Gemini Architect

📋 Description

• Architect end-to-end GenAI solutions with Gemini Enterprise.
• Design multi-agent workflows; choose no-code or ADK for tasks.
• Build secure data grounding to connect models to enterprise data.
• Define security/governance: data residency, access control, monitoring.
• Advise C-level/IT on ROI and roadmap for Gemini Enterprise.
• Lead client workshops and MVP prototypes to validate value.
• Create integration strategy across client stack (Google Workspace, core apps).
• Produce architecture docs and implementation roadmaps.

🎯 Requirements

• 6+ years in solutions/cloud architecture or senior AI/ML consulting.
• Hands-on Gemini/Gemini Enterprise: ADK, data grounding, security.
• Analyze complex problems; translate objectives into robust architectures.
• Strong Google Workspace integration: Admin, Security, APIs.
• Expertise in LLMs, RAG, prompt engineering, API-first patterns.
• Cloud proficiency (Google Cloud), BigQuery, Python.
• Excellent communication and stakeholder presentation skills.
• Bachelor's degree in CS/Engineering; Google Cloud certs preferred.