Hiring: Sr. Principal AI Researcher, AI Transformation Company: Palo Alto Networks Location: Tel Aviv-Yafo, Tel Aviv District, Israel Job Posted Time: 2026-09-16 21:40:25 Employment Type: Full-time / Hybrid Target Skills & Keywords : AI, Data Pipeline, GCP, LLM, LangChain, LlamaIndex, Machine Learning, Python, RAG, RBAC, TypeScript About the job Experience: •5 years of experience in Applied AI research, Data Science, or Machine Learning engineering. Required Skills: •Shape the future of AI-powered software engineering at Palo Alto Networks. As part of our AI Transformation group, you’ll join a multidisciplinary group building state-of-the-art, agentic AI systems that directly elevate the productivity of thousands of internal engineers. •This is an applied AI research role, where you will be inventing new technology, bringing the latest innovations into our agentic software development practices, and responsible for co-building systems that get deployed to our entire, global Cortex engineering organization. •Stay at the forefront of AI advancements in agentic coding and integrate state-of-the-art techniques. •Build functional Proof of Concepts (PoCs) and architectural skeletons to evaluate new AI techniques before scaling. •Critically audit and challenge internal AI solutions, benchmarks, and architectures to prevent technological obsolescence. •Design rigorous testing methodologies to assess model accuracy, latency, cost efficiency, and drift across solutions. •Research and design advanced knowledge-retrieval architectures, including standard and graph-based RAG and hybrid contextual search. •Partner cross-functionally with core AI engineering to transition validated prototypes into reusable components for our engineering workforce. Qualifications: •Minimum of 5 years of experience in Applied AI research, Data Science, or Machine Learning engineering. •Deep, hands-on experience over the past 12+ months developing leading-edge agentic coding practices. •Proficiency in Python and/or Typescript, with deep familiarity in Agentic AI orchestration libraries like LangChain, LlamaIndex, or LangGraph. •Hands-on experience developing advanced RAG pipelines, GraphRAG frameworks, and interacting with Graph Databases or vector indices. •Practical experience with autonomous agent protocols, multi-agent communication layers, or Model Context Protocol (MCP). •Understanding of secure data pipelines, including Role-Based Access Control (RBAC) and prompt injection mitigation. •Hands-on production experience utilizing Google Cloud Platform (GCP) services and infrastructure. •Strong knowledge of data privacy and security considerations specific to AI and ML systems. •Post-graduate work or equivalent advanced degree in Artificial Intelligence, Data Science, or a related field. •We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. Compensation: •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!