Staff Forward Deployed Engineer, Developer AI, Google Cloud

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

Job summary

Google Cloud is seeking a GenAI Forward Deployed Engineer to embed with major accounts and ship bespoke agentic solutions directly within customers' environments. You will move from rapid prototypes to production-grade workflows, solving data readiness, state-management, and integration challenges while maintaining high agency and ownership.

You will leverage Google’s Gemini, Vertex AI, and ADK capabilities, delivering end-to-end deployments, quantifying ROI, and collaborating with customer

Qualifications

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

Responsibilities

• Serve as a developer for complex AI applications, moving prototypes to production-grade workflows.
• Architect and code the integration between Google's AI products and customer live infrastructure.
• Design and deploy production-grade agentic developer workflows on Google Cloud's AI stack.
• Embed with customers' staff engineers to identify SDLC bottlenecks and define success metrics.
• Integrate Google's agentic systems with customer ISV tools leveraging MCP and A2A protocols.

Skills

Cloud computing

Technical customer-facing

LLM / agent-based systems

End-to-end ownership

Executive stakeholder communication

Education

Bachelor's degree in Engineering/CS or related

Master's degree or PhD in AI/CS

Tools

LangGraph

CrewAI

Google ADK (Agent Development Kit)

MCP

A2A protocols

Job description

At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google’s technology, platforms and people and we welcome Indigenous applicants. Please see our Reconciliation Action Plan for more information.

In most instances, this position requires in-person interviews as part of the hiring process.

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, 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 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, 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 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 .