AI Architect

Description

**Position: AI Architect** **Employment Type: PJ (Individual Contractor)** **Work Mode: Remote** **Work Location: Remote** **Education: Bachelor's Degree or higher** **Mandatory Requirements / Technologies / Knowledge Required** **Key Responsibilities** Key expected expertise: AI and LLM Architecture; Advanced RAG patterns (multi\-query, hybrid search, re\-ranking, GraphRAG); Multi\-Agent Systems; MCP (Model Context Protocol); A2A (Agent\-to\-Agent); Vibe Coding and AI\-assisted development (Claude Code, Antigravity, and similar tools); Spec\-Driven Development (SDD); Vector databases (Pinecone, ChromaDB, FAISS, Vertex AI Vector Search, and equivalents); Distributed systems, messaging, observability, and resilience. **Preferred Qualifications:** Experience with Google Cloud, especially Vertex AI, Gemini Enterprise, ADK, Agent Builder, BigQuery, and Spanner; Experience in regulated environments, such as banking and payments; Experience deploying large\-scale AI systems into production; Participation in communities, open source projects, publications, or speaking engagements in the AI field.