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Google

Security Engineer II, Enterprise Security AI

Google

Published 14 May 2026
Singapore
Full Time
27500 - 275000 people

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Role Highlights

Languages used

Python
GO
SQL
JavaScript

Key skills

AI
Code Reviews
Data Protection
Security Engineer
Network Security
Threat Modeling
Modelling
Authentication
Infrastructure

Tools, Libraries and Frameworks

Ruby On Rails

Description

The role involves delivering technical contributions to enterprise security projects aimed at protecting data from risks associated with artificial intelligence products. The engineer will assist teams in securing AI-related features and products by assessing enterprise security controls. Responsibilities include defining and validating paths that guide secure AI development and use across the company. The individual will perform security assessments and threat models for first-party and third-party AI agents. Additionally, the role requires proposing technical guardrails to prevent unauthorized agentic AI actions and collaborating with team members on escalations and remediation.

Required Qualifications and Skills

Candidates must possess a Bachelor's degree or equivalent practical experience. At least one year of experience is required in security assessments, security design reviews, or threat modeling. Additionally, one year of experience coding in programming languages such as Python, Go, SQL, or JavaScript is necessary. The role also requires a background in security engineering, computer and network security, and security protocols.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Google

Size

275773

Website

goo.gle

HQ

Mountain View, US

Public/Private

Public Company

Description

At gTech's Users and Products team, innovations are focused on enhancing user engagement and solving complex customer needs through technical expertise and a deep understanding of Google's and Alphabet's broad product environments. The team acts as a bridge between Google’s users and its product teams, ensuring that user insights are integrated into product offerings which support numerous annual product launches. The newly formed Machine Learning Data Operations (MLDO) team within gUP Operations plays a critical role in delivering and tuning machine learning and GenAI data operations across Google’s product suite, leveraging extensive global vendor networks. Google's overarching goal is to create impactful products and services, with gTech playing a strategic role in bringing these solutions to fruition through technological and operational expertise.

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