Principal Software Engineer (AI)

Palo Alto Networks • Santa Clara, CA

1d

About The Position

Your Career Prisma Access™ (formally GlobalProtect Cloud Service) provides protection straight from the cloud to make access to the cloud secure. It combines the connectivity and security you need - and delivers it everywhere you need it. Using cutting-edge public and private cloud technologies extending the next-generation security protection to all cloud services, customers on-premise remote networks and mobile users. We are seeking an experienced Software Engineers to design, develop and deliver next-generation technologies within our Prisma Access team. We want passionate engineers who love to code and build great products. Engineers who bring new ideas in all facets of software development. We are looking for leaders who take ownership of their areas of focus and who are driven to solve problems at every level. Collaboration and teamwork are at the foundation of our culture and we need engineers who can communicate at a high level and work well with others towards achieving a common goal. You will design and implement LLM orchestration pipelines, including prompt workflows and structured output generation.

Requirements

• Strong experience with LLM applications, backend architecture, and cloud services required.
• M.S./B.S. degree in Computer Science or related field or equivalent military experience required
• 8+ years' experience
• Excellent programming skills in Python or Golang
• Experience with GCP or AWS

Nice To Haves

• Networking/security or large-configuration-domain experience is a strong plus

Responsibilities

• Build scalable backend services in Python/Go running on GCP or AWS.
• Develop schema-driven data models and validation layers for complex configurations.
• Implement intelligent suggestion and recommendation components powered by AI.
• Design guardrails to ensure reliability, safety, and accuracy in AI outputs.
• Build RAG pipelines using vector search, embeddings, and document indexing.
• Optimize AI system performance for latency, cost, and correctness.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees