The Lead AI Analytics Engineer, Trust and Safety owns the design of advanced data infrastructure and orchestration layers for autonomous AI agents within the Integrity team. Responsibilities include leveraging expansive datasets to protect users from fraud, identity abuse, and safety violations while driving an aggressive transformation toward autonomous agentic workflows. Candidates must possess technical expertise in building data infrastructure and analytics systems for risk detection and mitigation.
Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility. The Integrity team is dedicated to Trust, Identity, and Safety, safeguarding our users & transactions on Grab. We leverage our expansive datasets to address critical challenges, protecting millions of users from sophisticated fraud, systemic identity abuse, and severe safety violations. Today, we are undertaking an aggressive transformation to become a "CybOrg"—moving away from manual data analysis towards an autonomous state where highly resilient, autonomous agentic workflows redefine how we detect and mitigate risk at scale. We rely on our technical builders to architect the advanced data infrastructure and orchestration layers that give our AI agents their "brains" and keep Grab ahead of evolving threats.
Unlock the full job description
Create a free account to read every duty and requirement, and to contact the employer directly.