Senior GenAI Forward-Deployed Engineer

Google; Singapore; On-site; SGD 180,000 - 280,000; Full time

Job summary

Google Cloud seeks a Staff Forward Deployed Engineer to embed with customers in Singapore, bridging frontier AI and production environments. You will own end-to-end engineering projects, diagnose integration challenges, and ship bespoke agentic solutions within customer environments.

You will work on deploying, scaling, and optimizing LLM-powered workflows, collaborating with Go-to-Market and engineering teams to deliver enterprise-grade AI capabilities at scale.

Qualifications

• Bachelor’s degree or equivalent experience in engineering or CS.
• 8 years of experience in cloud computing or a technical customer-facing role.
• Experience deploying, scaling, and debugging LLM/agent-based systems in production environments.
• End-to-end technical ownership of engineering projects with executive stakeholders.

Responsibilities

• Serve as a developer for complex AI apps, moving prototypes to production-grade agentic workflows.
• Architect and code the connective tissue between Google AI products and customer infrastructure.
• Design and deploy production-grade agentic developer workflows on Google Cloud's AI stack.
• Embed with customers' Staff Engineers to identify SDLC bottlenecks and define success metrics.
• Integrate Google's agentic systems into customers' ISV/tools leveraging MCP and A2A protocols.

Skills

Cloud computing

LLM deployment

Agent-based systems

Executive stakeholder

Production debugging

End-to-end ownership

Cost/latency profiling

Distributed systems

Education

Bachelor's degree in Engineering/CS

Tools

LangGraph

CrewAI

ADK

MCP

A2A

Job description

Google Cloud seeks a Staff Forward Deployed Engineer to embed with customers in Singapore, bridging frontier AI and production environments. You will own end-to-end engineering projects, diagnose integration challenges, and ship bespoke agentic solutions within customer environments.

You will work on deploying, scaling, and optimizing LLM-powered workflows, collaborating with Go-to-Market and engineering teams to deliver enterprise-grade AI capabilities at scale.