Staff Forward Deployed Engineer Developer AI Google Cloud

Google; Mumbai; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Google Cloud is seeking a GenAI Forward Deployed Engineer who bridges frontier AI products with production-grade reality inside customer environments. You will move beyond architecture to code, debug, and ship bespoke agentic solutions directly at client sites.

You will embed with engineering teams, tackle data readiness and state-management challenges, and own end-to-end deployment, testing, hardening, and long-tail reliability.

Qualifications

• 8+ years in cloud computing or technical customer-facing roles
• Experience deploying, scaling, debugging LLM/agent-based systems in production
• Bachelor’s degree in Engineering/CS or equivalent practical experience
• End-to-end technical ownership of engineering projects with executive stakeholders

Responsibilities

• Serve as a developer for complex AI applications, moving prototypes to production-grade agentic workflows
• Architect and code the connective tissue between Google AI products and customer data/infrastructure
• Design and deploy production-grade agentic developer workflows on Google Cloud AI stack
• Embed with customer staff engineers to identify SDLC bottlenecks and define success metrics
• Integrate Google’s agentic systems into customer ISV tools using MCP/A2A protocols

Skills

Cloud computing

Executive stakeholder management

Production ownership

Agentic systems design

Education

Bachelor’s degree in Engineering/CS or related field

Master’s or PhD in AI/CS or related field

Tools

LangGraph

CrewAI

ADK (Agent Development Kit)

MCP

A2A (Agent-to-Agent)

ServiceNow

Job description

Job Description

For Singapore applicants:

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

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Singapore; Bengaluru, Karnataka, India; Gurugram, Haryana, India; Mumbai, Maharashtra, India.

Minimum qualifications

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


• 8 years of experience in cloud computing or a technical customer-facing role.


• Experience deploying, scaling, and debugging Large Language Model (LLM) or agent-based systems in production environments (including tools, memory, orchestration, evaluation, tracing, and cost/latency profiling).


• Experience with end-to-end technical ownership of engineering projects with executive stakeholders.

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, Agent Development Kit (ADK)) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).


• Experience with agentic frameworks and harness layers, such as Google's Agent Development Kit (ADK) or equivalent, protocol-level interoperability (MCP, Agent-to-Agent (A2A)) across third-party Independent Software Vendor (ISV) platforms (e.g., ServiceNow), and security ecosystem in DevSecOps.


• Knowledge of 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 Artificial Intelligence (AI) products and production-grade reality within customers. Unlike traditional advisory roles, you 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. 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. 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 road map. You will embed with the engineering organizations of our largest customers and take Google's developer AI Gemini Code Assist, anti-gravity Integrated Development Environment (IDE), Software Development Kit (SDK), Command Line Interface (CLI) and the agentic surfaces beneath them from the first conversation to a production-grade workflow. You will find what actually slows an engineering organization down, design the system that fixes it, and own it end-to-end like discovery, build, roll-out, hardening, and the long tail of making it reliable.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. Your’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, Model Context Protocol (MCP) servers) that drive measurable Return on Investment (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.


• Design and deploy production-grade agentic developer workflows on Google Cloud's AI stack, executing large-scale refactors, language migrations, Specification-to-Pull Request pipelines, and automated review/incident-to-fix loops.


• Embed with customer's staff engineers and leaders to identify core SDLC bottlenecks, such as legacy migrations, test coverage, review latency, or onboarding friction, and define success metrics.


• Integrate Google’s agentic systems into the customer's existing ISV and tools (e.g., Teamwork Graph, GitLab, ServiceNow, Slack) leveraging MCP and A2A protocols.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .