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

Palo Alto Networks

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$223,000–$306,500 / yr
Posted
91 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $204k
This role $265k
$133k most similar roles pay here $325k

This role pays more than 94% of similar roles. Most pay $172,425–$235,750 — the shaded band above. At the midpoint, this role pays about $265k versus about $204k for comparable roles.

Based on 240 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 34 open roles on FindRole.

Listed pay typically runs $159,000–$257,750 across 32 roles with salary data.

Most-posted roles

View all roles at Palo Alto Networks

At a glance

TL;DR · Senior Principal AI Software Engineer, IT Go-To-Market & Customer Experience

As a Senior Principal AI Software Engineer - IT Go-To-Market & Customer Experience, you will join the Information Technology team to lead the company's Generative AI transformation. You will act as a technical leader and architect, moving beyond traditional software engineering to design intelligent, agentic workflows that automate complex Go-To-Market business logic, customer support processes, and entitlement platforms. Your core responsibilities include building a proxy-first AI ecosystem for vendor independence, implementing LLM observability pipelines for cost and performance optimization, and developing multi-agent systems with Agent-to-Agent communication. You will also establish safety guardrails to prevent PII exposure and prompt injection attacks. The role requires expert proficiency in Python, extensive experience with Large Language Models like GPT-4, Llama 3, and Anthropic, and familiarity with orchestration frameworks and evaluation tools like LangSmith or Arize.

What you'll do

  • Architect a Proxy-First AI ecosystem and unified API to ensure vendor independence across multiple LLM providers.
  • Design and implement intelligent, agentic workflows to automate complex Go-To-Market business processes and customer support.
  • Build comprehensive observability pipelines to track trace-level data, prompt performance, and model latency for GenAI systems.
  • Develop automated evaluation frameworks using "LLM as a Judge" methodologies to ensure output quality and accuracy.
  • Implement robust security guardrails to prevent PII exposure, offensive content, and prompt injection attacks.
  • Create infrastructure to optimize costs by routing queries to the most appropriate models based on complexity.
  • Lead the development of multi-agent systems and agent-to-agent communication workflows for enterprise applications.

What we're looking for

  • Bachelor's degree or equivalent experience in Computer Science or a related field.
  • 12+ years of IT system architecture, design, and development experience (8+ with a Master's or 5+ with a PhD).
  • Proven track record of technical leadership in Agile/Scrum environments for large-scale implementations.
  • Expert-level proficiency in Python.
  • Extensive hands-on experience building applications using Large Language Models like Llama 3, GPT-4, and Anthropic.
  • Deep experience with Multi-Agent systems, Agent-to-Agent communication, and orchestration frameworks.
  • Experience partnering with business stakeholders to design workflows for Go-To-Market, sales, or support operations.
  • Familiarity with Java or Node.js for enterprise integration.

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