Director, Software Engineering - AI Applications
About the role
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 We are seeking a Director of Software Engineering to lead the development of next-generation Autonomous AI Agents for our Go-to-Market (GTM) and Customer Experience (CX) Applications Engineering team based in Bangalore . Key
Responsibilities Define the engineering vision and roadmap for Autonomous AI Agents that transform global GTM and CX workflows and operations. Lead and scale a high-performing software engineering organization delivering enterprise-grade autonomous agents and multi-agent systems using technologies such as LangGraph, AutoGen, CrewAI, Semantic Kernel, and AgentKit. Establish robust LLMOps and AI governance practices covering prompt management, vector databases, retrieval systems, evaluation frameworks, and hallucination mitigation. Partner closely with Product Management, Customer Experience, Sales Operations, Data Science, and Enterprise Architecture teams to align AI initiatives with business growth. Drive engineering excellence across architecture, reliability, scalability, observability, security, and operational readiness. Champion AI-assisted software engineering practices leveraging tools such as GitHub Copilot, Cursor, Claude Code, and internal developer copilots to modernize software delivery. Recruit, mentor, and develop engineering managers, architects, and senior engineers across globally distributed teams.