Artificial Intelligence

• Lead threat modeling and secure design reviews from the design stage with Product and R&D
• Embed security into CI/CD pipelines, products, and technology environments through security testing, tooling, and automated controls
• Define and implement guardrails for access control, data exposure, injection risks, and rate limiting
• Build scripts and automation to improve security workflows and reduce manual work
• Secure cloud infrastructure across AWS, GCP, and Azure
• Own WAF and site protection, including custom rules, rate limiting, bot mitigation, and DDoS protection
• Lead detection, response, and incident handling across endpoint, cloud, and application layers
• Integrate and maintain security tools and controls, including SAST, cloud security platforms, WAF, and EDR
• Coordinate penetration testing and remediation
• Support SOC 2 and ISO 27001 requirements

AI AppSec Engineer

• Design, build, and deploy AI agents that automate and augment high-value workflows across business functions.
• Own the end-to-end agent stack, including tool use, memory management, multi-step planning, human-in-the-loop escalation patterns, guardrails, and audit trails.
• Define agent evaluation frameworks measuring task completion, accuracy, hallucination rates, latency, and business impact.
• Iterate on agent behavior based on real usage data and stakeholder feedback.
• Collaborate with engineering teams to design, build, and maintain production pipelines.
• Stay current with developments in AI and machine learning, particularly large language models, and explore applications for improving products and services.

AI Applied Researcher

• Drive AI and business transformation initiatives from strategy into structured execution
• Work with business, product, AI, and IBT stakeholders to shape AI-driven capabilities and adoption processes
• Lead transformation execution governance, including planning, prioritization, follow-up, dependency management, and execution rhythm
• Translate business priorities into actionable plans, clear workstreams, and measurable outcomes
• Define KPIs, ROI models, and cost-related considerations to support decision-making and value realization
• Identify risks, gaps, dependencies, and blockers, ensuring timely escalation and resolution
• Build and implement transformation processes, governance structures, and execution frameworks
• Support senior stakeholders with clear communication, structured updates, and presentation materials
• Drive cross-functional alignment and accountability across multiple teams and initiatives

Senior AI Enablement

• Manage, mentor, and synchronize Data Science, Network Research, and Asset Classification teams
• Ensure cross-functional synergy and unified product delivery
• Architect visibility solutions using domain expertise and advanced machine learning
• Scale asset discovery while maintaining accuracy for critical infrastructure
• Oversee translation of undocumented industrial and medical protocols into actionable AI model features
• Collaborate with data groups, product management, and R&D teams
• Translate network visibility into risk management, segmentation, and threat detection policies
• Manage passive, active, and integrated data collection techniques
• Architect information fusion for individual devices at AI scale across applications, algorithms, and LLMs

Artificial Intelligence jobs in Israel

AI AppSec Engineer

AI Applied Researcher

Senior AI Enablement

Director of Data, AI