Senior Forward Deployed Engineer, GenAI, Google Cloud
Google — Go-To-Market team, Google Cloud
Locations: Vienna, Austria; Zürich, Switzerland; Berlin, Germany; Hamburg, Germany; Munich, Germany
Level: Mid
URL: https://www.google.com/about/careers/applications/jobs/results/98998917743420102-senior-forward-deployed-engineer-genai-google-cloud

Minimum qualifications:
- Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 6 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 (RAG)-like architectures to power enterprise-grade AI solutions.

Preferred qualifications:
- 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.

About the job:
As a GenAI Forward Deployed Engineer at Google Cloud, you will be an embedded builder bridging the gap between frontier AI products and production-grade reality for our customers. You will function as a builder-consultant, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer's environment.

In this role, you will manage 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 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. We'll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform. We're a collaborative culture providing direct access to DeepMind's engineering and research minds.

Responsibilities:
- 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-quality, production-grade solutions, providing white-glove deployment and acting as a feedback loop into Google Cloud's product roadmap.
- Lead technical discovery with business stakeholders and engineering teams to define AI and infrastructure requirements.
- Optimize LLM-native metrics (tokens/sec, cost-per-request), state management, and granular tracing.
