# Principal Applied AI Researcher (Prisma AIRS) at Palo Alto Networks

- Company: Palo Alto Networks
- What the company does: Implement Zero Trust, Secure your Network, Cloud workloads, Hybrid Workforce, Leverage Threat Intelligence & Security Consulting. Cybersecurity Services & Education for CISO’s, Head of Infrastructure, Network Security Engineers, Cloud Architects & SOC Managers. Backed by Greylock, Sequoia and Felicis.
- Company website: https://www.paloaltonetworks.com/
- Type: Startups (AI role)
- Level: Principal and up
- Location: Santa Clara, United States of America
- Work setup: On-site
- Posted: 2026-10-06
- Apply by: 2026-11-20
- Apply: https://paloaltonetworks.wd5.myworkdayjobs.com/en-US/panwexternalcareers/job/Santa-Clara-United-States-of-America/Principal-Machine-Learning-Engineer--Prisma-AIRS-_JR-023144?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/palo-alto-networks-principal-applied-ai-researcher-prisma-airs/

## About the role

As a Principal Applied AI Researcher on the Prisma AIRS Runtime Security team, you will serve as a technical visionary and strategic leader shaping the future of AI security. You will partner with executive leadership, product management, UX designers, ML engineers, and cross-functional engineering teams to conceptualize, architect, and deliver enterprise-grade, cutting-edge AI detection and protection solutions for the Prisma AIRS Runtime Security product. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- 8 years of related experience with a Bachelor’s degree, or 6 years and a Master’s degree, or a PhD with 3 years experience, or equivalent experience
- Mastery of modern deep learning frameworks such as PyTorch and extensive hands-on experience with modern architectures (Transformers, LLMs)
- Proven experience with the modern LLM stack and a strong understanding of LLM guardrails and alignment techniques
- Demonstrated history of successfully transitioning complex AI research or prototypes into high-throughput, low-latency production systems at scale
- Advanced skills in Python and standard software engineering workflows, with experience deploying models using high-performance inference servers such as vLLM or Triton
- Exceptional ability to distill complex statistical and architectural concepts for non-technical stakeholders and partner effectively with cross-functional executive leadership


Source: 1752vc Careers, https://www.1752.vc/careers/jobs/palo-alto-networks-principal-applied-ai-researcher-prisma-airs/
