Job Description
# Partner Forward Deployed Engineer, Google Cloud (German, French)at Google • London, UKBack to jobs1. Home2. Jobs3. UK4. Partner Forward Deployed Engineer, Google Cloud (German, French)1d agoG Partner Forward Deployed Engineer, Google Cloud (German, French)Google2747Software Engineering, Cloud, Artificial IntelligenceFull-timeLondon, UKApply Job Job DescriptionAs a Forward Deployed Engineer (FDE) in the Google Cloud Consulting organization, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, 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. 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 issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will 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 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 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. Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet 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 pre-sales and product teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption. Skills Required Python Software Development Structured Data Unstructured Data Vector Databases RAG Architecture Enterprise AI Solutions AI System Architecture Google Cloud Platform (GCP) Technical Discovery Sessions French (Fluent) German (Fluent) Multi-agent Systems LangGraph CrewAI ADK ReAct Self-reflection Hierarchical Delegation Post-sales Technical Consulting Large Language Model (LLM) Metrics State Management Optimization Granular Tracing API Integration Observability Frameworks Development Best Practices