Job Summary
Join our Security Autonomous SOC Team as a Principal AI Engineer to transform innovative AI/LLM research into impactful cybersecurity product features. You will leverage and augment our existing infrastructure, including BI systems and CI/CD pipelines, to design, develop, and deploy advanced LLM and Agentic capabilities. Your expertise in software development, AI engineering, and modern LLM technologies will directly drive the evolution of our security operations. By building robust, production-ready AI solutions, you will make a tangible difference in protecting our digital world against complex threats.
Key Responsibilities
Design and build Agentic security solutions to improve detection, response, and remediation capabilities.
Architect, implement, and optimize end-to-end LLM pipelines ensuring scalability from data ingestion to deployment.
Develop and deploy AI agents leveraging LLMs to automate complex security decision-making tasks.
Integrate LLM APIs and fine-tune models for specific cybersecurity use cases.
Transform promising AI and LLM research concepts into mature, robust, and scalable production-ready features.
Augment established BI data systems and CI/CD pipelines to support advanced AI development and experimentation.
Develop specialized tools and frameworks extending infrastructure to support AI-driven security research and remediation.
Collaborate with cross-functional teams to integrate AI innovations into customer-facing XDR, EDR, and SOAR platforms.
Qualifications
Required Qualifications
Minimum of 5 years of proven experience in software engineering and delivering production-ready solutions.
Demonstrated expertise designing, building, and optimizing end-to-end LLM pipelines and AI agents.
Exceptional programming skills in Python with a strong background in robust software development.
Extensive experience with data engineering, CI/CD environments, and cloud platforms like AWS, GCP, or Azure.
Proficiency in containerization technologies, including Docker and Kubernetes, for scaling AI and LLM solutions.
In-depth practical knowledge of AI concepts, LLM APIs, and model fine-tuning techniques.
Preferred Qualifications
Familiarity with cybersecurity concepts, security operations, incident response, and advanced threat research.
Hands-on experience working with XDR, EDR, NDR, or SOAR products and understanding attack methods.
Proven ability to innovate independently while collaborating effectively within dynamic, cross-functional engineering teams.
Strong critical thinking mindset with a passion for applying cutting-edge AI to solve complex security challenges.
Our Commitment
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.
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 accommodations@paloaltonetworks.com.
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.
Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.
