AI Systems Architect for Multi-Cloud

Seeking a proven AI systems architect who has successfully deployed production AI agents for real businesses. I need help designing a secure, multi-cloud AI system. The ideal candidate will have experience in cloud computing and security, ensuring the system is both efficient and protected. This role requires an expert level of proficiency to ensure the highest quality and reliability. AI Operations Architect / AI Agent Builder I own and operate multiple businesses across healthcare, consulting, ranching/agriculture, and related ventures. I am seeking an experienced AI architect to design and implement a practical AI assistant ecosystem that improves operational efficiency, communication, scheduling, documentation, SOP management, and executive decision support. This is not a simple chatbot project. I am looking for someone who has successfully deployed AI agents into real-world business operations. Phase 1 Objectives • AI assistant accessible via WhatsApp and/or Telegram • Integration with email, calendar, documents, and task systems • Knowledge retrieval across SOPs, contracts, policies, and business documentation • Executive assistant functionality • Workflow automation • Secure credential and data management Future Opportunities Multi-agent systems, department-specific agents, HR workflows, compliance tracking, reporting, analytics, voice interfaces, CRM integrations, and healthcare-specific workflows. Preferred Experience OpenAI, Claude, Gemini, LangGraph, CrewAI, OpenClaw, Hermes Agent, N8N, Make, Docker, Linux, VPS deployment, vector databases, RAG, API integrations, WhatsApp Business API, and Telegram bots. When Applying, Please Answer 1. Most advanced AI agent system you have built and deployed? 2. Is it still running today? 3. Provide screenshots or a short walkthrough. 4. What architecture would you recommend: single agent, multi-agent, orchestration framework, or other? 5. How would you handle security, credential management, and data segregation across multiple businesses? 6. What are the biggest mistakes owners make when implementing AI agents? 7. What would your recommended first 90-day roadmap be? Ideal Candidate Systems architect mindset, production experience, willing to challenge assumptions, strong communication skills, and interested in a long-term partnership. Budget: Flexible based on experience and demonstrated results. Please do not apply if you have not personally built and deployed AI agent systems.