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Sr IT AI Software Engineer

Job in San Jose, Santa Clara County, California, 95025, USA
Listing for: Palo Alto Networks, Inc.
Full Time position
Listed on 2026-11-01
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 145000 - 236000 USD Yearly USD 145000.00 236000.00 YEAR
Job Description & How to Apply Below
Position: Sr Staff IT AI Software Engineer
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

Our Customer Support Tools team in IT at Palo Alto Networks is at the core of our business and is a true differentiator. We enable our employees and business to be successful, and our focus is on the next generation of IT - cloud, mobile, and social. We are a team of disruptors, challenging the status quo and looking for new and better ways to solve problems.

We are a team of doers, getting things done and driving change from the ground up. We are a team of partners, collaborating with the business to help them achieve their goals. We are a team that is passionate about our work and our mission. We are looking for like‑minded individuals to join our team and help us continue to make a difference.

We are seeking a dynamic Staff AI Software Engineer to lead the design and delivery of our next generation scalable services. Leveraging Python, Django, FastAPI, React, and GraphQL within Google Cloud Platform, you will evolve our core architecture and drive our transition into AI-native engineering. As a technical leader, you will ensure our systems—including traditional microservices and emerging agentic workflows are resilient, scalable, and innovative

Key Responsibilities
  • Drive the strategic architectural vision and deployment of high-quality, scalable software assets using Python and React, ensuring long-term alignment with enterprise architecture.

  • Architect and govern advanced agentic systems using the Vertex AI Agent SDK (or alternative frameworks like Lang Chain / Lang Graph) and A2A protocols to enable seamless interoperability between autonomous enterprise services.

  • Establish enterprise-wide AI Evaluation (Evals) frameworks and automated benchmarking pipelines to rigorously measure, monitor and optimize LLM/agent performance across metrics like accuracy, safety, latency, and cost.

  • Define the organizational strategy and architecture for data retrieval pipelines, ensuring scalable and optimized utilization of vector embeddings, semantic search, and similarity-based retrieval patterns.

  • Establish enterprise‑wide prompt engineering standards and LLM security frameworks, safeguarding applications against vulnerabilities such as prompt injection through robust input/output validation models.

  • Standardize and scale Model Context Protocol (MCP) servers to effectively bridge core enterprise IT data with LLM-driven applications across business units.

  • Partner closely with technical executives, product management, and cross‑functional engineering teams to align AI initiatives with overarching business…

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