Principal AI Architect · Artificial Intelligence Engineer · Multi-Agent Systems Developer · LLM Orchestration Expert
🤖 AI Architect & Autonomous Multi-Agent Systems Engineering
End-to-end architecture and deployment of autonomous multi-agent ecosystems, multi-provider AI routers, structure-preserving RAG vaults, and air-gapped enterprise AI middleware with real-time PII anonymization.
Technical Deliverables & Turnkey Architecture
Multi-Provider Agentic Orchestration: Unified workspaces and routers (modeled on NEX IDE and System-One Router) that combine Anthropic Claude, OpenAI, Google Gemini, and local models while cutting token usage by 80%–99%.
Sovereign & Air-Gapped Institutional AI (Safe Chat): On-premise AI middleware (modeled on Nexus Enterprise) that strips PII, IBANs, and trade secrets before external inference or runs 100% on local GPU clusters.
Autonomous Business & Operational Agents: Self-governing agents connected via secure MCP bridges to servers, browsers, ERP/CRM databases, WhatsApp, and email (proven in production on Qbits, VeRobots.net, and SereniCapelli.ro).
Cognitive Memory & Reasoning Transfer: Visual state machines (Nexor) and episodic-to-semantic memory compression (Medulla) that eliminate context drift on long-running autonomous workflows.
Target Engineering Roles & Specializations
Principal AI ArchitectArtificial Intelligence EngineerMulti-Agent Systems DeveloperLLM Orchestration Expert
When should a company hire an AI Architect instead of a standard prompt developer?
Prompt wrappers fail in production due to runaway API token bills, context window drift, hallucinations, and data leakage risks. An AI Architect designs the deterministic routing, context compression, PII anonymization, and MCP tool guardrails required for enterprise reliability.
Can you deploy private AI systems that comply with EU AI Act, GDPR, and NIS2?
Yes. We deploy single-tenant and air-gapped architectures with real-time Safe Chat PII tokenization and immutable compliance audit trails.
