Job Description & How to Apply Below
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
As the Director of Software Engineering – Gen AI & IT Licensing, you will be a hands-on change agent responsible for driving the transformation of our IT licensing and asset management platform through real-world Gen AI implementation. This role requires a leader who has built and deployed Gen AI applications in production, not just experimented with AI tools.
You will combine deep engineering expertise with practical Gen AI execution, leading a high-velocity, globally distributed engineering team focused on delivering intelligent, scalable, and resilient systems. This role is critical to optimizing software spend, modernizing our platform, and embedding AI-driven decision-making into our IT ecosystem, while building a strong engineering culture in our Bangalore office.
Key Responsibilities
- Act as the technical and architectural authority for the IT licensing and asset management platform, with the ability to dive deep into design, code, and system behavior when required.
- Lead the design, development, and deployment of Gen AI solutions across the platform, including LLM-powered workflows, intelligent automation, predictive analytics, and anomaly detection.
- Drive end-to-end Gen AI implementation, from problem framing and model selection to integration, deployment, monitoring, and iteration in production environments.
- Champion modern engineering practices, including cloud-native architectures, microservices, and AI-first system design.
- Lead and mentor engineering managers and senior engineers, fostering a culture of execution, accountability, adaptability, and continuous learning in a fast-changing AI landscape.
- Operate effectively in a high-pressure, high-velocity environment, balancing multiple competing priorities while maintaining delivery excellence.
- Own the operational health of the platform, embedding Dev Ops principles, reliability engineering, and observability into AI-enabled systems.
- Collaborate closely with finance, legal, and procurement teams to optimize software spend, ensure license compliance, and influence vendor strategy through data-driven insights. Serve as a trusted advisor to senior leadership, clearly articulating Gen AI strategy, trade-offs, risks, and outcomes to both technical and non-technical stakeholders.
Qualifications
Required Qualifications
- Bachelor’s degree with 15+ years of experience, or Master’s degree with 12+ years, or PhD with 8+ years in Computer Science, Engineering, or a related field.
- Proven leadership experience leading senior engineers and/or small, high-impact teams; managing very large organizations is not a requirement.
- Strong hands-on engineering background with experience designing and building complex, distributed systems (Java, C#, or equivalent enterprise technologies).
- Demonstrable experience building and deploying Gen AI applications in real-world environments, including:
- Working with LLMs, orchestration frameworks, and AI…
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