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Tier-1 brand but senior, specialized AI-cloud customer role reduces applicant density.
AI-cloud technical skills transfer broadly, but public-sector customer and regulatory experience increases background sensitivity.
Explicit 10-year requirement, specialized AI-cloud skills, and customer-facing experience create strict filtering.
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Lead technical solutions for complex AI workloads ensuring rapid adoption throughout the sales and customer ramp process.
Develop and prototype customer-specific AI integration solutions to secure customer buy-in and differentiate Google Cloud offerings.
Provide deep technical consultation and feedback to drive product improvements and reusable Go-To-Market assets.
Bachelor's degree in a technical field or equivalent practical experience.
10 years of experience with cloud native architecture in customer-facing or support roles.
Proficiency in coding with Python, JavaScript/TypeScript, Go, or Java for demos and prototypes.
Experience architecting AI model integrations using patterns like RAG, Text-to-SQL, or semantic search.
Experienced in AI agent frameworks such as LangGraph, Semantic Kernel, or Google AI Agent Development Kit.
Skilled at engaging with technical and executive stakeholders for solution adoption.
Strong knowledge of cloud technologies, integration patterns (OpenAPI, MCP), and observability for AI applications.