Principal Engineer, Agentic AI Platforms, Ads

Google LLC; Mountain View (CA); On-site; USD 307,000 - 427,000; Full time

Job summary

Google LLC in Mountain View, CA is seeking a Principal Engineer for Agentic AI Platforms in Ads. You will lead an AI-driven transformation across Google's Ads and Commerce products, defining the outlook, architecture, and infrastructure for AI agents and developer tools at massive scale.

The role focuses on accelerating ads ranking innovation with autonomous AI capabilities, partnering with teams like Google Research and DeepMind to drive breakthroughs across the Ads organization.

Qualifications

• Bachelor's degree required or equivalent practical experience.

Responsibilities

• Drive AI-forward architecture for agentic platforms in large-scale ads systems.
• Collaborate with senior technical leads across Ads, Core, and DeepMind to influence roadmaps and direction.
• Lead architectural design of next-generation agentic platforms for scalable ad systems.
• Define technical strategy for integrating large language models into real-time ad selection workflows.
• Design scalable orchestration frameworks to manage autonomous agent workflows in production.

Skills

Engineering experience (15 years)

Education

Bachelor's degree in Computer Science, Mathematics, or related engineering field

Job description

Principal Engineer, Agentic AI Platforms, Ads

Share Principal Engineer, Agentic AI Platforms, Ads

Google Mountain View, CA, USA Director+

• 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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $307000 - $427000 (USD) + 30% bonus target + equity + benefits
Learn more about benefits at Google .

• 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.