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.

Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities:

• Define and execute the technical roadmap for generative AI within Google Cloud's data and analytics platform, aligning with the overall product strategy. Identify key opportunities, prioritize projects, and manage resources effectively to maximize impact across the portfolio.
• 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, delivering seamless and intuitive user experiences across various data and analytics products.
• 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.