Embedded AI Engineer for Enterprise Cloud Deployments

Google Inc.; Singapore; On-site; SGD 150,000 - 210,000; Full time

Job summary

Google Cloud is seeking a Forward Deployed Engineer to bridge frontier AI products with production-grade reality within customer environments in Singapore. You will move beyond high-level architecture to code, debug, and ship bespoke agentic solutions while addressing data readiness, state-management, and integration challenges.

Join Google Cloud’s Go-To-Market team to leverage the world’s most advanced AI portfolio and collaborate with DeepMind engineers to solve customer challenges and shape

Qualifications

• Bachelor’s degree in Engineering, Computer Science, or related field.
• 5 years of experience with Python or similar languages.
• Experience architing AI on cloud platforms (GCP).
• Experience building pipelines with vector databases and RAG architectures.
• Experience taking AI solutions to production for customers.

Responsibilities

• Serve as a developer for complex AI applications transitioning prototypes to production-grade workflows.
• Architect and code the connective tissue between Google’s AI products and customer live infrastructure, including APIs, legacy data silos, and security perimeters.
• 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 and convert them into reusable modules or feature requests for engineering teams.

Skills

Python

AI systems architecture

GCP

RAG architectures

Production-grade AI

Education

Bachelor's degree in Engineering/CS or related

Tools

LangGraph

CrewAI

ADK

API integration

Job description

Google Cloud is seeking a Forward Deployed Engineer to bridge frontier AI products with production-grade reality within customer environments in Singapore. You will move beyond high-level architecture to code, debug, and ship bespoke agentic solutions while addressing data readiness, state-management, and integration challenges.

Join Google Cloud’s Go-To-Market team to leverage the world’s most advanced AI portfolio and collaborate with DeepMind engineers to solve customer challenges and shape