Staff Forward Deployed Engineer, Developer AI, Google Cloud

Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Engineering · Software Engineering

In short

As a GenAI Forward Deployed Engineer at Google Cloud, you will be an embedded builder developing AI solutions within customer environments. You will code, debug, and ship bespoke agentic solutions, addressing integration complexities, data readiness, and state-management challenges to achieve enterprise-grade maturity. You will also provide feedback to influence Google Cloud's product road map.

Responsibilities

Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows 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.

Requirements

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.

Desired 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.

Benefits

Opportunity to work with frontier Artificial Intelligence (AI) products.
Access to Google's advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform.
Collaborative culture with direct access to DeepMind's engineering and research minds.
Be a catalyst for Google's mission, drive customer success, and define the new cloud era.

Skills

Google CloudAILarge Language Model (LLM)agent-based systemscloud computingLangGraphCrewAIAgent Development Kit (ADK)DevSecOpsAPIsGemini Code AssistSDKCLI

#AI#Google Cloud#GenAI#Large Language Model#Agentic Systems#LLM

About Google

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At Google, our mission is to organize the world's information and make it universally accessible and useful. From Search to AI, we develop products and services that improve the lives of billions, empowering individuals and businesses globally. We're driven by a passion for innovation, a commitment to solving complex problems, and a belief in the transformative power of technology. Since our founding in 1998, we've remained dedicated to creating a more helpful and connected world.

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