AI Agent & Cloud Infra Architect

Google; Seattle (WA); Hybride; USD 186 000 - 269 000; Plein temps

Résumé du poste

Google Cloud is seeking a Cloud Infra & AI Agent Specialist to lead AI integration across our operational and analytical frameworks. You will own projects in agentic tools engineering, demand forecasting, capacity planning, and performance management, embedding AI into GTM and capacity systems.

You will collaborate with leadership to translate large data sets into actionable insights guiding multi‑billion dollar infrastructure decisions, ensuring compute, storage, and AI chips meet customer

Qualifications

• Bachelor’s degree in CS, Engineering, Finance, or equivalent practical experience.
• 8+ years of experience in data analysis.
• Experience with Agentic programming or application development.
• Proficiency in SQL, BigQuery, Looker or similar data analytics tools.
• Experience in cloud infrastructure (IaaS compute, storage, networking).

Responsabilités

• Architect, build, and deploy custom Agentic solutions for operations.
• Design capacity allocations forums for Compute, Storage, and AI Chips, automating signaling.
• Audit and optimize GTM systems by embedding autonomous intelligence models.
• Automate demand forecasting using ML/AI tools and data signals.
• Build scalable performance management systems across data center metrics.

Connaissances

Advanced SQL

BigQuery

Looker

Cloud infrastructure

Agentic programming

Data analytics

Formation

Bachelor's degree in CS/Engineering/Finance

Master’s degree or PhD (preferred)

Outils

Google Cloud

GCP APIs

Description du poste

Google Cloud is seeking a Cloud Infra & AI Agent Specialist to lead AI integration across our operational and analytical frameworks. You will own projects in agentic tools engineering, demand forecasting, capacity planning, and performance management, embedding AI into GTM and capacity systems.

You will collaborate with leadership to translate large data sets into actionable insights guiding multi‑billion dollar infrastructure decisions, ensuring compute, storage, and AI chips meet customer