Forward Deployed Engineer, GenAI, DACH, Google Cloud
London, UK
Full-time
Onsite
Entry, Mid Level
Google is a leading technology company, and they are seeking a Forward Deployed Engineer specializing in Generative AI for their Google Cloud team. In this role, you will bridge the gap between AI products and production-grade solutions, managing integration complexities and deploying AI systems for customers.
Serve as the lead 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
Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters
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 technical friction points in Google’s AI stack, converting them into reusable modules or product feature requests for engineering teams
Drive engineering excellence by mentoring talent, co-building with customer teams, and influencing cross-functional strategies to uplevel organizational technical capabilities
Qualification
Required
Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience
Experience building and shipping production-grade AI-driven solutions to external or internal customers using Python, Typescript, or similar languages
Experience leading technical discovery sessions with business stakeholders and engineering teams to define AI and hardware infrastructure requirements
Experience architecting scalable AI systems on cloud platforms e.g., Google Cloud Platform (GCP)
Experience building pipelines for structured, unstructured data, incorporating vector databases and Retrieval-Augmented Generation (RAG)-like architectures to power enterprise-grade AI solutions
Preferred
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, or Google's ADK) and patterns like ReAct, self-reflection, and hierarchical delegation
Knowledge of LLM-native metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing
Benefits
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.
