory compliance, product disclosures, and risk. Drafts and negotiates technology and AI agreements, supports governance frameworks, monitors regulatory developments, and develops practical guidance and training for global legal and business teams.

Own the AI chatbot strategy and Knowledge hub, including prompt design, content quality, failure detection, analytics, and AI-related KPIs. Improve self-service and support workflows by analyzing deflection data, maintaining documentation, integrating AI with CRM systems, and training support agents. The role requires hands-on LLM prompt optimization, knowledge-base ownership, Markdown/MDX documentation, automation, and strong written English.

Build and operate AI-powered revenue enablement infrastructure, including knowledge agents, agentic onboarding, simulations, certifications, content generation, communications, and analytics. Translate business needs into technical specifications, scope MVPs, assess cost and feasibility, and own reliability, accuracy, uptime, and adoption. Partner with stakeholders and engineering teams, maintain roadmaps, document systems, and ensure solutions remain scalable and maintainable.

Lead and mentor AI software engineers while designing, building, and deploying production AI agents for sales and customer success. Own the agent platform’s technical direction, including orchestration, event processing, guardrails, integrations, observability, reliability, and LLM optimization. Partner with revenue stakeholders to translate business needs into measurable AI solutions and manage delivery, trade-offs, and technical quality.

Design and ship production AI systems and autonomous agents that plan, execute, verify, and recover across complex tools and workflows. Build evaluation and observability capabilities, explore models and techniques, balance capability with latency, cost, and reliability, and own projects from experimentation through production impact. Collaborate across monday.com while applying strong architecture, cloud engineering, product judgment, communication, and ownership.

Build monday.com’s Agentic SDLC using AI and autonomous agents to automate the software delivery lifecycle from pull request through production. Develop full-stack applications, design scalable architectures, improve developer experience, and collaborate across R&D. The role requires cloud-based engineering, modern backend and frontend development, release-cycle ownership, and potentially DevOps practices using AWS, Kubernetes, and CI/CD.

Build and own AI-native, full-stack products from design through deployment and monitoring. Develop user experiences with React, Next.js, Node.js, and TypeScript; integrate LLMs; make architectural decisions; optimize performance and scalability; and improve reliability across cloud-based systems. Collaborate with product and design teams, validate AI behavior with evaluations, and establish engineering best practices for AI-powered products.

Design and ship AI-powered communication and notification features. Architect high-throughput, event-driven systems and background workers, improve performance and reliability, integrate AI models, and work across backend and frontend technologies. Collaborate with product and design teams to deliver customer-facing experiences while shaping API design, observability, and scalable architecture.

Conduct advanced security research focused on AI models, agentic platforms, and infrastructure. Investigate vulnerabilities, prompt injection, adversarial manipulation, and model abuse; build proof-of-concepts; perform red-team testing; track competitors and industry trends; and collaborate with engineering, product, marketing, and customer teams to turn research into practical AI security protections and thought leadership.

Develop visual concepts, creative worlds, images, films, and motion pieces using generative AI and production techniques. Own the group’s creative direction and visual language, create partner demos and industry showcases, evaluate model capabilities, and provide actionable creative feedback to research and engineering teams. Collaborate with creative technologists, researchers, engineers, product, and partnerships teams to connect AI capabilities with real-world creative applications.

Serve as a strategic People Partner for Engineering and Cyber teams in Israel and globally. Own employee relations and people processes, coach managers, support performance and talent management, guide compensation and succession planning, use data to improve organizational health, drive engagement initiatives, and lead global HR programs. This is a one-year maternity leave replacement requiring strong strategic, hands-on, and cross-cultural HR expertise.

Lead hands-on AI/ML research across retrieval, agents, model routing, multimodality, and evaluation infrastructure. Shape the research agenda, define measurable quality standards, manage a small research team, and partner with product and engineering to ship research-driven features. The role requires continued coding and experimentation, production AI/ML experience, and a track record of turning research into products.

Lead the full enterprise sales cycle from prospecting and discovery through negotiation and close. Develop complex commercial offers, build executive-level relationships, manage legal and procurement discussions, identify account expansion opportunities, and collaborate with internal teams to deliver customer-focused solutions. The role focuses on new business across enterprise companies in Israel and requires strong outbound sales, consultative selling, negotiation, communication, and storytelling skills.

Build and ship production AI agents for monday.com’s Sidekick assistant, including tool use, reasoning, memory, context management, and agentic workflows. Own offline and online evaluation, observability, latency, cost, and quality improvements. Collaborate with product and design to develop AI features from prototype through production while applying current agentic techniques to ambiguous problems.

Lead Alice Labs’ AI safety and security research agenda, covering model evaluation, red teaming, adversarial robustness, LLMs, agents, and multimodal systems. Own the research roadmap, design industry-leading benchmarks, publish at top-tier conferences, mentor senior researchers, manage academic and industry partnerships, and translate research into products. The role also represents Alice externally at conferences, partner organizations, and frontier labs, requiring significant international travel.

Lead strategic, customer-facing AI projects from technical scoping through production delivery. Coordinate engineers, algorithm developers, linguists, and infrastructure teams while managing scope, milestones, risks, dependencies, resources, timelines, and quality. Serve as a trusted technical customer partner, translate complex AI concepts, guide model-related tradeoffs, define success criteria, curate golden datasets, and build alignment across internal and external stakeholders.

Drives customer transformation and technology sales for Microsoft AI, Security, Data, and Cloud solutions. Engages executives and decision makers, identifies and advances sales opportunities, manages pipelines and forecasts, develops customer-centric strategies, and collaborates with account teams, partners, engineering, and customer success to accelerate adoption, consumption, and business value.

Own end-to-end recruiting across technical and non-technical roles, partnering with senior leaders and hiring managers. Assess candidates using structured methodologies, hiring data, funnel metrics, and ATS reporting. Develop sourcing strategies, improve recruiting workflows, and apply AI to market research, candidate sourcing, assessments, and process optimization while managing multiple searches efficiently.

Define and drive the AI product vision, strategy, and roadmap for semiconductor metrology solutions. Translate customer needs, industry trends, and emerging AI technologies into product opportunities, requirements, and priorities. Lead initiatives from concept through development, validation, production, and customer adoption while collaborating with R&D, software, engineering, applications, field teams, and customers. Evaluate technical trade-offs, monitor competitive developments, and influence cross-functional stakeholders to deliver scalable, production-ready products.

Build and productionize applied machine learning models using game, player, and operational data. Responsibilities include problem formulation, data preparation, feature engineering, model evaluation, forecasting, classification, segmentation, anomaly detection, deployment, monitoring, and documentation. The role partners with product and business teams to connect model performance to outcomes and applies LLM and agent capabilities where useful.

Open Omnea’s Israeli market from Tel Aviv by building pipeline, managing complex enterprise sales cycles, and closing initial local customers. The role involves engaging Finance, Procurement, Legal, Security, and IT stakeholders; shaping Israel go-to-market strategy, partnerships, messaging, and events; feeding customer insights into product development; and establishing the foundation for a future local sales team. The position is remote while Omnea builds its Israel presence.

Own and scale monday.com’s HR technology ecosystem following its SuccessFactors implementation. Manage HRIS data, configurations, workflows, integrations, requirements, testing, and end-to-end projects. Partner cross-functionally with HR, Finance, Payroll, and IT while improving data quality. Build AI-powered workflows and automation using tools such as n8n, Claude API, monday agents, Cursor, and Snowflake to reduce manual work and expand HR capabilities.