Principal Engineer, Agentic AI, App and EcoSystem Safety

• Drive the technical vision, multi-year roadmap, and execution strategy for Google’s transition to autonomous defense, ensuring we can scale our defenses ahead of emerging AI-driven threats.
• Define what "agentic safety" means at Google, creating safety guardrails, policy engines, and architectures to secure environments where AI agents interact with each other and connect to MCP servers and various applications.
• Apply deep AI and machine learning skills to build production-ready, real-world security applications to automate malware detection and content abuse identification across the Google Play Store and Android ecosystem.
• Serve as the technical lead for the APAC region, providing technical guidance, architectural oversight, and coaching to engineers in Singapore and teams in India.
• Provide technical oversight and define the daily work for the local Singapore-based engineering team in partnership with their direct people manager.

Minimum qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience.
• 15 years of experience in software engineering.
• 8 years of experience in a technical engineering or architectural leadership role.
• Experience designing, building, and protecting large-scale, distributed systems.
• Technical experience in AI/ML technologies, particularly in deep learning, Natural Language Processing (NLP), or Agentic AI systems.

Preferred qualifications:

• Master's degree or Ph.D. in Computer Science, Computer Engineering, or a related technical field.
• Experience in the Trust and Safety and security domain, specifically in malware detection, endpoint security, operating systems (OS) or platform security.
• Experience providing technical direction, guidance, and coaching to distributed, global teams of engineers as an individual contributor (without direct people management authority).
• Strong track record of leading complex, cross-functional engineering projects and driving alignment across multiple organizations and regions (such as APAC and Mountain View).

• Bachelor's degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience.
• 15 years of experience in software engineering.
• 8 years of experience in a technical engineering or architectural leadership role.
• Experience designing, building, and protecting large-scale, distributed systems.
• Technical experience in AI/ML technologies, particularly in deep learning, Natural Language Processing (NLP), or Agentic AI systems.