{"id":3386874,"url":"https://alion.io/job/google-principal-engineer-agentic-ai-platforms-ads","title":"Principal Engineer, Agentic AI Platforms, Ads","company":{"id":82,"name":"Google","domain":"google.com","url":"https://alion.io/company/google","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":80,"open_postings":151,"ghost_share":0.046,"stale_share":0.649,"repost_share":0.046,"time_to_fill_p50_days":30,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":169000,"max_usd":339000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1231},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Gemini","optional":false},{"name":"Machine Learning","optional":false},{"name":"Outlook","optional":false}],"status":"live","first_seen_at":"2026-10-27T13:37:58Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-10-31T17:19:16Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"About the job\nAs 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.\nGoogle 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.\nOur 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.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $307000 - $427000 (USD) + 30% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nDrive the transition toward AI-forward architecture and self-managing codebases by enabling agentic evaluation-driven development, skills, and context integration.\nCollaborate 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.\nLead the architectural design of next-generation agentic platforms for large-scale advertising systems.\nDrive the technical strategy for integrating large language models into real-time ad selection systems.\nDesign highly scalable orchestration frameworks to manage autonomous agent workflows in production environments.\nQualifications\nMinimum qualifications:\nBachelor's degree in Computer Science, Mathematics, or other relevant engineering discipline or equivalent practical experience.\n15 years of professional experience in engineering.\nPreferred qualifications:\nMaster's degree in Computer Science, Mathematics, or Engineering.\nExperience providing technical leadership across a larger organization, including motivating others at all levels by creating a shared sense of outlook and purpose.\nExperience with technical innovation within large, complex, and cross-functional engineering environments.\nKnowledge of Google Ads products, the ecosystems our products and users exist in, and our competitors and their products.\nAbility to balance detailed, technical guidance with big picture 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