Staff Forward Deployed Engineer, Developer AI, Google Cloud

Google Inc.; Sydney; On-site; AUD 180,000 - 240,000; Full time

Job summary

Google Sydney, NSW, Australia is seeking a Go-To-Market Forward Deployed Engineer to bridge frontier AI products with production environments. You will own end-to-end delivery of agentic solutions, from discovery to hardening, within strategic accounts.

You will work with Gemini Code Assist, anti-gravity IDE, and the Vertex AI stack, embedding with customer engineering teams to ship bespoke AI workflows and drive measurable ROI.

Qualifications

• Bachelor’s degree in Engineering, Computer Science, or related field, or equivalent practical experience.
• 8 years of experience in cloud computing or a technical customer-facing role.
• Experience deploying, scaling, and debugging LLM or agent-based systems in production environments.
• Experience with end-to-end technical ownership of engineering projects with executive stakeholders.

Responsibilities

• Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows that drive ROI.
• Architect and code the connective tissue between Google’s AI products and customer’s live infrastructure, including APIs and data silos.
• Design and deploy production-grade agentic developer workflows on Google Cloud’s AI stack with large-scale refactors and migrations.
• Embed with customers' Staff Engineers and Leaders to identify core SDLC bottlenecks and define rigorous success metrics.
• Integrate Google’s agentic systems into customer ISV/tools leveraging MCP and A2A protocols.

Skills

Cloud computing

LLM deployment

End-to-end ownership

Stakeholder influence

Debugging AI systems

Education

Bachelor’s degree in Engineering/CS or related field

Master’s or PhD in AI/CS

Tools

ADK

LangGraph

CrewAI

A2A protocols

Job description

Share Staff Forward Deployed Engineer, Developer AI, Google Cloud

Google Sydney NSW, Australia

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

• 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, 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, A2A) across third-party ISV platforms (e.g., Atlassian, 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 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. This role is designed for high-agency engineers with a founder’s mindset. 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 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.

In this role, you will embed with the engineering organizations of our largest customers and take Google's developer AI - Gemini Code Assist, anti-gravity IDE, SDK, CLI and the agentic surfaces beneath them - from the first conversation to a production-grade workflow. You find what actually slows an engineering organization down, design the system that fixes it, and own it end-to‑end: 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. 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 measurableReturn 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, spec-to-PR pipelines, and automated review/incident-to-fix loops.
• Embed with customers' Staff Engineers and Leaders to identify core SDLC bottlenecks, such as legacy migrations, test coverage, review latency, or onboarding friction, and define rigorous success metrics.
• Integrate Google’s agentic systems into the customer's existing ISV and tools (e.g., Atlassian Rovo/Teamwork Graph, GitLab, ServiceNow, Slack) leveraging MCP and A2A protocols.

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.