32 lines
3.4 KiB
Plaintext
32 lines
3.4 KiB
Plaintext
Senior Forward Deployed Engineer, GenAI, Google Cloud
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Google — Go-To-Market team, Google Cloud
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Locations: Vienna, Austria; Zürich, Switzerland; Berlin, Germany; Hamburg, Germany; Munich, Germany
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Level: Mid
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URL: https://www.google.com/about/careers/applications/jobs/results/98998917743420102-senior-forward-deployed-engineer-genai-google-cloud
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Minimum qualifications:
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- Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
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- 6 years of experience building and shipping production-grade AI-driven solutions to external or internal customers using Python, Typescript or comparable languages.
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- Experience leading technical discovery sessions with business stakeholders and engineering teams to define AI and hardware infrastructure requirements.
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- Experience designing and building AI systems on cloud platforms (e.g., Google Cloud Platform (GCP)).
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- Experience building pipelines for structured, unstructured data, incorporating vector databases and retrieval-augmented generation (RAG)-like architectures to power enterprise-grade AI solutions.
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Preferred qualifications:
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- Master's degree or PhD in AI, Computer Science, or a related technical field.
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- 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.
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- Knowledge of large language model native metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
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About the job:
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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.
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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.
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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.
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Responsibilities:
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- 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.
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- Architect and code the connective tissue between Google's AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters.
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- Build high-quality, production-grade solutions, providing white-glove deployment and acting as a feedback loop into Google Cloud's product roadmap.
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- Lead technical discovery with business stakeholders and engineering teams to define AI and infrastructure requirements.
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- Optimize LLM-native metrics (tokens/sec, cost-per-request), state management, and granular tracing.
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