Tech-tag co-occurrence

Every AI role gets tagged from a 35-term controlled vocabulary spanning agent / eval / training / inference / modality clusters. Tags that frequently appear together in the same JD pull each other close; thicker edges = more co-occurrences. The clusters that emerge organically are the real sub-disciplines of applied AI engineering right now.

All sectors · 4742Enterprise · 1275AI Frontier · 868Industrial · 650Data AI · 526Consumer · 337Banking · 239Fintech · 220Robotics · 127Defense · 115Pharma · 101Media · 73Retail · 62Hospitality · 62Telecom · 27Seattle · 27Aerospace · 14Insurance · 12Healthtech · 7

Showing 12 tagged AI roles in Insurance. Layout is a Fruchterman-Reingold force simulation, run server-side to convergence.

agent_orchestration ↔ rag (2 JDs)inference_infra ↔ model_serving (5 JDs)agent_orchestration ↔ model_serving (3 JDs)agent_orchestration ↔ inference_infra (1 JDs)agent_orchestration ↔ llm_observability (4 JDs)llm_observability ↔ model_serving (3 JDs)llm_observability ↔ rag (2 JDs)model_serving ↔ rag (2 JDs)inference_infra ↔ rag (1 JDs)inference_infra ↔ llm_observability (1 JDs)llm_observability ↔ tool_use (1 JDs)agent_orchestration ↔ tool_use (1 JDs)agent_orchestration ↔ vector_db (1 JDs)agent_orchestration ↔ multimodal (1 JDs)rag ↔ vector_db (1 JDs)multimodal ↔ rag (1 JDs)multimodal ↔ vector_db (1 JDs)llm_observability ↔ vector_db (1 JDs)model_serving ↔ vector_db (1 JDs)llm_observability ↔ multimodal (1 JDs)model_serving ↔ multimodal (1 JDs)agent_orchestration ↔ guardrails (1 JDs)guardrails ↔ llm_observability (1 JDs)Agent orchestration N=8 JDs Top co-occur: LLM observability ×4 · Model serving ×3 · RAG ×2Agent orchestrationRAG N=3 JDs Top co-occur: Agent orchestration ×2 · LLM observability ×2 · Model serving ×2RAGModel serving N=7 JDs Top co-occur: Inference infra ×5 · Agent orchestration ×3 · LLM observability ×3Model servingInference infra N=5 JDs Top co-occur: Model serving ×5 · Agent orchestration ×1 · RAG ×1Inference infraLLM observability N=5 JDs Top co-occur: Agent orchestration ×4 · Model serving ×3 · RAG ×2LLM observabilityTool use N=1 JDs Top co-occur: LLM observability ×1 · Agent orchestration ×1Vector DB N=1 JDs Top co-occur: Agent orchestration ×1 · RAG ×1 · Multimodal ×1Multimodal N=1 JDs Top co-occur: Agent orchestration ×1 · RAG ×1 · Vector DB ×1Guardrails N=1 JDs Top co-occur: Agent orchestration ×1 · LLM observability ×1
9 tags · 23 co-occurrence edges · min edge weight 1. Bubble area ∝ JDs containing tag · edge thickness ∝ co-occurrence count. Hover any node for top-3 partners; click to see the JDs.

Tag velocity · last 4 weeks vs prior 4

Which technologies are hot, which are cooling. Sparkline = 12 weeks of unique roles tagged with each term, last bar on the right is this week. Sorted by absolute pickup. Tags with under 10 lifetime mentions are hidden as noise.

No velocity data yet.