Sr Staff IT AI Software Engineer

Palo Alto Networks, Inc.; California; On-site; USD 145,000 - 236,000; Full time

Job summary

Palo Alto Networks, Inc. is seeking a dynamic Staff AI Software Engineer to lead design and delivery of scalable AI-native services.

You will leverage Python, Django, FastAPI, React, and GraphQL on Google Cloud Platform to evolve core architecture and drive AI adoption across the enterprise. As a technical leader, you will ensure resilience and performance of microservices and agentic workflows, mentor engineers, and partner with executives, product management, and cross-functional teams to

Qualifications

• Minimum 9 years of related experience with a Bachelor's degree in Computer Science or related field, or equivalent military experience.
• 9+ years of backend development with Python, using Django or FastAPI to design fault-tolerant microservices.
• Proven track record of architecting, deploying and scaling production-grade Generative AI and LLM-powered apps.
• Hands-on experience with LLM orchestration and agentic frameworks (LangChain, LangGraph, or native cloud Agent SDKs).
• Deep expertise in RAG architectures, vector embeddings, semantic search, and vector databases.
• Experience implementing LLM guardrails and prompt injection defenses and AI evaluation workflows.
• Frontend development experience with JavaScript, TypeScript, and React.
• Expert-level experience with Docker and Kubernetes (GKE).

Responsibilities

• Drive strategic architectural vision and deployment of scalable software assets using Python and React.
• Architect and govern agentic systems with LangChain/LangGraph and A2A protocols for interoperability.
• Establish AI evaluation frameworks and pipelines to measure performance, latency, and cost.
• Define data retrieval pipelines with vector embeddings and semantic search.
• Establish enterprise-wide prompt engineering standards and LLM security practices.
• Scale MCP servers to bridge IT data with LLM-driven apps across units.
• Collaborate with executives, product management, and cross-functional teams to align AI initiatives.
• Mentor technical leaders and engineers in full-stack and AI domains.
• Take accountability for cross-team outcomes, ensuring enterprise-grade security and quality.

Skills

Python

Django/FastAPI

React/Frontend JS

LLM orchestration

Agent frameworks

RAG architectures

Vector embeddings

LLM guardrails

Evals

Microservice architecture

Education

Bachelor's degree in Computer Science or related field

Master's degree or PhD in Computer Science or related field

Tools

Docker

Kubernetes (GKE)

Google Cloud Platform

Vertex AI

LangChain

LangGraph

Agent SDKs

Job 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.

• 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 objectives and drive high‑impact results.

• Mentor and cultivate technical leaders and engineers across the organization, fostering a culture of excellence, applied learning, and accountability in full-stack and AI domains.

• Take ultimate accountability for cross‑team project outcomes, ensuring AI and software solutions meet rigorous enterprise‑grade standards for security, quality, and performance.

Qualifications

• 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.

Preferred Qualifications

• 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.

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.

$145,000.00 - $235,500.00/yr

Our Commitment

We're trailblazers that dream big, take risks