We are seeking a Principal Engineer (IC5) to lead the architecture and development of AI-powered data intelligence platforms operating at Yahoo scale.
This role sits at the intersection of large-scale distributed data systems, enterprise knowledge, Retrieval-Augmented Generation (RAG), and agentic AI. You will define how AI reasons over Yahoo’s data ecosystem to help teams detect anomalies, diagnose incidents, understand dependencies, discover trusted data, optimize infrastructure, and automate complex operational workflows.
As a Principal Engineer, you will establish technical direction and reference architectures for enterprise AI systems while building reusable platform capabilities that can be adopted across engineering, analytics, governance, and business organizations.
You will also help shape how Yahoo engineers use AI to build software—leveraging AI-assisted development, evaluation, and automation to accelerate engineering while maintaining rigorous standards for correctness, reliability, security, and operational safety.
Systems that answer questions like:
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Why did engagement decline after last week’s deployment?
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What breaks downstream if we change this schema?
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What’s the root cause of this data quality incident?
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Which datasets should I trust for this decision?
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Where can we cut capacity waste without slowing consumer queries?
Delivered through natural language interfaces over enterprise metadata and operational telemetry, serving executives, data producers, data consumers, and governance teams.