Staff AI Engineer at Palo Alto Networks in Office - India - Bangalore Bagmane Tech Park
- Company: Palo Alto Networks
- Location: Office - India - Bangalore Bagmane Tech Park
- Posted: Sep 17, 2026
- Type: Full-time
- Experience: 10+ years
Overview
Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging an…
Job description
- Our Mission
- At Palo Alto Networks® everything starts and ends with our mission:
- Being the cybersecurity partner of choice, protecting our digital way of life.
- Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are.
- 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.
- Your Career
- As an Staff IT Software Engineer, you’ll design, build, and support enterprise-grade software solutions that power Palo Alto Network’s teams and operations. You will transform complex business needs into scalable, secure, and reliable systems – leveraging AI-first engineering practices from day one.
- You will work closely with Product Managers and business stakeholders across functions like Sales, Global Customer Support, R&D, Finance, and People (HR). You’ll own the full project lifecycle from building an architecture, Design and Development through deployment, observability, and continuous improvement ensuring IT systems are ready for the AI-driven future.
- Your Impact
Responsibilities
- Partner with Product Managers and business stakeholders to translate enterprise requirements into technical solutions that are scalable, secure, and aligned to strategic goals.
- Apply AI first engineering capabilities including prompt engineering, AI-assisted coding, and agentic workflows to accelerate development, testing, and operational support.
- Design and implement software solutions across IT platforms, using modern architectures and AI tools to optimize performance and reliability.
- Develop maintainable, high-quality code, using AI-augmented coding tools (e.g., Cursor, Cody) while validating outputs for security and compliance.
- Debug and resolve system issues using structured troubleshooting and AI-assisted diagnostics to reduce downtime and improve user experience.
- Participate in rigorous code reviews, including evaluation of AI-generated code, ensuring quality, security, and adherence to IT coding standards.
- Contribute to automation of testing, deployment, and monitoring processes in a DevOps/CI-CD environment.
- Continuously explore and integrate emerging technologies, frameworks, and methods to keep IT systems future-ready.
Requirements
- 7–10 years of hands-on software engineering experience using core First Principles AI.
- Proficiency in one or more modern programming languages (e.g., Python, JavaScript/TypeScript, Java, Go, or similar).
- Data Interpretation & Quantitative Analytics
- AI Fluency in understanding of LLMs, MCP, Infrastructure requirements, IDEs like Claude, Cursor to generate the code, etc.
- SDLC understanding, DevOps/DevSecOps foundations, Version control (Git etc.)
- Understanding of software development lifecycle, DevOps principles, and version control.
- Enthusiasm for using AI tools, including Vibe coding (with tools like Cursor or Claude) and a growth mindset around learning and experimentation.
- Strong problem-solving and communication skills; a willingness to ask questions and work openly with others independently.
- A bias toward action and a desire to work in a fast-moving, forward-looking team.
- Experience with large language models (LLMs), building AI agents or AI/ML, integrating custom applications with 3rd party hosted systems (ex: SAP, SFDC, Workday, etc).
- Familiarity with cloud environments (GCP, AWS or Azure) and containerized development (e.g., Docker, Kubernetes).
- Exposure to enterprise SaaS platforms such as Salesforce, SAP, or ServiceNow
- Experience with modern developer tools such as CI/CD pipelines, observability platforms, and infrastructure-as-code.
Skills
Required
- Bias toward action
- Python
- JavaScript/TypeScript
- Java
- Go
- LLMs
- MCP
- AI agents
- AI/ML
- Prompt engineering
- AI-assisted coding
- Agentic workflows
About Palo Alto Networks
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. 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. Our IT engineering delivers the enterprise technology backbone that enables Palo Alto Networks to operate securely and efficiently at scale. We’re embedding AI into our engineering practices to design future-ready systems, accelerate delivery, and improve outcomes for every business function we support.