This role involves leading the development and deployment of AI applications, specifically agentic solutions, within customer environments on Google Cloud. The engineer will bridge the gap between AI products and production systems, focusing on integration, data readiness, and state management. Responsibilities include architecting and coding connective tissue, building evaluation pipelines and observability frameworks, and acting as a feedback loop for product development. The role requires significant experience in shipping production-grade AI solutions and Python, with a preference for experience in multi-agent systems and LLM-native metrics.

Google Cloud is seeking a Generative AI Forward Deployed Engineer to build and deploy agentic AI solutions within customer environments. This role involves transitioning prototypes to production, integrating AI products with customer infrastructure, building evaluation and observability pipelines, and providing feedback to product teams. Requires experience in building production-grade AI solutions, applied AI with a focus on systems around pretrained models (prompt engineering, fine-tuning, RAG, tool orchestration), and cloud platform deployment.