Senior Forward Deployed Engineer, GenAI, Google Cloud

Google LLC; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Google LLC in Singapore is seeking a Generative AI Forward Deployed Engineer to bridge frontier AI products with production-grade reality in customer environments. You will serve as an embedded builder, shipping bespoke agentic solutions and solving integration, data readiness, and state-management challenges.

Join a collaborative Go-To-Market team with access to frontier Gemini models and Vertex AI, driving enterprise AI adoption across customer environments.

Qualifications

• Bachelor’s degree or equivalent practical experience in a technical field.
• 8 years shipping production-grade AI solutions for external or internal customers.
• Experience building full-stack solutions interfacing with enterprise systems.
• Proficiency in Python and cloud-based AI architectures.

Responsibilities

• Lead the discovery-to-deployment journey for AI applications, from prototypes to production workflows.
• Bridge enterprise gaps by connecting Google AI products with customers’ live infrastructure.
• Design high-performance evaluation pipelines and observability for agentic systems.
• Identify repeatable patterns and convert friction points into reusable modules.
• Mentor regional talent and collaborate with customer teams to elevate technical capabilities.

Skills

Python

AI on cloud

Production-grade AI

Full-stack integration

Education

Bachelor's degree in STEM or equivalent

Job description

• Bachelor’s degree in Science, Technology, Engineering, Mathematics, a related technical field, or equivalent practical experience.
• 8 years of experience shipping production-grade AI solutions to external or internal customers.
• Experience building full-stack solutions that interface with enterprise systems.
• Experience in Python.
• Experience architecting AI systems on cloud platforms.

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, or Google’s Agent Development Kit (ADK)) and patterns like ReAct, self-reflection, and hierarchical delegation.
• Knowledge of large language model-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
• Ability to implement secure agentic workflows incorporating Model Context Protocol (MCP), tool-calling, and OAuth-based authentication.

About the job

As a Generative Artificial Intelligence (GenAI) Forward Deployed Engineer at Google Cloud, you will be an embedded builder who bridges the gap between frontier Artificial Intelligence (AI) products and production-grade reality within customer environments. You will function as a builder-consultant, moving beyond architecture to code, debug, and jointly ship bespoke agentic solutions. You will solve the integration complexities, data readiness, and state-management issues that prevent AI from reaching enterprise-grade maturity. You will serve a dual purpose: providing "white glove" deployment and acting as a critical feedback loop for 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.

About the job

As a Generative Artificial Intelligence (GenAI) Forward Deployed Engineer at Google Cloud, you will be an embedded builder who bridges the gap between frontier Artificial Intelligence (AI) products and production-grade reality within customer environments. You will function as a builder-consultant, moving beyond architecture to code, debug, and jointly ship bespoke agentic solutions. You will solve the integration complexities, data readiness, and state-management issues that prevent AI from reaching enterprise-grade maturity. You will serve a dual purpose: providing "white glove" deployment and acting as a critical feedback loop for 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

• Lead the discovery-to-deployment journey, serving as the lead developer for AI applications and transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems and Model Context Protocol servers) that drive measurable return on investment.
• Bridge the enterprise gap by architecting and coding the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters.
• Engineer for production excellence, building high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet the requirements for accuracy, safety, and latency.
• Act as a product catalyst, identifying repeatable field patterns and technical friction points in Google’s AI stack and converting them into reusable modules or product feature requests for engineering teams.
• Drive regional leadership by mentoring talent, co‑building with customer teams, and influencing cross‑functional strategies to up‑level organizational technical capabilities.

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.