Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life.
gTech Risk helps protect Google and its users by identifying and implementing controls for significant risks. To ensure gTech's security and agility, the team analyzes gTech business processes to find control gaps, collaborates with stakeholders to resolve these gaps, and provides risk expertise to engineer solutions.
gTech Risk Solutions Engineering is transforming from a reactive manual process led organization to a proactive engineering powerhouse. Operating as a federated security partner to Google's central security organizations, we design and build contextualized security solutions tailored specifically for the gTech business ecosystem. Our mission is upfront risk prevention through technical delivery excellence, shifting the paradigm from unsustainable "risk-chasing" to "prevention by design."
In the AI Security function, you will serve as the core experts of our Functional Engineering pod (Strategy and Design). You will be the architectural mind behind understanding the risk implications of shifting gTech operations from human first to AI first. You will achieve this via gTech Risk's shift to automated prevention. You will own the overarching system design for autonomous risk identification, AI guardrails, and vulnerability auto-mitigation.
A central focus of your mandate will be architecting the security constraints for gTech's current and future operations. You will design the validation frameworks (including prompt injection resilience) for agentic platforms deployed on global configurations. You will act as the critical bridge to central teams, ensuring our local solutions conform to Google's general security policies while moving at the speed of gTech operations.
