Forward Deployed Engineer V, GenAI, Google Cloud

Google Inc.; Singapore; On-site; SGD 180,000 - 280,000; Full time

Job summary

Google Cloud seeks a Generative AI Forward Deployed Engineer to bridge frontier AI products and production-grade reality inside customer environments. You will code, debug, and ship bespoke agentic solutions as a builder-consultant with high agency.

You'll embed with accounts, tackle data readiness, state management, and integration challenges, delivering white-glove deployments while informing Google Cloud's product roadmap.

Qualifications

• Bachelor’s degree in STEM or related field or equivalent practical experience.
• 8 years of experience shipping production-grade AI-driven solutions.
• Experience building full-stack solutions interfacing with enterprise systems.
• Experience in Python.
• Experience architecting AI systems on cloud platforms.
• Experience leading technical discovery sessions with executive stakeholders and engineering teams to define AI and hardware infrastructure requirements.

Responsibilities

• Lead the 'Discovery-to-Deployment' journey, as the lead developer for AI applications transitioning prototypes to production-grade agentic workflows.
• Bridge the enterprise gap by architecting and coding the connective tissue between Google's AI products and customers' live infrastructure, including APIs, data silos, and security perimeters.
• Engineer for production excellence, building high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet accuracy, safety, and latency requirements.
• Act as a product catalyst, identifying repeatable field patterns and friction points in Google's AI stack and converting them into reusable modules or product feature requests.
• Drive regional leadership and upskilling by mentoring talent and collaborating with customer teams to raise organizational technical capabilities.

Skills

Python

AI systems architecture

Full-stack integration

Executive stakeholder engagement

Education

Bachelor’s degree in STEM or related field

Master’s degree or PhD in AI/CS

Tools

LangGraph

CrewAI

Google's ADK

Job description

Qualifications

• Bachelor’s degree in Science, Technology, Engineering, Mathematics, a related technical field, or equivalent practical experience.
• 8 years of experience shipping production-grade AI-driven 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.
• Experience leading technical discovery sessions with executive stakeholders (C-suite) and engineering teams to define AI and hardware infrastructure requirements.

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 ADK) and patterns like ReAct, self-reflection, and hierarchical delegation.
• Knowledge of "Large Language Model-native" metrics (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. Unlike traditional advisory roles, you will function as a "builder-consultant," moving beyond architecture to code, debug, and jointly ship bespoke agentic solutions. This role is designed for high-agency engineers with a founder’s mindset. You will solve the integration complexities, data readiness, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will provide "white glove" deployment and act as a critical feedback loop for Google Cloud’s future product roadmap.

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 MCP 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 the Engineering teams.
• Drive regional leadership and upskilling by mentoring talent, co-building with customer teams, and influencing cross-functional strategies to uplevel 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.