Sr Staff AI Engineer
Palo Alto Networks3 days ago
USA (city not specified)Staff+
Base Salary
$163k - $264k/yr
Responsibilities
- Set architectural vision and technical direction for AI-first enterprise applications and platforms across multiple business domains.
- Lead architecture and delivery of complex cross-team full-stack applications, cloud-native services, and applied AI systems.
- Establish reusable engineering standards, reference architectures, and shared capabilities for agentic workflows and RAG.
- Translate ambiguous, high-impact business problems into technical strategies and influence broader organizational direction.
- Drive AI-native development practices using tools such as Cursor and Claude Code.
- Mentor senior engineers and raise technical standards across the organization.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- At least 8 years of software engineering experience with technical leadership across complex, production-scale systems.
- Deep expertise in full-stack and distributed systems engineering.
- Experience setting architecture and technical direction across multiple services, applications, or engineering teams.
- Production experience building AI-integrated systems using LLMs, RAG, tool calling, and agentic workflows.
- Understanding of AI evaluation, guardrails, model reliability, security, latency, production observability, APIs, enterprise data, system integration, cloud-native architecture, and production operations.
- Ability to translate ambiguous business problems into technical architectures and execution strategies.
- Track record of establishing technical standards and influencing senior engineers and cross-functional stakeholders.
- Preferred experience with TypeScript, Node.js/NestJS, React, Python, SQL, RAG architectures, vector databases, semantic search, retrieval, and context engineering.
- Preferred experience with LangChain/LangGraph, MCP, A2A protocols, production agentic architectures, LLM security controls, prompt injection defenses, input/output validation, applied machine learning, data science, predictive modeling, statistical analysis, Docker, Kubernetes, event-driven systems, and modern cloud infrastructure.
- Preferred experience using Cursor, Claude Code, or Windsurf and building reusable enterprise platforms adopted across multiple teams.
Benefits
- Most teams work from the office full time, with flexibility when needed.
- Employee benefits are available through the company benefits program.
- Existing H-1B transfers may be considered, but new sponsorship and future sponsorship for OPT/CPT candidates are not available.
Tech Stack
Categories
About Palo Alto Networks
Palo Alto Networks builds cybersecurity products for enterprises and governments, including next-generation firewalls, cloud security (Prisma Cloud/Prisma Access), and SOC tools (Cortex). It sells subscriptions and appliances with cloud-delivered threat intelligence, securing networks, endpoints, and applications across data centers and public clouds. Founded in 2005 and headquartered in Santa Clara, California, the company is publicly traded on the NYSE under the ticker PANW.