GenAI Forward-Deployed Engineer, Cloud AI

Google; Singapore; Híbrido; SGD 180.000 - 240.000; Jornada completa

Descripción de la vacante

Google Cloud is seeking a GenAI Forward Deployed Engineer to bridge frontier AI products with production-grade reality at customer sites. You will code, debug, and ship bespoke agentic solutions inside client environments, addressing data readiness, state management, and integration challenges.

In this high-autonomy role, you’ll collaborate with DeepMind minds and leverage Gemini models and Vertex AI to solve real business problems.

Formación

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.

Responsabilidades

• Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows that drive measurable return on investment.
• Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs and data silos.
• Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet accuracy, safety, and latency requirements.
• Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or feature requests for engineering teams.
• Be able to co-build with customer engineering teams to instill Google-grade development best practices, translating technical concepts to Mandarin-speaking audiences.

Conocimientos

Python

AI system architecture

Cloud platforms

Data pipelines (vector DBs, RAG)

Production-grade deployment

Mandarin communication

Educación

Bachelor’s degree in Engineering or CS

Master’s or PhD (preferred)

Herramientas

Google Cloud Platform (GCP)

Vector databases

RAG-like architectures

Descripción del empleo

Google Cloud is seeking a GenAI Forward Deployed Engineer to bridge frontier AI products with production-grade reality at customer sites. You will code, debug, and ship bespoke agentic solutions inside client environments, addressing data readiness, state management, and integration challenges.

In this high-autonomy role, you’ll collaborate with DeepMind minds and leverage Gemini models and Vertex AI to solve real business problems.