Google Cloud Architect Job at SoftwareOne, United States

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  • SoftwareOne
  • United States

Job Description

  • Do you thrive on designing intelligent, scalable solutions that combine cloud infrastructure with cutting‑edge AI?  
  • Are you excited by the opportunity to help customers adopt Google Cloud Platform and modernize their businesses through Generative AI?  
  • Do you enjoy partnering with sales, delivery teams, and customers to architect solutions that deliver measurable impact?  

 

Practical Information  

Location:  Paris or Montpellier, France | Reports to:  Services Director | Work Arrangement:  Hybrid | Visa Requirements:  Valid visa for France | Language Requirements:  Fluent in English and France  

 

The Role  
As our new  Cloud Solution Architect & AI Specialist , you will help customers adopt  Google Cloud Platform (GCP)and design scalable solutions that integrate  AI, cloud infrastructure, and data services . You will translate business needs into architectures using technologies like  Gemini Enterprise GKE , and  Vertex AI , supporting customer innovation and cloud modernization. Working within our  Google Cloud & AI practice , you will collaborate across Sales, Delivery, Engineering, and customer teams to design value‑driven, production‑ready solutions that accelerate transformation. 

 

Key Responsibilities

  • Lead workshops, discovery assessments, and readiness evaluations to understand customer requirements across cloud, data, and AI adoption 
  • Translate customer pain points into high‑value use cases integrating enterprise data with Generative AI and GCP-native services 
  • Design end‑to‑end architectures for  AI (Gemini Enterprise, Vertex AI) Cloud Infrastructure (GKE, hybrid/multi‑cloud networking) , and  Data Services (BigQuery, Cloud Storage, Dataflow) including RAG patterns 
  • Produce solution blueprints, architecture diagrams (HLD/LLD), technical PoCs, and demos in collaboration with engineering teams 
  • Build proposals, SOWs, estimates, and respond to RFI/RFPs with security, scalability, and TCO considerations 
  • Support the sales cycle by addressing technical objections related to data privacy, AI governance, infrastructure design, and implementation feasibility 

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