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# Staff Forward Deployed Engineer, GenAI, Google Cloud

- **Company:** Google
- **Location:** München, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Python (Programming Language), Rapid Prototyping Process, TypeScript, Unstructured Data, Google Cloud, ReactJS, Retrieval-Augmented Generation, Multi-Agent Systems, Information Technology, Hardware Infrastructure, Data Pipelines
- **Published:** June 17, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=4e36728569a11d0a

## About the Role

* Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
 * 8 years of experience building and shipping production-grade AI-driven solutions to external or internal customers using Python, TypeScript or comparable languages.
 * Experience leading technical discovery sessions with business stakeholders and engineering teams to define AI and hardware infrastructure requirements.
 * Experience designing and building 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 retrieval-augmented generation (RAG)-like architectures to power enterprise-grade AI solutions., * 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 Agent Development Kit (ADK)) and patterns like ReAct, self-reflection, and hierarchical delegation.
 * Knowledge of large language model native metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

## Description

* 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 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 the Engineering teams.
 * Drive engineering excellence by mentoring talent, co-building with customer teams, and influencing cross-functional strategies to uplevel organizational technical capabilities.


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