Principal Engineer, Agentic AI Platforms, Ads

Google•Mountain View, CA

20h•$307,000 - $427,000

About The Position

As a Principal Engineer on the Ads Platform team, you will lead an AI-driven transformation for engineers, product managers, and UXRs building Google's Ads and Commerce products. You will define the outlook, architecture, and infrastructure for AI agents and modern developer tools that automate key development processes at massive scale. A primary focus is accelerating Google's Ads Ranking innovation by developing autonomous AI capabilities. You will design systems that automate the design, execution, and analysis of ranking model experiments, and lead the optimization of low-level infrastructure so these models run efficiently. Your leadership will establish new paradigms for engineering workflows, driving productivity and innovation across the Ads organization. Google Ads applies cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion-dollar global business. The work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return on investment. The role involves deep collaboration with teams such as Google Research and DeepMind to solve complex challenges and build the next generation of advertising technology.

Requirements

Bachelor's degree in Computer Science, Mathematics, another relevant engineering discipline, or equivalent practical experience.
15 years of professional experience in engineering.

Nice To Haves

Master's degree in Computer Science, Mathematics, or Engineering.
Experience providing technical leadership across a larger organization, including motivating others at all levels by creating a shared sense of outlook and purpose.
Experience with technical innovation within large, complex, and cross-functional engineering environments.
Knowledge of Google Ads products, the ecosystems in which the products and users exist, and competitors and their products.
Ability to balance detailed technical guidance with big-picture strategy.

Responsibilities

Drive the transition toward AI-forward architecture and self-managing codebases by enabling agentic evaluation-driven development, skills, and context integration.
Collaborate with technical leads across Ads product area groups, Core, and Google DeepMind to influence roadmaps, technical direction, and Google's broader Buying platforms and Ads outlook.
Lead the architectural design of next-generation agentic platforms for large-scale advertising systems.
Drive the technical strategy for integrating large language models into real-time ad selection systems.
Design highly scalable orchestration frameworks to manage autonomous agent workflows in production environments.
Design systems that automate the design, execution, and analysis of ranking model experiments.
Lead the optimization of low-level infrastructure to ensure ranking models run efficiently.