Forward Deployed Engineer, GenAI (Mandarin, English ) - Singapore

Google Inc.; Santo Niño 1st; On-site; PHP 1,800,000 - 3,000,000; Full time

Job summary

Google Cloud is seeking a Generative AI Forward Deployed Engineer to bridge frontier AI with production-grade reality at customer sites. You’ll code, debug, and ship bespoke agentic solutions, addressing data readiness, integration, and state-management challenges.

You will co-build with customer teams, ensure high-end performance, and communicate complex tech to Mandarin- and English-speaking stakeholders. Join us to drive enterprise AI adoption and impact.

Qualifications

• Bachelor’s degree or equivalent practical experience in engineering or CS.
• 2 years of software development experience in Python or similar language.
• Experience architecting AI systems on cloud platforms (GCP).
• Experience building data pipelines for structured/unstructured data (vector DBs, RAG).
• Experience shipping production AI solutions for customers.
• Proficient in Mandarin and English for client communication.

Responsibilities

• Develop complex AI applications transitioning prototypes to production-grade workflows.
• Code/connect Google AI products to live customer infrastructure via APIs and data silos.
• Build high-performance evaluation pipelines and observability for accuracy and latency.
• Identify repeatable field patterns and convert them into reusable modules or requests.
• Co-build with customer engineers to ensure best practices and long-term success.

Skills

Python

Cloud architecture

Mandarin proficiency

English proficiency

API integration

Education

Bachelor’s degree in Engineering or CS

Master’s or PhD in AI/CS (preferred)

Tools

LangGraph

CrewAI

Agent Development Kit (ADK)

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 are 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 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.

Qualifications

Job responsibilities

• Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI).
• Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including Application Programming Interface (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 executive and Mandarin-speaking audiences.

Minimum qualifications

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 2 years of experience with software development using Python or a similar coding languages.
• 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.
• Experience taking production-grade AI-driven solutions from conception to launch for customers.
• Ability to communicate in Mandarin and English fluently in order to support the clients in this region.

Preferred qualifications

• Master’s 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 Models (LLM)-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.