Principal Engineer, Agentic AI Platforms, Ads

Google LLC
  • Mountain View, CA
    16 days ago

    Job Description

    Principal Engineer, Agentic AI Platforms, Ads

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    Minimum qualifications:

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

    Preferred qualifications:

    • Masters 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 Googles 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 Googles 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.

    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 Googles 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.

    Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Googles Applicant and Candidate Privacy Policy.

    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 Googles EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

    If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

    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.

    To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

    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.

    Numbers & Facts

    LocationMountain View, CA

    Skills

    • Advertisingunmatched
    • Analysis Skillsunmatched
    • Architectural Designunmatched
    • Artificial Intelligence (AI)unmatched
    • Artificial Intelligence (AI) Agentsunmatched
    • Campaignsunmatched
    • Computer Scienceunmatched
    • Cross-Functionalunmatched
    • Ecosystemsunmatched
    • English Languageunmatched
    • Equal Employment Opportunity (EEO)unmatched
    • Geneticsunmatched
    • International Businessunmatched
    • Large-Scale Systemsunmatched
    • Leadershipunmatched
    • Machine Learningunmatched
    • Mathematicsunmatched
    • Modeling Languagesunmatched
    • Production Systemsunmatched
    • Programming Toolsunmatched
    • Quality Managementunmatched
    • Recruiting/Staffing Agencyunmatched
    • Regulatory Requirementsunmatched
    • Return on Investment (ROI)unmatched
    • Stock Purchase Plansunmatched
    • Technical Leadershipunmatched
    • Technical Strategyunmatched

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