Principal Engineer, Agentic AI Platforms, Ads

Minimum qualifications:

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

Preferred qualifications:

• 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 our products and users exist in, and our competitors and their products.
• Ability to balance detailed, technical guidance with big picture strategy.

About the job:

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 a massive scale. A primary focus will be 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 to ensure these models run efficiently. Your leadership will establish new paradigms for engineering workflows, driving productivity and innovation across the entire Ads organization.

Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.

Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.

Responsibilities:

• Drive the transition toward AI-forward architecture and self-managing codebases by enabling agentic evaluation-driven development, skills, and context integration.
• Collaborate with uber 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.