AI Operations & RAG Architect
Core
Building the central knowledge base and secure RAG structures to bridge raw data with AI assistants for internal team productivity.
Role type
AI Operations & RAG Architect
Builds
Secure RAG architectures, vector databases, data pipelines, and AI agent workflows for internal use.
Domain
Autonomous logistics / Enterprise AI / Supply Chain
Deliverable
production ML models
Required skills
Enterprise AI platform administration, Python, Vector databases, AI orchestration frameworks, IAM integration, Data privacy standards
Preferred skills
LLM latency optimization, Prompt injection defense, Shadow AI monitoring
Technologies
Gemini, Claude, ChatGPT, Pinecone, LangChain, LlamaIndex, Zapier, Google, Okta
Responsibilities
Administer AI suite (Gemini CLI, Claude Code, Granola AI), Design and maintain vector databases and data pipelines, Build and tune AI agents for business processes, Implement Identity-Aware Retrieval, Protect against AI-specific threats (prompt injection, data poisoning), Monitor LLM latency, token usage, and accuracy
Seniority
Mid-to-Senior, hands-on IC