GenAI Forward-Deployed Engineer, Cloud AI

Google

Singapore

Hybrid

SGD 180,000 - 240,000

Full time

6 days ago
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Job summary

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.

Qualifications

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

Responsibilities

  • 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.

Skills

Python
AI system architecture
Cloud platforms
Data pipelines (vector DBs, RAG)
Production-grade deployment
Mandarin communication

Education

Bachelor’s degree in Engineering or CS
Master’s or PhD (preferred)

Tools

Google Cloud Platform (GCP)
Vector databases
RAG-like architectures

Job description

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.

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