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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Staff Software Engineer (AI Platform) - **Company:** Palo Alto Networks - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $153,700.0 - $248,600.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Software Applications, Application Performance Management, Computing Platforms, Microsoft Azure, Cloud Engineering, Code Review, Continuous Integration, Distributed Systems, Github, Python (Programming Language), Linux Kernel, Machine Learning, Node.Js, Performance Tuning, Software Architecture, Site Reliability Engineering Practices, Software Engineering, Systems Integration, TypeScript, AWS Cdk, Diagnostic Tools, Pulumi, Google Cloud, Delivery Pipeline, Large Language Models, Multi-Agent Systems, Prompt Engineering, Multi-Cloud, Build Management, AI Platforms, Gitlab-ci, Kubernetes, Infrastructure Automation Frameworks, Asynchronous Programming, Terraform - **Published:** September 17, 2026 - **Apply:** https://dejobs.org/x/x/251C0F78A9DE446C85D0410EDC6C5B30/job/ ## About the Role * 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. Preferred Qualifications (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 Kubernetes Administrator (CKA) or equivalent cloud architecture certifications. ## Description 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 ## Related Videos - [Why segmenting your infrastructure into tiers makes your infrastructure design better](https://www.wearedevelopers.com/videos/1960-why-segmenting-your-infrastructure-into-tiers-makes-your-infrastructure-design-better) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Building Reliable Serverless Applications with AWS CDK and Testing](https://www.wearedevelopers.com/videos/812-building-reliable-serverless-applications-with-aws-cdk-and-testing) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Unleashing Potential Across Teams: The Power of Infrastructure as Code](https://www.wearedevelopers.com/videos/930-unleashing-potential-across-teams-the-power-of-infrastructure-as-code) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) ## Related Articles - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Got AI ideas but no money? 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