5 days ago
Taipei, TaiwanStaff+
Responsibilities
- Combine business strategies with direct development and prototyping to deliver customer-tailored solutions and secure stakeholder buy-in.
- Advise customers on enterprise AI integration patterns, serve as a technical authority, and build customer relationships.
- Demonstrate and prototype Google Cloud integrations in customer and partner environments.
- Document, prioritize, and drive resolution of customer feature requests and issues with Product and Engineering management systems.
- Drive technical wins and adoption for Gemini Enterprise workloads from technical evaluation through customer ramp.
- Recommend integration strategies, enterprise architectures, platforms, and application infrastructure for complete Google Cloud solutions.
- Travel to customer sites, conferences, and related events and act as a public advocate for Google Cloud.
Requirements
- Bachelor's degree or equivalent practical experience.
- 10 years of experience with cloud-native architecture in a customer-facing or support role, including application development and integration.
- Experience with search systems, including retrieval, ranking, and search quality tuning.
- Experience presenting to technical stakeholders and executive leaders.
- Experience coding in Python, JavaScript or TypeScript, Go, or Java for customer demos, prototypes, or integration workshops.
- Experience architecting solutions that integrate AI models using agents with enterprise data sources through RAG, Text-to-SQL, and semantic search.
- Preferred experience with functional evaluation metrics for model and agent quality.
- Preferred experience with iPaaS, API gateways, or enterprise service buses in cloud environments.
- Preferred experience developing agents with LangGraph, Semantic Kernel, or Google AI Agent Development Kit.
- Preferred knowledge of distributed tracing, logging, and audit logging for AI applications.
- Preferred knowledge of application integration governance and security, including OAuth2 flows and short-lived credential management.
- Preferred understanding of OpenAPI and Model Context Protocol integration patterns for connecting AI agents with business systems and API gateways.
Benefits
- Travel to customer sites, conferences, and related events as needed.
- Opportunity to work with Google Cloud products and enterprise generative AI solutions across a global customer base.
Tech Stack
Categories
Solutions Engineering
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.