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 7 tagged AI roles in Healthtech. Layout is a Fruchterman-Reingold force simulation, run server-side to convergence.

agent_orchestration ↔ inference_infra (3 JDs)agent_orchestration ↔ model_serving (4 JDs)agent_orchestration ↔ llm_observability (4 JDs)agent_orchestration ↔ agent_research (1 JDs)inference_infra ↔ model_serving (4 JDs)inference_infra ↔ llm_observability (3 JDs)agent_research ↔ inference_infra (1 JDs)llm_observability ↔ model_serving (5 JDs)agent_research ↔ model_serving (1 JDs)agent_research ↔ llm_observability (1 JDs)llm_observability ↔ rag (4 JDs)evals ↔ llm_observability (2 JDs)evals ↔ rag (2 JDs)model_serving ↔ rag (4 JDs)evals ↔ model_serving (2 JDs)agent_orchestration ↔ rag (3 JDs)inference_infra ↔ rag (2 JDs)evals ↔ inference_infra (1 JDs)agent_orchestration ↔ evals (1 JDs)Agent orchestration N=5 JDs Top co-occur: Model serving ×4 · LLM observability ×4 · Inference infra ×3Agent orchestrationInference infra N=4 JDs Top co-occur: Model serving ×4 · Agent orchestration ×3 · LLM observability ×3Inference infraModel serving N=6 JDs Top co-occur: LLM observability ×5 · Agent orchestration ×4 · Inference infra ×4Model servingLLM observability N=5 JDs Top co-occur: Model serving ×5 · Agent orchestration ×4 · RAG ×4LLM observabilityAgent research N=1 JDs Top co-occur: Agent orchestration ×1 · Inference infra ×1 · Model serving ×1RAG N=4 JDs Top co-occur: LLM observability ×4 · Model serving ×4 · Agent orchestration ×3RAGEvals N=2 JDs Top co-occur: LLM observability ×2 · RAG ×2 · Model serving ×2Evals
7 tags · 19 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.