Top Artificial Intelligence Jobs in Israel

Own complex customer product and technical inquiries across chat, email, and Zoom. Diagnose root causes, configure solutions, educate customers, identify broader value and expansion opportunities, and coordinate with technical support teams. Build product expertise, share knowledge, mentor teammates, and stay current on AI capabilities. The role requires strong communication, empathy, technical learning ability, adaptability, and customer-focused problem solving.

Build AI-native products and full-stack features from concept through deployment and monitoring. Lead architectural decisions, collaborate with product and design, and improve engineering reliability, performance, and scalability. Develop user experiences with React, Next.js, Node.js, and TypeScript while integrating LLM technologies. Establish AI development best practices, testing strategies, and evaluation methods for model behavior. Preferred experience includes vector embeddings, RAG architectures, rapid prototyping, and startup environments.

Secures ServiceNow’s AI agent systems by analyzing attack surfaces, threat modeling architectures, building runtime and static security controls, red-teaming agents, developing evaluations, and mitigating prompt injection, tool hijacking, privilege escalation, memory poisoning, and data leakage. The role requires hands-on Python development, AI security expertise, collaboration with engineering and product teams, and communication of technical risks and solutions.

Own Upwind’s brand strategy, identity, messaging, campaigns, website experience, organic social presence, creative direction, and brand measurement. Partner with marketing, product, design, events, and sales teams to build recognition among security engineers and CISOs. Manage agencies and vendors, use AI to accelerate brand production, and connect brand investment to pipeline and category growth.

Leads the company’s technology organization across Engineering, Product, Data, Infrastructure, and IT. Owns technology strategy, architecture, product roadmap, platform scalability, reliability, security, cloud infrastructure, DevOps, and AI adoption. Partners with executive leadership to align technology initiatives with global business growth, modernize architecture, improve automation and observability, and develop AI-powered products and workflows.

Own the security strategy and architecture for ServiceNow’s agentic AI ecosystem, LLMs, models, and supporting pipelines. Lead threat modeling for novel AI attack surfaces, define secure-by-design standards for model, RAG, and data systems, establish access-control and governance architectures, and drive adoption across engineering teams. Represent AI security externally and to executives, mentor engineers, and collaborate with research teams on emerging threats. The role requires extensive software and security engineering experience, platform-level architecture leadership, and deep hands-on AI security expertise.

Build and operate production AI agents, agentic workflows, and AI-enabled developer tools. Design AI systems using agent frameworks, RAG, MCP, tool calling, and guardrails. Develop AI SDLC platforms, observability, tracing, evaluations, and cost analysis. Maintain infrastructure, CI/CD, GitOps workflows, and security controls for AI services. Create internal developer tooling and automation while partnering with engineering and product teams on scalable AI solutions.

Leads enterprise AI engineering delivery, security-by-design implementation, architecture roadmaps, governance frameworks, and global deployment. Builds and manages distributed AI engineering teams, translates business needs into high-impact technical strategies, and develops partnerships with cloud providers and AI startups. The role also represents Micron’s generative AI program internally and externally while driving standardized development practices and regulated, security-conscious delivery.

Build and improve AI systems for text and image generation at render.ai. Responsibilities include prompt engineering, model quality lifecycle management, evaluation frameworks, offline testing, A/B experiments, production monitoring, observability, data sourcing and cleaning, and rapid prototyping. The role requires strong TypeScript and Python skills and involves expanding the product into additional modalities such as voice and video.

Own monday.com’s product illustration and visual language system across product experiences. Create illustrations, storyboards, AI agent character concepts, and visual direction for onboarding, empty states, announcements, and other interface moments. Translate ambiguous ideas into clear visual concepts, apply scalable design-system thinking, document guidelines, and collaborate with product, brand, and content designers to connect product and brand visual expression.

Develop backend services and cyber defense solutions for Microsoft Security. Responsibilities include improving service lifecycles, analyzing complex system behavior, streamlining deployments, reducing costs, collaborating across engineering and security teams, and using AI-assisted development tools. The role requires hands-on backend software development experience, initiative, and the ability to design and operate scalable services in cloud or on-premises environments.

Develop and deploy AI tools, agents, workflows, and intelligent automations using platforms such as Copilot Studio and UiPath. Integrate AI with enterprise systems, APIs, identity platforms, and knowledge bases. Build secure, governed, context-aware multi-agent systems using RAG, MCP, prompt engineering, and cloud AI platforms. Partner with cybersecurity, improve solutions through feedback, and promote AI literacy through documentation and training.

Design and implement agentic platforms, AI workflows, LLM and RAG solutions, evaluation frameworks, and production-grade AI systems. Prepare large-scale data for training and inference, integrate AI with existing products, and collaborate cross-functionally to identify opportunities. The role requires Python proficiency, modern AI expertise, software development experience, and practical experience building AI agents, workflows, and LLM-based solutions.

Pilot humanoid robots through a dedicated teleoperation system, perform complex remote tasks for AI data generation, test and validate software builds, identify bugs and performance limits, and recommend improvements to robot behaviors, interfaces, and data-collection processes. The role requires sustained focus, dexterity, situational awareness, protocol adherence, technical communication, and availability for a 45-hour weekly schedule including possible nonstandard hours.

Own complex, AI-driven product initiatives from discovery through delivery. Translate ambiguous customer and business needs into validated solutions, clear requirements, user flows, and development-ready specifications. Partner with R&D and Data to assess feasibility, prioritize work, make customer, business, and technical trade-offs, and drive successful execution.

Lead product marketing strategy for a cloud-based AI and cybersecurity platform serving physical AI and smart mobility markets. Develop messaging, positioning, sales enablement, thought leadership, webinars, partner programs, content, analyst relations, media opportunities, and product announcements. Collaborate with product, sales, customer success, alliances, customers, prospects, and technology partners while representing the company in webinars, interviews, and speaking engagements.

Leads strategic supply chain programs focused on business transformation, readiness, operational excellence, and process improvement. Manages complex projects, resources, milestones, stakeholder alignment, analytics, reporting, documentation, and executive communication. Partners with R&D, Operations, Procurement, Finance, and business teams while applying AI tools and data-driven insights to improve decision-making and execution.

Manage strategic enterprise client relationships across multiple verticals, serving as the primary contact and ensuring satisfaction, commercial performance, product adoption, renewals, and successful delivery. Translate client goals into actionable plans, coordinate cross-functional teams, monitor performance metrics, identify expansion opportunities, and represent customer needs internally. Requires frequent travel to Genoa, Italy, approximately twice monthly.

Build and launch AI-first enablement tools, content, and prototypes that help customer-facing teams learn monday.com products, agents, pricing, and business concepts. Diagnose business needs, rapidly develop solutions, iterate based on user feedback, deliver enablement sessions, and collaborate across Product, Engineering, Client-Facing teams, and the broader CCO organization.

Leads global IT planning, strategy, governance, budgeting, portfolio and program management, AI transformation, performance measurement, and executive reporting. Partners with the CIO and IT leadership to develop roadmaps, manage investments, establish operating cadences, coordinate cross-functional initiatives, and translate technology priorities into measurable business outcomes.

Leads global Talent Acquisition transformation by developing technology and operations strategies, advancing AI and automation adoption, managing recruiting systems and vendors, establishing governance and KPIs, delivering analytics, and driving continuous improvement and change across the TA function.

Own the vision, strategy, roadmap, and execution of Navan’s Book with AI product across hotels, rental cars, and rail. Lead the complete travel-booking journey, improve conversion and customer trust, guide conversational and UI experiences, and partner with engineering, AI/ML, data, design, operations, and support teams. Define AI evaluation criteria, lead experimentation, analyze customer feedback and production issues, prioritize improvements, and communicate decisions and progress to stakeholders.

Develop sourcing strategies and talent pipelines across technical and non-technical roles. Use AI, automation, market mapping, competitive intelligence, and pipeline metrics to identify and engage candidates. Partner with recruiters and hiring managers, improve candidate outreach and experience, support employer branding, represent the company in the talent market, and continuously optimize sourcing effectiveness.

Analyze product usage and AI model performance to guide product strategy and growth. Build executive dashboards, semantic layers, KPI definitions, event-tracking schemas, and user journey analyses. Identify adoption gaps, measure feature and roadmap impact, evaluate AI outputs, and improve prompt engineering. Partner with Product and Technology leadership to standardize metrics, enable self-service data discovery, and translate complex findings into actionable recommendations.

Own Loora’s complete B2B sales cycle, from prospecting and discovery through product demonstrations, pilots, negotiations, and closing. Build and manage a pipeline, engage L&D, HR, Talent, and education decision-makers, refine customer messaging and sales processes, document a repeatable sales playbook, and provide market feedback. This founding sales role requires building the sales engine from the ground up while selling an emerging AI language-learning product.