Sr. Staff Software Engineer (AI Platform)

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.

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 As a Sr. Staff Software Engineer (AI Platform), you will design, architect, and build intelligent software applications, agentic workflows, and production-ready LLM integrations across our product ecosystem. Leveraging cutting-edge AI technologies, you will engineer autonomous software agents, implement custom LLM pipelines, and integrate predictive analytics directly into core applications to automate complex operations. This role is pivotal in driving our next-generation software architecture by bridging state-of-the-art AI model capabilities with scalable application environments.

Architect AI-Driven Systems: Design and build production-grade software applications, agentic workflows, and custom LLM integrations using Python, TypeScript, or Go. Engineer Autonomous Agents: Develop intelligent, self-executing software agents to automate complex operational tasks, drift detection, and application workflows. Integrate Predictive Analytics: Leverage predictive machine learning models to analyze application performance, system behavior, and operational spend patterns in real time. Build Next-Gen Observability & Security Tools: Implement intelligent observability frameworks and AI-driven automation for automated auditing and code/vulnerability patching via LLM interfaces. Bridge AI & Platform Architecture: Partner closely with Core AI/ML teams to translate frontier models into high-availability, high-throughput software services. Design Root Cause Analysis Workflows: Architect internal AI agents and diagnostic tools for automated Root Cause Analysis (RCA) and system Qualifications 6+ years of experience in Software Engineering, Platform Engineering, or Distributed Systems with a Bachelor’s degree in a technical field. 2+ years of hands-on experience building AI software, integrating LLMs, or developing predictive analytics into production applications. Proven track record with LLM APIs & SDKs (OpenAI, Anthropic, Google Vertex AI, AWS Bedrock) alongside practical prompt engineering and agent framework development. Strong software engineering fundamentals in Python, TypeScript (Node.js), or Go. Deep understanding of software architecture , asynchronous programming, distributed systems design, and performance tuning.

(Nice to Haves) Experience with multi-cloud infrastructure (AWS, Azure, GCP) and Infrastructure-as-Code tools (Pulumi, AWS CDK, Terraform). Deep understanding of Kubernetes, service meshes, and cloud-native networking dynamics. Background in Linux internals, low-level system performance tuning, or core SRE practices. Experience building intelligent CI/CD delivery pipelines (GitHub Actions, GitLab CI) with AI-assisted code reviews. Certified