Senior Principal AI Software Engineer - IT Go-To-Market & Customer Experience

Palo Alto Networks

Actively hiring Posted today Verified listing
Santa Clara, CA Posted 1 day ago $223,000–$306,500 / year
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Market check

Salary context

Above market

How this pay compares to similar roles

Similar $220k
This role $265k
$164k most similar roles pay here $322k

This role pays more than 89% of similar roles. Most pay $194,000–$246,150 — the shaded band above. At the midpoint, this role pays about $265k versus about $220k for comparable roles.

Based on 239 similar postings.

Employer

About Palo Alto Networks

Palo Alto Networks is a global cybersecurity company offering network security, cloud security, and endpoint protection solutions.

Palo Alto Networks currently has 31 open roles on FindRole.

Listed pay typically runs $155,000–$251,000 across 29 roles with salary data.

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At a glance

TL;DR

As a Senior Principal AI Software Engineer at Palo Alto Networks’ Information Technology team, you will lead the architectural development of advanced business applications focused on Generative AI transformation for Go-To-Market and customer experience processes. Your daily responsibilities include designing an agentic AI ecosystem with a unified API layer to ensure vendor independence and seamless integration between various LLMs like GPT-4 and Anthropic. You will also implement comprehensive observability pipelines, optimize performance, and establish robust security guardrails to protect against adversarial attacks. The role requires expertise in Python, extensive experience with Large Language Models, and a deep understanding of Multi-Agent systems. This position is ideal for someone passionate about shaping the future of IT in a fast-growing cybersecurity company, where you will work on cutting-edge projects that set industry standards.

Skills

Python LLMs Multi-Agent Systems Agile Scrum Large Language Models API Design Observability Pipelines OpenTelemetry LangSmith Arize HoneyHive Java Node.js CI/CD

What you'll do

  • Lead the design and implementation of an AI Gateway intermediary layer for vendor independence.
  • Build a unified API endpoint to abstract complexities of individual LLM providers.
  • Implement comprehensive observability pipelines for GenAI to track trace-level data.
  • Create architecture that optimizes performance by routing simpler queries to cost-effective models.
  • Integrate observability data into the development cycle to identify real-time bottlenecks and model drift.

What we're looking for

  • 12+ years of IT system architecture and development experience or equivalent.
  • Proven technical leadership in Agile environments with large-scale project delivery.
  • Expert proficiency in Python and hands-on experience with LLMs like GPT-4.
  • Extensive experience building applications using Multi-Agent systems and A2A communication.
  • Bachelor’s degree in Computer Science or related field required; advanced degrees preferred.
  • Deep understanding of AI observability, performance optimization, and security governance.
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