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Principal AI Test Engineer - Prisma Access

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Palo Alto Networks

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Location:
United States , Santa Clara

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

147000.00 - 237500.00 USD / Year
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Job Description:

We are seeking an AI-savvy Principal QA Test Engineer to transform how we test and validate Prisma Access Services. As a technical leader, you will design and implement autonomous QA workflows that leverage AI to achieve unprecedented test coverage, efficiency, and defect detection. You will take ownership of quality outcomes, mentor teams, and drive innovation in how we approach testing at scale.

Job Responsibility:

  • Design and implement autonomous QA workflows using AI agents and LLM-based frameworks to achieve continuous, intelligent test execution across multiple services
  • Develop AI-augmented test infrastructure enabling scalable, context-aware testing that reflects real-world deployment scenarios
  • Build AI-powered test generation systems that automatically create comprehensive test suites from requirements, specifications, and production telemetry
  • Participate in system design to ensure quality, observability, and testability are built-in throughout the feature development lifecycle
  • Provide technical leadership in browser security, cloud orchestration, distributed systems, and AI-assisted quality engineering across multi-team quality initiatives
  • Mentor junior and mid-level engineers on AI/ML testing techniques, prompt engineering, and modern quality practices
  • lead adoption of new testing methodologies and measure impact
  • Collaborate with Development, SRE, Product Management, and Technical Marketing to align quality strategy with business outcomes
  • influence peers without authority to establish quality standards
  • Stay current with AI/ML advancements and translate them into practical testing innovations (agentic workflows, multimodal testing, AI-powered observability)
  • experiment with emerging tools and drive team adoption of proven practices

Requirements:

  • 10+ years of experience in QA/Test Automation Engineering with demonstrated impact on product quality and team practices
  • 2+ years of hands-on experience with AI/ML technologies, including LLMs, prompt engineering, and AI-assisted development workflows
  • Proven track record of building autonomous testing systems or AI-powered quality engineering tools
  • Deep expertise in cybersecurity, cloud networking, or distributed systems test
  • Strong proficiency in Python and/or Go for test automation and AI workflow development
  • Hands-on experience with LLM frameworks and AI model integration
  • Expertise in REST API testing, web UI automation (Selenium, Playwright, Puppeteer), and cloud-native application testing
  • Experience with browser security solutions: enterprise browsers, remote browser isolation, browser extensions
  • Strong understanding of networking fundamentals: TCP/IP, DNS, routing, VPN technologies, and firewall concepts
  • Knowledge of SASE (Secure Access Service Edge) architecture and Zero Trust Network Access (ZTNA) principles
  • Experience with cloud providers (AWS, Azure, GCP) and network security protocols and cloud networking architectures (VPCs, subnets, security groups, NAT)
  • Knowledge of microservices architecture, distributed systems testing, and performance optimization
  • Hands-on experience with AI-powered test generation, intelligent test selection, and autonomous test execution
  • Experience building RAG pipelines, vector databases, and knowledge graphs for test intelligence
  • M.S./B.S. degree in Computer Science, Electrical Engineering, or equivalent military experience required
What we offer:
  • restricted stock units
  • bonus

Additional Information:

Job Posted:
March 25, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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