Palo Alto Networks Principal Data Scientist - LLM Agents (Cortex) \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Principal Data Scientist - LLM Agents (Cortex) Full-time Department: Engineering Job Country: Israel Company Description Our Mission At Palo Alto Networks®, were united by a shared missionto protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If youre ready to do the most meaningful work of your career alongside people who are just as passionate as you are, youre in the right place. Who We Are In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! We believe collaboration thrives in person. Thats why most of our teams work from the office full time, with flexibility when its needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Description The Team Our engineering team is at the core of our products and connected directly to the mission of preventing cyberattacks. We are constantly innovating challenging the way we, and the industry, think about cybersecurity. Our engineers dont shy away from building products to solve problems no one has pursued before. We define the industry instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment. Job Summary Are you passionate about harnessing cutting-edge data science techniques to protect the world from cyber threats? Do you thrive in the dynamic world of cybersecurity? If so, we invite you to join our innovative and forward-thinking team at Palo Alto Networks, where you'll have the opportunity to shape the future of cybersecurity and impact millions of customers. As a Principal Data Scientist, you will apply your expertise in data analysis, machine learning, LLM agents, and cybersecurity to build new defense techniques against cyber-villains. You will be a driving force in designing and developing groundbreaking, Agentix LLM-based security solutions that block attacks even before they begin. Important: this role requires a unique combination of hands-on software engineering skills as well as previous experience with designing and delivering LLM-driven products. Key Responsibilities Contribute to a diverse and highly skilled research group that pioneers state-of-the-art technologies to protect our customers Utilize analytical rigor, statistical methods, programming, and data modeling to analyze vast amounts of data, applying your cybersecurity knowledge to guide our focus and approach Design and implement agentic LLM solutions to face modern cybersecurity challenges Decompose complex problems scientifically and provide actionable insights and recommendations to both technical and non-technical stakeholders Lead and collaborate on end-to-end projects within the team and across engineering and product teams, from initial ideation to final deployment Qualifications Required Qualifications Natural scientific curiosity and ability to handle complex problems. At least 2 years of experience in hands-on Agentic LLM projects. This includes experience with the common agentic frameworks (e.g., LangChain, LangGraph), with emphasis on algorithmic design, large-scale deployment and monitoring. At least 4 years of experience as a software engineer with high proficiency in python and at least good familiarity with SQL. Deep understanding of probability, statistics, and machine learning models with a proven track record of selecting, modifying, and applying advanced algorithms to solve practical problems. Demonstrated ability to run end-to-end research POCs, from conceptualization to solutions, including designing, executing, analyzing, and concluding research methodologies and outcomes. Good communication skills, with the ability to convey complex research findings clearly and effectively to both technical and business audiences. Advantages Background in the cybersecurity domain. Hands-on experience with open-source generative libraries (e.g., Hugging Face). Experience working with big data platforms (e.g., GCP). Familiarity with cloud-native architectures and services for data processing. Additional Information The Team Our engineering team is at the core of our products and connected directly to the mission of preventing cyberattacks. We are constantly innovating challenging the way we, and the industry, think about cybersecurity. Our engineers dont shy away from building products to solve problems no one has pursued before. We define the industry instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment. LI-HS4 Our Commitment Were problem solvers that take risks and challenge cybersecuritys status quo. Its simple: we cant accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at  . Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. 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The role requires at least two years of experience in hands-on Agentic LLM projects, including familiarity with common agentic frameworks like LangChain and LangGraph, with a focus on algorithmic design, large-scale deployment, and monitoring. Additionally, a minimum of four years of experience as a software engineer with high proficiency in Python and good familiarity with SQL is necessary. A deep understanding of probability, statistics, and machine learning models, along with a proven ability to apply advanced algorithms to practical problems, is essential. The candidate must demonstrate the capability to conduct end-to-end research proof-of-concepts, from conceptualization to solution delivery, including designing, executing, and analyzing research methodologies. Good communication skills are required to effectively convey complex research findings to both technical and business audiences.