Staff Forward Deployed Engineer, Google Cloud

Google LLC

Greater London

On-site

GBP 140,000 - 200,000

Full time

3 days ago
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Job summary

Google London, UK is seeking a GenAI Forward Deployed Engineer to bridge frontier AI products with production-grade reality. You will embed with customers, ship bespoke agentic solutions, and code beyond high-level architecture.

You will join Go-To-Market with access to Gemini models and Vertex AI, tackling integration, data readiness, and state-management challenges to drive enterprise adoption.

Qualifications

  • Bachelor’s degree in Engineering, CS, or related field, or equivalent experience.
  • 8 years of cloud or technical customer-facing experience.
  • Experience deploying production AI solutions on cloud platforms.

Responsibilities

  • Serve as a developer for AI applications, shipping agentic workflows that drive ROI.
  • Architect and code the connective tissue between Google’s AI products and customer infrastructure.
  • Build high-performance evaluation pipelines and observability for accuracy, safety, latency.
  • Identify repeatable field patterns and convert them into reusable modules for product teams.
  • Co-build with customer engineering teams to ensure long-term project success.

Skills

Cloud experience
AI systems design
Data pipelines
Technical discovery leadership

Education

Bachelor's degree or higher

Tools

LangGraph
CrewAI
ADK

Job description

Google London, UK


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



  • 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 taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP)).

  • Experience building pipelines for structured and unstructured data using both vector databases and retrieval-augmented generation (RAG)-like architectures to power enterprise AI solutions.

  • Experience leading technical discovery sessions.


Preferred qualifications:


  • Master’s degree or PhD in Artificial Intelligence, 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).

  • 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 will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. You will 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. Your 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 issues that prevent AI from reaching enterprise-grade maturity, by embedding with strategic accounts, you will serve a dual purpose: providing \"white glove\" deployment of AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap. 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 AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (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.

  • Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.

  • Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.

  • Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long‑term project success and high end‑user adoption.


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, is 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.

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