About the role

What will you do at Google?

MINIMUM QUALIFICATIONS:

* Bachelor’s degree in Engineering, Computer Science, a related field, or

equivalent practical experience.

* 8 years of experience with software development using Python or similar

coding languages.

* Experience building pipelines for structured and unstructured data using both

vector databases and RAG-like architectures to power enterprise AI solutions.

* Experience taking production-grade AI-driven solutions from conception to

launch for customers.

* Experience leading technical discovery sessions with customers.

* Experience architecting AI systems on cloud platforms (e.g., Google Cloud

Platform (GCP)).

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).

* Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec,

cost-per-request) and techniques for optimizing state management and granular

tracing.

ABOUT THE JOB:

As a Generative AI (GenAI) Forward Deployed Engineer (FDE) at Google Cloud, you

will be an embedded builder who bridges the gap between frontier Artificial

Intelligence (AI) products and production-grade reality within partners for our

customers. You will function as an innovator-builder, moving beyond high-level

architecture to code, debug, and jointly ship bespoke and scalable agentic

solutions directly with our partners, for and within the customer’s environment.

You will address blockers to production including solving the integration

complexities, data readiness issues, and state-management issues 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

connector and feedback loop for the partner to Google, transforming real-world

field and partner insights into Google Cloud’s future product roadmap. You will

serve as the agent engineer bridging the gap between AI prototypes and

production-grade reality for our strategic AI partners and their own FDE teams.

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.

Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

* Serve as a tech lead and developer with strategic AI partners for complex AI

applications, working with partner teams to transition from rapid prototypes

to production-grade, replicable agentic workflows (e.g., multi-agent systems,

MCP servers) that drive measurable Return on Investment (ROI).

* Build high-performance evaluation pipelines and observability frameworks to

ensure partner developed agentic systems meet rigorous requirements for

accuracy, safety, and latency.

* Identify repeatable partner and field patterns and friction points in

Google’s AI stack, converting them into reusable modules or formal product

feature requests for the Engineering teams.

* Be able to co-build with a strategic AI partner’s forward deployed

engineering team to instill Google-grade development best practices.

* Help partners to build their own agentic delivery capabilities to set them up

for long term success, focusing on the ROI at customer engagements ensuring

customer activation.

Which skills does this role require?

PythonGoogle Cloud PlatformVertex AIVector DatabasesRAG ArchitecturesLLM MetricsSoftware DevelopmentSystem ArchitectureData PipelinesObservability FrameworksTechnical DiscoveryGeminiRAGObservabilityLatencyROICloud ComputingDeepMindAgentic WorkflowsMCP ServersEnterprise AIGCPLLMsPrototypingProduct Strategy

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