GenAI Forward-Deployed Engineer: Production-Grade AI

Google Inc.; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Google Cloud is seeking a Generative AI Forward Deployed Engineer in Singapore. You will embed with customers to move AI from prototypes to production-grade agentic systems, bridging Google's frontier AI products with customer environments.

You will code, debug, and co-create with customer engineering teams, addressing data readiness, state-management, and production blockers while shaping Google Cloud’s future roadmap and features.

Qualifications

• Bachelor’s degree in Engineering, Computer Science, or related field.
• 1 year of experience with software development using Python or similar languages.
• Experience architecting AI systems on cloud platforms (GCP).
• Experience building pipelines for structured and unstructured data using vector databases and RAG-like architectures.
• Experience taking production-grade AI solutions from conception to launch for customers.
• Ability to communicate in Thai and English fluently to support client relationship management in this region.

Responsibilities

• Serve as a developer for complex AI applications, transitioning prototypes to production-grade agentic workflows.
• Architect and code the connective tissue between Google’s AI products and customer live infrastructure.
• Build high-performance evaluation pipelines and observability frameworks for accuracy, safety, and latency.
• Identify repeatable field patterns and convert them into reusable modules or product feature requests.
• Translate technical concepts to non-technical executives and Thai-speaking audiences.

Skills

Python programming

Cloud architecture

Thai and English communication

Education

Bachelor’s degree in Engineering, Computer Science, or related field

Master’s degree or PhD in AI/CS (preferred)

Tools

GCP

LangGraph

CrewAI

ADK

Job description

Google Cloud is seeking a Generative AI Forward Deployed Engineer in Singapore. You will embed with customers to move AI from prototypes to production-grade agentic systems, bridging Google's frontier AI products with customer environments.

You will code, debug, and co-create with customer engineering teams, addressing data readiness, state-management, and production blockers while shaping Google Cloud’s future roadmap and features.