Gemini Enterprise SME
eTeam, Chicago, IL, United States
Role name: Gemini Enterprise SME
Work site: US (Remote)
Role Summary Seeking a Gemini Enterprise Experience Engineer to design, build, and operationalize enterprise-grade Gemini-powered solutions on Cloud Platform (GCP). This role focuses on Gemini APIs, Vertex AI, and agentic AI frameworks to deliver secure, scalable, and production-ready AI experiences for enterprise users. Key Responsibilities
Design and implement Gemini Enterprise solutions using Gemini APIs and Vertex AI Build and deploy agentic AI workflows using Agent Builder, ADK, and LangGraph-style orchestration [Manideep M...prise 3-10 | PDF], [Clo...iew_Jerome | PowerPoint] Integrate Gemini with enterprise data sources, APIs, and business systems Productionize AI experiences on GCP with strong focus on security, governance, and observability Collaborate with engineering and customer teams to translate business needs into scalable AI experiences
Required Skills
Hands-on experience with Gemini Enterprise / Gemini APIs Strong experience with GCP, especially Vertex AI Proficiency in Python and API-based AI integration Experience building enterprise-grade GenAI applications
Nice to Have
Experience with Agent Builder, Agent Development Kit (ADK), or Agent Engine Familiarity with RAG patterns, structured outputs, and tool-calling Experience with secure or privacy-sensitive enterprise data Exposure to CI/CD and cloud-native deployment on GCP
Experience
5 years in cloud, AI/ML, or platform engineering Prior experience delivering enterprise AI solutions on Cloud preferred
Role Summary Seeking a Gemini Enterprise Experience Engineer to design, build, and operationalize enterprise-grade Gemini-powered solutions on Cloud Platform (GCP). This role focuses on Gemini APIs, Vertex AI, and agentic AI frameworks to deliver secure, scalable, and production-ready AI experiences for enterprise users. Key Responsibilities
Design and implement Gemini Enterprise solutions using Gemini APIs and Vertex AI Build and deploy agentic AI workflows using Agent Builder, ADK, and LangGraph-style orchestration [Manideep M...prise 3-10 | PDF], [Clo...iew_Jerome | PowerPoint] Integrate Gemini with enterprise data sources, APIs, and business systems Productionize AI experiences on GCP with strong focus on security, governance, and observability Collaborate with engineering and customer teams to translate business needs into scalable AI experiences
Required Skills
Hands-on experience with Gemini Enterprise / Gemini APIs Strong experience with GCP, especially Vertex AI Proficiency in Python and API-based AI integration Experience building enterprise-grade GenAI applications
Nice to Have
Experience with Agent Builder, Agent Development Kit (ADK), or Agent Engine Familiarity with RAG patterns, structured outputs, and tool-calling Experience with secure or privacy-sensitive enterprise data Exposure to CI/CD and cloud-native deployment on GCP
Experience
5 years in cloud, AI/ML, or platform engineering Prior experience delivering enterprise AI solutions on Cloud preferred