Principal Senior Data Scientist LLM Agents

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!

Job Summary

As a Data Scientist you will apply your expertise in software engineering LLM agents and cybersecurity to build new defense techniques against cyber-villains. You will be a driving force in designing and developing groundbreaking Agentic LLM-based security solutions that block attacks before they begin. Join our innovative team to shape the future of cybersecurity and impact millions of customers.

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.

Preferred Qualifications

• Advanced degree (MSc or PhD) in Machine Learning Computer Science Electrical Engineering Physics Statistics Applied Mathematics or a related field.

• 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.

Our Commitment

Were trailblazers that dream big 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.