Sr Staff IT AI Software Engineer
- Compensation
- Not disclosed
- Location
- Office - USA - CA - Headquarters
- Work setup
- Not specified
- Seniority
- Staff
- Employment
- Full time
- Experience
- 9+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- Minimum of 9 years of related experience with a Bachelor's degree in Computer Science or a related field, or equivalent military experience.
- 9+ years of professional experience in backend development with Python, utilizing frameworks like Django or FastAPI to design and build fault-tolerant microservice architectures.
- Proven track record of architecting, deploying, and scaling production-grade Generative AI and LLM-powered applications.
- Hands-on experience with LLM orchestration and agentic frameworks (e.g., LangChain, LangGraph, or native cloud Agent SDKs).
- Deep technical expertise in RAG architectures, including vector embeddings, semantic search, and working with vector databases.
- Demonstrated experience implementing LLM guardrails, prompt injection defenses, and robust AI evaluation (Evals) workflows.
- Demonstrated expertise in frontend development with JavaScript, TypeScript, and React.
- Expert-level proficiency in containerization and orchestration using Docker and Kubernetes (GKE).
- Proven track record of architecting and delivering enterprise-grade software solutions from concept to production at scale.
Nice to have
- Deep, hands-on experience with Google Cloud Platform, particularly Google Vertex AI.
- Production-level knowledge of Agent SDK, LangChain, or LangGraph frameworks, as well as A2A protocols and the implementation of MCP servers.
- Experience integrating and scaling Agentic IDEs (e.g., Cursor, Windsurf) within professional development workflows.
- Master's degree or PhD in Computer Science or a related field.
Full description
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 LangChain / LangGraph) and A2A protocols to enable seamless interoperability between autonomous enterprise services.