Applied AI Architect
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Build and optimize evaluation pipelines and observability frameworks for agentic systems, ensuring accuracy, safety, and latency requirements. Architect complex AI workloads including reasoning loops and tool selection, implement infrastructure like rate limiting and regional failover, and manage production monitoring during go-live. Requires bachelor's degree in engineering or computer science, six years of Python development experience, proven track record launching production AI systems on cloud platforms, and expertise with multi-agent workflows, RAG systems, and multilingual NLP models. Travel up to 50%.
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Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.
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