Director, Software Engineering - AI Applications at Palo Alto Networks

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

22 Aug, 26

Salary

0.0

Posted On

24 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Agents, LLMOps, Vector Databases, RAG Architectures, LangGraph, AutoGen, CrewAI, Semantic Kernel, Cloud-Native Platforms, Microservices, Event-Driven Systems, SaaS, Azure, AWS, Google Cloud, Engineering Leadership

Industry

Computer and Network Security

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 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. Qualifications Required Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline. 15 or more years of software engineering experience, with at least 7 years leading large, globally distributed engineering organizations. Proven experience building AI copilots, autonomous agents, conversational AI, or enterprise automation platforms. Technical expertise in LLMOps, vector databases, RAG architectures, evaluation pipelines, and AI observability. Experience with frameworks such as LangGraph, Semantic Kernel, AutoGen, CrewAI, LangChain, or AgentKit. Proven experience building and scaling distributed, cloud-native enterprise platforms, microservices, and event-driven systems. Experience delivering enterprise-grade SaaS products or platforms supporting GTM, CRM, CX, or workflow automation domains. Strong experience with public cloud ecosystems such as Azure, AWS, or Google Cloud. Preferred Qualifications Proven experience building applications specifically designed for GTM motions, customer success, and support. Extensive knowledge of operational workflows, enterprise tools, and the opportunity-to-cash lifecycle. Familiarity with Responsible AI, AI governance, security, compliance, and privacy frameworks. Experience driving engineering productivity transformations using AI-assisted development tools. 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. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position. Please use this form to provide us with information that will help direct your request and find your data in all of our systems

Responsibilities

Lead the development of next-generation Autonomous AI Agents for GTM and CX applications in Bangalore. Define the engineering vision and scale a high-performing organization focused on enterprise-grade multi-agent systems and LLMOps governance.