IT Automation & AI Engineering

• Architect and deliver production AI-first enterprise applications across full-stack systems, cloud-native services, and applied AI.
• Design agentic and retrieval-based systems utilizing LLMs, RAG, embeddings, tool calling, and multi-step workflows.
• Establish robust practices for AI evaluation, guardrails, security, observability, reliability, latency, and cost management.
• Translate ambiguous business problems into scalable technical architectures and drive complex initiatives through production.
• Build reusable engineering patterns and shared capabilities applicable across multiple applications and development teams.
• Drive AI-native engineering practices using tools like Cursor and Claude Code while mentoring engineers and raising technical standards.

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.

• Senior: 5+ years of software engineering experience (or 3+ with a Master’s degree).

• Staff: 8+ years of software engineering experience (or 6+ with a Master’s degree, or 3+ with a PhD).

• Strong full-stack and distributed systems engineering experience with demonstrated ownership of complex production systems.
• Production experience designing and building AI-integrated systems using LLMs, RAG, embeddings, tool calling, or agentic workflows.
• Experience with AI orchestration, retrieval, evaluation, guardrails, human-in-the-loop workflows, and production observability.
• Strong understanding of APIs, enterprise data, cloud-native architecture, security, reliability, and production operations.
• Proven ability to translate ambiguous problems into clear technical architectures and influence technical direction.

Preferred Qualifications

• Proficiency in TypeScript, Node.js/NestJS, React, Python, and SQL.
• Experience with Vertex AI, LangChain/LangGraph, MCP, A2A protocols, or similar AI platforms and frameworks.
• Experience with vector databases, semantic search, context engineering, LLM evaluation, and AI security controls.
• Experience with Docker, Kubernetes, event-driven systems, and modern cloud infrastructure.
• Experience using AI-native development environments such as Cursor, Claude Code, or Windsurf in professional engineering workflows.
• Experience building reusable enterprise platforms or shared technical capabilities adopted across multiple teams.

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/com-missioned 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.

$144,200.00 - $233,200.00/yr

Our Commitment

We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.

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.