Principal Engineer, Agentic AI Platforms, Ads
Mountain View, CA, USA · Principal · Full-time · Posted Oct 27, 2026
- Experience
- 15 years of professional experience in engineering.
- Education
- Bachelor's degree in Computer Science, Mathematics, or another relevant engineering discipline or equivalent practical experience.
About the job
Leads the architecture and technical strategy for agentic AI platforms that automate engineering workflows and support real-time ad selection and Ads Ranking systems.
What you'll do
- Design large-scale agentic platforms and orchestration frameworks for autonomous workflows in production.
- Drive AI-forward architecture, including agentic evaluation-driven development and integration of large language models into real-time ad selection.
- Collaborate with technical leaders across Ads, Core, Google DeepMind, and other teams to shape roadmaps and technical direction.
What they ask for
- Bachelor's degree in Computer Science, Mathematics, or another relevant engineering discipline, or equivalent practical experience.
- 15 years of professional experience in engineering.
Nice to have
- Master's degree in Computer Science, Mathematics, or Engineering.
- Technical leadership across a larger organization and experience with innovation in large, complex, cross-functional engineering environments.
Pay
$307000 - $427000 (USD) base salary
Tools
AI agents, large language models, Gemini
AI focus
Develops autonomous AI capabilities for Ads Ranking, automates ranking-model experiments, integrates large language models into real-time ad selection, and advances agentic developer workflows and platforms.
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