Part-time Senior Google Cloud / AI Solutions Architect (EMEA/LATAM)
我们正在寻找一名高级谷歌云 / AI 解决方案架构师，以担任企业 GCP 合作伙伴的技术预售领导。该角色与谷歌销售和客户团队一起塑造机会，提出可信性解决方案以及引领建筑当签署承诺进入交付时。要求：·实践经验在生产中设计和启动企业 GPC 客户项目；· Google Cloud 的技术销售经验，是主要的 GCP 合作伙伴或系统集成商，或者类似的面向客户架构经验；·通过提案，原型和全面交付来证明从头到端的所有权从带领和发现；· 拥有深入的 GCP 专业知识，包括谷歌 AI,双子球，Vertex AI,数据平台以及企业应用或迁移场景；·强大的英语，演示和利益相关者管理技能；·能够在短时间内前往美国进行客户会议。责任：·与 Google 销售公司，实地团队和客户合作确定并塑造 GCP 机会；·领导发现，解决方案架构，建议和原型号使业务价值清晰；· 在 Gemini 和 Vertex AI,BigQuery,冰 berg,GKE,云运行和云迁徙中建立令人信服的使用案例；·当交付机会转向领先时担任建筑师；·支持谷歌的共同销售动议和相关资金计划讨论。很好有：·专业云架构师或专业机器学习工程师认证；·与 RAG,人工智能代理商，生产 LLM 应用程序或知识基础转型经验；·从 AWS 或 Azure 迁移工作负载到 GCP 的工作条件：· 工作模式：远程 B2B; · 重叠：PST 至下午12点至少，最好直到下午2:00点；·目标开始日期：SAP.地点：EMEA/LATAM （远程）原始发布在喜马拉雅山
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We are looking for a Senior Google Cloud / AI Solutions Architect to act as a technical pre-sales lead for an enterprise GCP partnership. The role works with Google Sales and customer teams to shape opportunities, pitch credible solutions, and lead architecture when signed engagements move into delivery.
Requirements:
- Hands-on experience architecting and launching enterprise GCP customer projects in production;
- Technical sales experience at Google Cloud, a major GCP partner or systems integrator, or comparable client-facing architecture experience;
- Proven end-to-end ownership from lead and discovery through proposal, prototype, and full-scale delivery;
- Deep GCP expertise across Google AI, Gemini, Vertex AI, data platforms, and enterprise application or migration scenarios;
- Strong English, presentation, and stakeholder-management skills;
- Ability to travel to the United States for client meetings on short notice.
Responsibilities:
- Partner with Google Sales, field teams, and customers to identify and shape GCP opportunities;
- Lead discovery, solution architecture, proposals, and prototypes that make the business value clear;
- Build compelling use cases across Gemini and Vertex AI, BigQuery, Iceberg, GKE, Cloud Run, and cloud migrations;
- Act as the lead architect when signed opportunities transition into delivery;
- Support Google co-sell motions and relevant funding-program discussions.
Nice to Have:
- Professional Cloud Architect or Professional Machine Learning Engineer certification;
- Experience with RAG, AI agents, production LLM applications, or knowledge-base transformation;
- Experience migrating workloads from AWS or Azure to GCP.
Working Conditions:
- Work model: Remote B2B;
- Overlap: PST until 12:00 PM minimum, preferably until 2:00 PM;
- Target start date: ASAP.
Locations: EMEA/LATAM (Remote)
Originally posted on Himalayas