Senior Forward Deployed Engineer, Generative AI, Google Cloud (English) - Singapore

google asia pacific pte. ltd.; Singapore; On-site; SGD 180,000 - 230,000; Full time

Job summary

Google Asia Pacific Pte. Ltd. is seeking a Generative AI Forward Deployed Engineer (FDE) to bridge frontier AI products with real-world customer environments.

You will move from prototypes to production-grade agentic workflows, shipping bespoke solutions within client ecosystems and solving integration, data readiness, and state-management challenges. In this role, you will provide white-glove deployment of complex AI systems while feeding field insights back into Google Cloud’s roadmap,

Qualifications

• Bachelor’s degree or equivalent practical experience in engineering or CS.
• Experience taking production-grade AI solutions from conception to launch for customers.
• Experience architecting AI systems on cloud platforms (GCP).

Responsibilities

• Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows that drive ROI.
• Architect and code the connective tissue between Google’s AI products and customer live infrastructure, including APIs, data silos, and security perimeters.
• Build high-performance evaluation pipelines and observability frameworks to ensure accuracy, safety, and latency.
• Identify repeatable field patterns and transform them into reusable modules or product feature requests.
• Co-build with customer teams to ensure long-term success and translate technical concepts to Mandarin-speaking audiences.

Skills

Python programming

AI systems architecture

Cloud platforms (GCP)

Data pipelines

English communication

Education

Bachelor’s degree in Computer Science or related field

Master’s degree or PhD in AI/CS

Tools

LangGraph

CrewAI

ADK

Vector databases

RAG architectures

Job description

Product area

It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.

Job description

As a Generative AI (GenAI) Forward Deployed Engineer (FDE) at Google Cloud, you will be an embedded builder who bridges the gap between frontier Artificial Intelligence (AI) products and production-grade reality within customers. You will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity. You will serve a dual purpose: providing "white glove" deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.

Job responsibilities

• Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, Model Context Protocol (MCP) servers) that drive measurable return on investment.
• Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including Application Programming Interfaces (APIs), legacy data silos, and security perimeters as part of an expert team.
• Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
• Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for engineering teams.
• Be able to co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption. Translate technical concepts to non-technical and executive Mandarin-speaking audiences.

Minimum qualifications

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 5 years of experience with software development using Python or related coding languages.
• Experience taking production-grade AI solutions from conception to launch for customers.
• Experience architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP)).
• Experience building pipelines for structured and unstructured data using both vector databases and Retrieval-Augmented Generation (RAG)-like architectures to power enterprise AI solutions.
• Ability to communicate in English fluently in order to engage clients in the region.

Preferred qualifications

• Master’s degree or PhD in AI, Computer Science, or a related technical field.
• Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, Agent Development Kit (ADK)) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
• Experience leading technical discovery sessions.
• Knowledge of Large Language Model (LLM)-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.