Principal AI Engineer - AI Ops
Listed on 2026-10-31
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Software Development
AI Engineer (Applied/Software), Software Architect
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.
WhoWe 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 SummaryAre you ready to make a significant impact in the tech world? We are on the hunt for a Principal AI Engineer who thrives on pushing boundaries and architecting next-generation AI platforms. As a strategic technical leader on our team, you'll be at the helm of designing, developing, and deploying enterprise-grade AI applications, real-time agentic workflows, and complex data-driven reasoning platforms that scale effortlessly across global workloads.
Our tech stack is as versatile as it is powerful, featuring Python, Java, Data Flow, Big Query, Big Table, Pub/Sub, Kubernetes, Vector Search Engine infrastructure, and enterprise AI orchestration frameworks—all natively integrated within the Google Cloud Platform (Vertex AI, GKE, Dataflow).
This isn’t just another coding job—this is your opportunity to define the long-term technical vision of our enterprise AI strategy, set standards for autonomous agent systems, and drive game-changing architectural transformations. You'll lead high-stakes technical directions, establish enterprise-wide AI design patterns, and mentor engineering teams across the organization. We're looking for visionary tech leaders and lifelong learners who are eager to bridge the gap between advanced AI capabilities and mission-critical production systems.
In our fast-paced, high-energy environment, cross-functional leadership is paramount. You'll collaborate closely with executive leadership, product leaders, security directors, and cross-functional engineering teams to turn ambitious AI initiatives into transformative, reliable products.
Your Impact- Architectural Leadership: Define and execute the technical strategy for enterprise AI, LLM deployment architectures, and multi-agent systems across the engineering organization.
- Agentic & Reasoning Systems: Design scalable multi-agent systems, autonomous decisioning engines, tool-use frameworks, and complex event-driven agentic workflows.
- Data & AI Infrastructure: Architect end-to-end streaming and batch data/embedding pipelines, hybrid search/RAG architectures, and vector indexing systems powering enterprise LLM features.
- Production Guardrails & Governance: Set enterprise standards for AI evaluation, observability, cost-performance optimization, safety guardrails, hallucination reduction, and security compliance.
- Technical Excellence: Mentor Senior Staff and Senior Engineers, establish code quality standards, and foster a culture of continuous AI innovation and research-to-production execution.
- Cross-Functional Influence: Partner with…
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