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# IT Automation & AI Engineering

- **Company:** Palo Alto Networks
- **Location:** United States
- **Experience:** Experienced
- **Salary:** $144,200.0 - $233,200.0
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, AI Evaluation, Application Programming Interfaces (APIs), Artificial Intelligence, Mobile Application Development, Cloud Engineering, Cursor, Distributed Systems, Python (Programming Language), Node.Js, Search Technologies, Software Engineering, SQL Databases, TypeScript, Enterprise Data Management, Enterprise Software Applications, ReactJS, Retrieval-Augmented Generation, Large Language Models, Claude Code, Multi-Agent Systems, Prompt Engineering, Agentic-AI, Event Driven Architecture, AI Platforms, Kubernetes, Information Technology, Low Latency, Evaluation of Large Language Models, NestJS, Serverless Computing, Human in the Loop, Docker, Agent2Agent Protocol
- **Published:** October 10, 2026
- **Apply:** https://www.dice.com/job-detail/d03c0ddc-dfd7-4570-b735-a924384ab270

## About the Role

* 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.

## Description

* 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.