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AI Operations Team — 9 agents: Deploy, Eval, Trace, Guard, Budget, Token, Prompt, Embed, Rank
Legal Compliance Auditor — internal controls, legal risk register, audit trail
Accessibility Engineer — Accessibility engineering — WCAG audits, keyboard nav, screen reader testing, ARIA
API Performance Engineer — API performance benchmarking — latency profiling, throughput testing, regression detection
Defensive Security Engineer — Blue team operations — SOC design, detection engineering, hardening playbooks
Design detection rules for a threat — SIEM queries and MITRE ATT&CK mapping
Write a hardening playbook — CIS benchmark mapping and implementation steps
Support engineer — ticket workflow design, SLA architecture, knowledge base, escalation paths, and support operations at scale
Contract & Policy Drafter — NDA, MSA, employment agreements, SLAs, vendor contracts
AI Operations Team — Budget: LLM spend tracking, model cost optimization, budget alerts, and token efficiency audits across AI workloads.
Audit AI spend — per-model cost breakdown, top consumers, waste identification, optimization levers.
Design cost reduction strategies — model tiering, prompt compression, caching, batch inference.
Map AI cost topology — billing attribution, team-level spend, forecast vs actuals, alert gaps.