Sr Principal Cybersecurity Researcher - Cortex AI Research

Palo Alto Networks•Remote - USA - CA, CA

3d•Remote

About The Position

Our Mission At Palo Alto Networks®, we’re united by a shared mission—to 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 you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re 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! This role is remote, but distance is no barrier to impact. Our hybrid teams collaborate across geographies to solve big problems, stay close to our customers, and grow together. You will be part of a culture that values trust, accountability, and shared success where your work truly matters. Job Summary We're seeking a talented and experienced Sr Principal Security Researcher to join as the cybersecurity lead for the Cortex Foundational Artificial Intelligence Research Team. Our team mission is to advance the state of the art of Cybersecurity AI by applying leading-edge AI technology to the cybersecurity domain. We are building and improving foundational capabilities in cybersecurity systems using Agentic AI, Generative AI, and Large Language Models to be leveraged in future cybersecurity products. If you have a passion for Cybersecurity and Artificial Intelligence, join us to help develop advanced technology to solve major cybersecurity challenges. You will work with a highly experienced, multidisciplinary, and diverse group of Cybersecurity, AI, and Machine Learning experts. The ideal candidate enjoys collaboration, open ended problem solving, and rolling up your sleeves to find a pragmatic solution that pushes the team and our mission forward – we celebrate learning results quickly from iterative data-driven experiments. We expect candidates to have some prior exposure to AI, but most candidates will have the majority of their experience in Cybersecurity.

Requirements

Strong background in cybersecurity, with at least 7 years of experience in the field
Practical exposure to a range of cybersecurity domains (we are especially looking for additional expertise in Security Operations, DevSecOps, InfoSec, secure coding practices, offensive security, incident response, and/or threat modeling)
Domain knowledge to evaluate if an AI system is producing correct or hallucinated results.
Understanding of common cybersecurity tools and frameworks used in Security Operations Centers (SOC)
Experience with Agentic AI technology for agentic coding and/or building custom agents with an existing framework
Strong analytical and problem-solving skills
Excellent written and verbal communication and collaboration
Thrives when working on open-ended problems without known solutions

Nice To Haves

Well-rounded exposure to many topics in cybersecurity, and eager to quickly learn about areas where you have knowledge gaps
Basic knowledge of AI concepts, particularly Agents and LLMs
Previous experience applying AI/ML techniques to cybersecurity problems or coding
Familiarity with prompt engineering
Knowledge of data privacy and security considerations in AI/ML
Published blog posts, articles, books, research papers, etc. in a cybersecurity, IT, engineering, or scientific field
A solid network of security professionals you can reach out to for ideas and external collaboration

Responsibilities

Identify, innovate, build, and evaluate how leading edge AI, Agents, and LLMs can enhance existing cybersecurity processes and tools
Define, design, and develop cybersecurity-specific tasks, benchmark, and evaluation methodologies to assess AI, Agents, and LLM effectiveness in cybersecurity scenarios
Collaborate with AI researchers to improve AI and LLM performance on cybersecurity-related tasks, especially those typically done in a Security Operations Center (SOC)
Leverage state-of-the-art agentic coding tools to accelerate your own research
Curate, annotate, and validate datasets for training and evaluating AI and LLMs on cybersecurity tasks
Stay up-to-date with the latest developments in both cybersecurity and AI fields
Communicate with security experts throughout the organization to share technical progress and system accuracy
Prepare technical reports and presentations on research findings and model improvements
Participate in relevant conferences and workshops to share knowledge and stay current with industry trends