
AI Systems Architect & Multi-Agent Automation Specialist
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Description
We are seeking an experienced AI Systems Architect to help design and implement a business intelligence and automation platform for a growing group of ecommerce, wholesale, retail, and distribution businesses operating across multiple channels.
This is not a chatbot project.
We are building an AI-powered operational framework that combines business intelligence, workflow automation, reporting, customer intelligence, inventory intelligence, procurement planning, and executive decision support.
The successful candidate will help us move from architecture and planning into technical implementation.
Scope of Work
We have already completed a significant amount of business analysis, workflow design, reporting frameworks, KPI structures, CRM architecture, inventory architecture, and operational process mapping.
We are now looking for a specialist to assist with:
AI Architecture
Multi-agent system design
Agent orchestration
Agent communication workflows
AI governance frameworks
Data Integration
Integrating multiple business systems including:
Ecommerce platforms
ERP / inventory systems
Payment gateways
CRM systems
Reporting systems
Communication platforms
Business Intelligence
Development of:
Executive dashboards
Daily reporting
Weekly reporting
Monthly reporting
KPI monitoring
Performance scorecards
Operational Automation
Workflows covering:
Customer management
Inventory management
Procurement
Order management
Quotations
Pre-orders
Finance reporting
Performance tracking
Ideal Experience
We are looking for someone with proven experience in one or more of the following:
AI Agent Architectures
Multi-Agent Systems
Workflow Automation
Business Intelligence Platforms
ERP Integrations
CRM Design
Ecommerce Integrations
API Design & Integration
Executive Reporting Systems
Operational Dashboards
Experience with AI tools such as:
Claude
ChatGPT
Gemini
is highly desirable.
Preferred Technical Skills
Examples include:
API Development
Python
Node.js
Database Design
Dashboard Development
ERP Integrations
Ecommerce Platforms
Workflow Automation Platforms
We are open to recommendations regarding technology stack and implementation approach.
Phase 1 Deliverables
Initial engagement will focus on:
Technical Architecture Review
AI Agent Framework Design
Integration Architecture
Data Flow Design
Reporting Architecture
Executive Dashboard Specification
Implementation Roadmap
What We Are Looking For
We are not looking for someone who only writes prompts.
We are looking for someone who understands how to design and build operational systems that combine:
Data
Automation
AI Agents
Reporting
Business Processes
into a cohesive platform.
To Apply
Please include:
Examples of relevant projects
Multi-agent or automation projects you have implemented
Business intelligence or reporting systems you have built
ERP, CRM, or ecommerce integration experience
Your recommended approach for implementing a scalable AI-powered business operating system
Engagement
We prefer to begin with a paid discovery and architecture phase before moving into implementation.
This project has long-term potential for the right consultant and may evolve into an ongoing technical advisory and development engagement.
Tim D.
99% (49)New Proposal
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Sign upClarification Board Ask a Question
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Hi Tim,
A few clarification questions to align architecture & Phase 1 design
1. Across ecommerce, ERP/inventory, CRM, and accounting systems—do you already have a defined master data model, or should Phase 1 establish a canonical source of truth for products, customers, orders, and financials?
2. Do you envision a central orchestrator agent coordinating specialized agents (inventory, finance, customer, procurement), or a more event-driven distributed agent system where agents act independently based on triggers?
3. Should agents operate strictly as analytical + reporting systems, or will certain agents be allowed to execute operational actions (e.g., reorder stock, adjust pricing, trigger procurement workflows)?
4. Do you currently have a centralized data warehouse/lake, or should we design one (e.g., SQL-based warehouse, event streaming layer) as part of the integration architecture?
5. For executive dashboards and KPI reporting, do you prefer a BI tool-based approach (Power BI/Metabase) or a fully custom-built dashboard layer integrated with the AI system?
6. Which processes are expected to be real-time (e.g., inventory, orders), and which can operate on scheduled intervals (daily/weekly reporting, financial reconciliation, performance scorecards)?
Looking forward to your response.
