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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.
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.
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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 response, improved consistency, and increased security-team capacity.
Track emerging developments in Agentic AI, LLMs, AI security, autonomous systems, and security operations, translating them into practical opportunities for Palo Alto Networks customers.
Palo Alto Networks is a cybersecurity company. It develops platforms and services that help organizations protect networks, cloud environments, endpoints and security operations, and it also provides threat intelligence and incident response services.
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