Forward Deployed Engineer, Generative AI, Google Cloud - Singapore

GOOGLE ASIA PACIFIC PTE. LTD.; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Google Cloud is seeking a GenAI Forward Deployed Engineer (FDE) to embed with strategic customers, translating frontier AI into production-ready solutions. You will code, debug, and ship bespoke agentic workflows directly inside client environments.

This role demands high ownership, problem-solving at scale, and close collaboration with Google's AI products and customer engineering teams to improve deployment maturity and business impact.

Qualifications

• Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practicality experience.
• 5 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 RAG-like architectures to power enterprise AI solutions.
• Experience taking production-grade AI-driven solutions from conception to launch for customers.

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.
• Architect and code the connective tissue between Google's AI products and customer's live infrastructure, including 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.

Skills

Python programming

Cloud AI deployment

Data pipelines

Production AI deployment

Education

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

Master's degree or PhD in AI/CS

Tools

LangGraph

CrewAI

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 GenAI Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, 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. This role is designed for high-agency engineers with a founder's mindset, and 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. By embedding with strategic accounts, 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.

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.
• Architect and code the connective tissue between Google's AI products and customer's live infrastructure, including 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.

Minimum qualifications

• Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practicality experience.
• 5 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 RAG-like architectures to power enterprise AI solutions.
• Experience taking production-grade AI-driven solutions from conception to launch for customers.

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, 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.