Role name: Gemini Enterprise SME
Work site: US (Remote)
Start date: Immediate availability.
Must have Gemini Enterprise experience. Please done share without Gemini experience. Google Cloud Platform is also require.
Role Summary
Seeking a Gemini Enterprise Experience Engineer to design, build, and operationalize enterprise grade Gemini powered solutions on Cloud Platform (Google Cloud Platform). 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 Google Cloud Platform 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 Google Cloud Platform, 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 Google Cloud Platform
Experience
5+ years in cloud, AI/ML, or platform engineering
Prior experience delivering enterprise AI solutions on Cloud preferred
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