Senior Forward Deployed Engineer, GenAI, Google Cloud - Singapore

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

Job summary

Google Cloud is seeking a Generative AI Forward Deployed Engineer to be embedded with customers, delivering production-grade AI solutions that bridge frontier AI products with real-world environments.

You will code, debug, and ship bespoke agentic workflows while addressing data readiness, state management, and security constraints, ensuring enterprise-grade reliability and performance.

Qualifications

• Bachelor’s degree in Science, Technology, Engineering, Mathematics, 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.

Responsibilities

• Lead the discovery-to-deployment journey as the lead developer for AI applications and transition prototypes to production-grade agentic workflows.
• Bridge the enterprise gap by architecting and coding the connective tissue between Google’s AI products and customer infrastructures.
• Engineer for production excellence with high-performance evaluation pipelines and observability for accuracy, safety, and latency.
• Act as a product catalyst by turning repeating field patterns into reusable modules or product requests.
• Mentor talent, partner with customer teams, and influence cross-functional strategies to uplift technical capabilities.

Skills

Python

Full-stack integration

Cloud architecture

AI systems delivery

Education

Bachelor’s degree in STEM or related field

Master’s degree or PhD preferred

Tools

LangGraph

CrewAI

Google ADK (Agent Development Kit)

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 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.

Job 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.

Minimum 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 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.