Principal AI Test Engineer - Prisma Access

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!

We believe collaboration thrives in person. That's why most of our teams work from the office full time, with flexibility when it's needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.

Job Summary

YOUR CAREER

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.

YOUR IMPACT

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

Qualifications

Required Experience
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

Technical Skills
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