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Senior Forward Deployed Engineer, Generative AI, Cloud

in 10115, Berlin, Berlin, Deutschland
Unternehmen: Google
Vollzeit position
Verfasst am 2026-09-15
Berufliche Spezialisierung:
  • Software Entwicklung
    Künstliche Intelligenz Ingenieur, Cloud-Ingenieur - Software
Gehalts-/Lohnspanne oder Branchenbenchmark: 128000 - 131000 EUR pro Jahr EUR 128000.00 131000.00 YEAR
Stellenbeschreibung
Stellenbezeichnung: Senior Forward Deployed Engineer, Generative AI, Google Cloud

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

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following:
Munich, Germany;
Berlin, Germany;
Frankfurt am Main, Germany;
Hamburg, Germany

.

Minimum qualifications
  • Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  • 5 years of experience with software development using Python or similar coding languages.
  • Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., GCP).
  • Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
  • Experience leading technical discovery sessions.
Preferred qualifications
  • Master's or PhD in AI, Computer Science, or a related technical field.
  • Experience implementing multi-agent systems using frameworks (e.g., Lang Graph, CrewAI, 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 are an embedded developer who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you function as an "innovator-developer," 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 challenges that prevent AI from reaching enterprise-grade maturity. By embedding with strategic accounts, you 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 '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 Deep Mind'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.

Germany: €128000 - €131000 (EUR) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

  • 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 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…
Stellen-Anforderungen
10+ Jahre Berufserfahrung
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