Principal Engineer, AI for Data and Analytics

Google Cloud Data Analytics is a suite of services that helps people collect, store, process, and analyze data in the cloud. It includes a variety of tools and features that can be used to build data pipelines, create data warehouses, and run analytics queries. Google Cloud Data Analytics can be used to support a wide range of business use cases, from massive data-parallel batch pipelines to real time streaming data.

As the Principal Engineer of AI for Data and Analytics, you will be a critical leader responsible for driving the technical strategy and execution of integrating generative AI capabilities into Google Cloud's data analytics ecosystem. In this role, you will architect and deliver complex, high-impact systems. The services you will influence underlie some of the most critical products within Google Cloud's data analytics portfolio including Looker and BigQuery, offering a unique opportunity to define the future of data interaction and analysis and impacting millions of users by enabling unprecedented access to insights through the power of Gen AI.

Responsibilities:

• Define and execute the technical roadmap for generative AI within Google Cloud's data and analytics platform, aligning with the overall product strategy.
• Collaborate closely with Product Management, UX Design, and Research teams as well as other Google Cloud teams to ensure alignment between technical capabilities and user needs.
• Stay at the forefront of advancements in generative AI, LLMs, and related technologies.
• Provide technical guidance, conduct code reviews, and support professional development to build a high-performing team.
• Lead the technical design and direction of generative AI features within Google Cloud's data and analytics ecosystem, architecting scalable and robust solutions leveraging LLMs for critical tasks.

This role offers a unique opportunity to shape the future of data analytics and AI at Google Cloud, impacting millions of users worldwide.