Top Artificial Intelligence Jobs in Israel

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.

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.

The GTM AI Product Manager will execute GTM strategies into operational AI solutions, manage project scopes, and ensure successful implementations across teams, while building prototypes and facilitating stakeholder partnerships.

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.

Lead security architecture, risk assessments, and threat modeling across cloud, SaaS, enterprise, and AI initiatives. Define security requirements, AI security strategy, governance, and vendor/security reviews. Guide compliance, audit readiness, and mentor security teams while influencing technical and executive stakeholders to enable secure adoption of emerging technologies.

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.

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.

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.

Lead direct sales to government ministries, defense and public safety agencies in Israel. Develop territory strategy, manage complex procurements and tenders, collaborate with engineering to map solutions, cultivate executive relationships, and drive end-to-end pipeline to exceed revenue targets.

As a Senior Product Manager, you will define and evolve GitLab's AI Platform Management capabilities, focusing on AI Control Plane and strategic governance. You'll lead product discovery, drive stakeholder alignment, and collaborate across teams to deliver effective management solutions for AI usage.

Partner with Customer Success to identify and deliver AI use cases: build, test, and operationalize AI agents, automations, and workflows integrated with CS systems (Zendesk, Slack, Notion, CRM). Drive adoption through enablement, define KPIs, measure impact, and translate field intelligence into product and process improvements to move CS from reactive support to proactive operational intelligence.

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

Lead a team of engineers to design and implement scalable systems for AI-driven experiences, ensuring integration across the platform, while fostering a culture of innovation and growth.

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.

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.

Lead development of AI-driven verification tooling: build AI ecosystems, integrate ML/LLM agents into verification flows, automate stimulus generation and coverage closure, create intelligent debug assistants, research AI approaches to state-space explosion, and train teams on human-in-the-loop methodologies.

Develop and maintain the company website and platform, build AI automations and AI-powered workflows, collaborate with product and design teams, add new features, and optimize existing system performance.

Design, build, and deploy AI-driven internal tools and agentic workflows that integrate LLMs to accelerate the SDLC. Architect orchestration layers (tool calling, MCP, memory, RAG), identify engineering bottlenecks, and implement zero-to-one solutions while evaluating models, APIs, and deployment approaches.

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 architectural vision and standards for scalable, secure GenAI and distributed systems. Architect LLM, RAG, embeddings, vector DBs, inference workloads, identity, observability, and deployment strategies while mentoring teams and driving POCs for emerging AI technologies.

Design, build, and operate scalable backend microservices and data-intensive pipelines for Big Data and AIOps workloads. Optimize PostgreSQL and ClickHouse schemas and queries, containerize services with Docker/Kubernetes, and collaborate on architecture, performance, and reliability.

The Senior Product Manager will identify opportunities in fintech and ERP workflows, shape product direction, collaborate with teams, and own the delivery path of financial software innovations.

Lead and grow an AI/ML engineering team, set technical direction for AI solutions, and manage scalable ML infrastructure for Stampli's B2B SaaS platform.

Lead strategy, roadmap, and delivery of generative AI products (LLM copilots, knowledge assistants, document intelligence) for supply chain. Drive data readiness, governance, evaluation, cost management, and value tracking. Build practice, mentor teams, and align cross-functional partners to scale production LLM solutions with Responsible AI controls and measurable business outcomes.