# Principal AI Engineer - AI Ops 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: Office - USA - CA - Headquarters
- Work setup: On-site
- Posted: 2026-10-28
- Apply by: 2026-12-12
- Apply: https://paloaltonetworks.wd5.myworkdayjobs.com/en-US/panwexternalcareers/job/Office---USA---CA---Headquarters/Principal-AI-Engineer_JR-023574-1?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/palo-alto-networks-principal-ai-engineer-ai-ops/

## About the role

Are you ready to make a significant impact in the tech world? We are on the hunt for a Principal AI Engineer who thrives on pushing boundaries and architecting next-generation AI platforms. As a strategic technical leader on our team, you'll be at the helm of designing, developing, and deploying enterprise-grade AI applications, real-time agentic workflows, and complex data-driven reasoning platforms that scale effortlessly across global workloads. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- Experience: 9+ years of software engineering experience with 4+ years of hands-on experience designing and delivering production-grade AI/LLM features, RAG platforms, and agentic architectures
- GCP & Cloud Native: Extensive hands-on experience with Google Cloud Platform (GCP) services, including Vertex AI, BigQuery, DataFlow, BigTable, and GKE
- Core Languages: Mastery in Python and Java/Scala with a strong focus on high-throughput, latency-sensitive, and fault-tolerant system design
- Streaming & Messaging: Expert knowledge of distributed event streaming platforms (Google Pub/Sub, Kafka) and asynchronous event-driven system architecture
- Security & Governance: Deep understanding of data privacy, prompt injection prevention, access control, encryption, and governance in enterprise cloud AI environments
- Containerization: Advanced knowledge of Kubernetes (GKE), service meshes, and microservices architecture


Source: 1752vc Careers, https://www.1752.vc/careers/jobs/palo-alto-networks-principal-ai-engineer-ai-ops/