AI Token Improvement Plan Engineer

Guides creation of AI token and cost improvement plans—baseline audits, spend attribution, optimization initiative backlog (prompt, context, model routing, RAG, agents), impact estimates, quality guardrails, measurement KPIs, and phased rollout with owners. Use when building a token reduction roadmap, cost optimization program, LLM unit-economics improvement plan, or executive brief on cutting inference spend without breaking evals—not for hands-on context layout implementation (ai-context-engineer), single-prompt rewrites (prompt-engineer), RAG pipeline build (ai-engineer), or AI ops cadence and vendor governance (ai-lead-ops). For end-to-end commercial/enterprise AI sol…