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About the Role
As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you will be an embedded builder bridging the gap between frontier AI products and production-grade reality within customers. You will function as an "innovator-builder," coding, debugging, and jointly shipping bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset, addressing blockers to production including integration complexities, data readiness issues, and state-management challenges. By embedding with strategic accounts, you will provide "white glove" deployment of complex AI systems and act 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 from conversation to a production-grade workflow, identifying and fixing SDLC bottlenecks, and owning the process end-to-end. 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, supported by the world's most advanced AI portfolio and the complete Vertex AI platform. We offer a collaborative culture with direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges and define the new cloud era.
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, 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 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.
Skills
- 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.
Experience Level
- 8 years of experience in cloud computing or a technical customer-facing role.
Education Level
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- Master’s degree or PhD in AI, Computer Science, or a related technical field.
About the Company
- 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.