Practice Customer Engineer, GenAI, Public Sector, Google Cloud

Minimum qualifications:

• Bachelor's degree in a technical field or equivalent practical experience.

• 10 years of experience with cloud native architecture in a customer-facing or support role.

• Experience in architecting solutions that integrate AI models using agents with enterprise data sources using patterns like RAG, Text-to-SQL, and semantic search.

• Experience with coding in Python, JavaScript or TypeScript, Go, or Java, to demo, prototype, or workshop integration patterns with customers.

Preferred qualifications:

• Experience in developing agents using frameworks such as LangGraph, Semantic Kernel, or the Google AI Agent Development Kit (ADK).

• Experience with cloud technologies including SaaS applications, iPaaS, business automation solutions, Cloud infrastructure, Agentic AI, and cloud networking.

• Experience engaging with, or presenting to, technical stakeholders or executive leaders.

• Knowledge of integration patterns using OpenAPI and Model Context Protocol (MCP) to connect AI agents with business systems and Application Programming Interface (API) Gateways.

• Knowledge of observability constructs including distributed tracing, logging, and audit logging for AI applications.