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Principal Technical Product Engineer - Agentic AI & Automation; Cortex

Job in California, Moniteau County, Missouri, 65018, USA
Listing for: Palo Alto Networks
Full Time position
Listed on 2026-09-22
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 163200 - 264000 USD Yearly USD 163200.00 264000.00 YEAR
Job Description & How to Apply Below

Our Mission

At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real‑world problems with cutting‑edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.

Who

We Are

In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values:
Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real‑world problems and ideating beside the best and the brightest, we invite you to join us! This role is remote, but distance is no barrier to impact.

Our hybrid teams collaborate across geographies to solve big problems, stay close to our customers, and grow together. You will be part of a culture that values trust, accountability, and shared success where your work truly matters.

Job Summary

Role Overview

As a Principal Technical Product Engineer (TPE) specializing in Agentic AI & Automation, you will serve as a technical authority on how AI agents, automation, orchestration, and security intelligence can transform modern Security Operations Centers. You will bridge Product Management, Engineering, Field Engineering, and strategic customers to identify high‑value automation opportunities, design agentic workflows, validate emerging capabilities, and demonstrate how AI can reduce operational friction, accelerate investigation and response, and enable security teams to operate at greater scale.

You will be expected to move beyond identifying opportunities—you will prototype, validate, operationalize, and scale successful use cases across customers and the broader organization.

Impact
  • Define technical strategy and reference architectures for Agentic AI, security automation, orchestration, and autonomous security workflows across the Palo Alto Networks platform.
  • Serve as a global SME on AI‑driven Security Operations, advising internal teams, strategic customers, and partners on emerging agentic capabilities and practical applications.
  • Identify repetitive, high‑friction, or high‑value security workflows that can be improved through automation, AI agents, orchestration, and intelligent decisioning.
  • Design and prototype agentic workflows that can automate or augment activities such as investigation, triage, enrichment, detection analysis, response, remediation, and operational reporting.
  • Build high‑quality technical content, demonstrations, proof‑of‑concept environments, reference architectures, and implementation guides that make emerging capabilities tangible for customers and field teams.
  • Partner directly with Product Management and Engineering to translate real‑world customer challenges into product requirements, roadmap priorities, and scalable capabilities.
  • Work directly with strategic customers to validate AI and automation use cases, measure outcomes, and identify repeatable patterns that can be applied across the customer base.
  • Develop frameworks for determining where AI should augment humans, where automation should execute independently, and where human approval remains essential.
  • Identify opportunities to integrate AI and automation across SIEM, SOAR, XDR, CNAPP, endpoint, identity, cloud, and other security workflows.
  • Help establish measurable business and operational outcomes for AI adoption, including reduced analyst workload, faster investigation and…
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