Principal AI Engineer (Prisma Browser - Agents Platform)
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 The Prisma Browser group is building an agentic development lifecycle, an infrastructure of autonomous agents that work alongside our engineers to accelerate and improve how we build software. Our goal is to ship faster, with higher quality, and to continuously tighten the feedback loop between what the agents produce and what engineering actually needs. Over time, this system should compound: every improvement makes the next one easier to reach. Prisma Browser is an enterprise secure browser used by some of the largest organizations in the world. It's a complex, multidisciplinary product spanning browser core, frontend, extensions, and backend services, and it runs at scale for customers who need it to always work. The bar for what we ship is high. That means whatever agentic infrastructure we build has to meet the same standard. We're not here to vibe code our way to production. We're looking for an AI Engineer with a product builder's mindset. You have real experience with AI and agentic workflows, and you know how to take a complex project from idea to adoption, technically and organizationally. That means working across teams, aligning with security, infrastructure, and other engineering groups, and understanding that building the system is only half the job. Getting people to trust it is the other half. We aren't looking for a conventional senior developer; we need someone whose mindset is adapted to technical challenges that didn't even exist 18 months ago. Qualifications Your Impact Design and implement automated evaluation loops, static analysis, and rigorous quality gates to ensure the ADLC process doesn't just write code, but consistently produces great , production-ready code. Help the team tackle complex, hard problems to elevate our autonomous development product from "good" to "excellent". Lead complex initiatives in Context Engineering and Prompt Engineering. Manage and orchestrate the complex ecosystem of autonomous agents utilized for internal development. Serve as a leading individual in a very strong team professionally and personally - We’re looking for someone who not only delivers his own work but improves that of those around them. Find space for growth to push the entire team or group forward - New projects, changing processes or improving existing tools. View prompt engineering as a core engineering discipline—where rewriting agent behavior is a versioned, reviewed, and tested code change. Act with a debugging temperament; conduct deep-dive analyses of raw agent transcripts to diagnose non-deterministic failures and ascertain root causes instead of merely working around them. Your Experience At least 8+ years of experience in software development, architecture, or owning operational systems in production. Computer Science B.Sc. or equivalent education or equivalent military experience required. A product builder's mindset: you can extract requirements, talk to stakeholders, and tell the difference between what's important and what's noise. Experience in building production grade agents. Deep understanding of the agent loop, its states and transitions. You know how to build it correctly, not just use it. Positive ‘can-do’ mindset, able to work independently and within a team. Hands-on experience with LLM APIs, including a practical, highly-skeptical understanding of token costs, caching, context windows, and model failure points. You know how to build the right context for a task, including memory systems, session storage, and vector databases. You understand where LLMs fail and how to design around those failure points. You've used traces or observability tooling to diagnose and improve agent behavior. A systems-level background that touches reliability, observability, or platform engi