Forward Deployed Engineer, Generative AI, Google Cloud

Google LLC; Singapore; Presencial; SGD 180.000 - 260.000; Jornada completa

Descripción de la vacante

Google LLC in Singapore is seeking a GenAI Forward Deployed Engineer to bridge frontier AI products into production-scale, customer-embedded solutions. You will code, debug, and ship bespoke agentic systems directly within customer environments, tackling integration, data readiness, and state-management challenges to achieve enterprise-grade AI maturity.

As part of the Go‑To‑Market team, you will collaborate with DeepMind engineers and leverage Vertex AI and Gemini models to deliver high-value

Formación

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 5 years of experience with software development using Python or a similar coding language.
• Experience architecting AI systems on cloud platforms (e.g., Google Cloud Platform).
• Experience building pipelines for structured and unstructured data using vector databases and RAG-like architectures to power enterprise AI solutions.
• Experience taking production-grade AI-driven solutions from conception to launch for customers.

Responsabilidades

• Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows that drive measurable ROI.
• 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.

Conocimientos

Python

AI systems on cloud

Production-grade AI

Educación

Bachelor’s degree in Engineering or Computer Science

Master’s degree or PhD in AI/CS

Herramientas

LangGraph

CrewAI

ADK

Descripción del empleo

X Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical 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.

About the job

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.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.

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. Translate technical concepts to non‑technical and executive Mandarin‑speaking audiences.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.