Role fit check
Hiring an AI Solution Architect? See if I fit.
Don't take my word for it. Paste the role description and test it against my documented work: 20+ years of supply chain, analytics and SAP at billion-dollar companies across three countries, plus 20+ AI solutions architected and built in just over a year. You get a verdict, the evidence, the honest gaps and a next step. It will say "not a fit" when that is true, because a fit claim is only worth something if it can say no.
Example output (demo)
Example: “AI Solution Architect, Supply Chain”
Example brief: design end-to-end enterprise AI solutions (LLM and agentic workflows, retrieval over company documents); integrate with SAP; partner with executives to turn business needs into AI architecture; establish responsible-AI governance; 5+ years of AI/ML experience; Azure preferred.
Evidence
| Requirement | Evidence | Strength | Link |
|---|---|---|---|
| AI solution / enterprise architecture | Architected B1Brain end to end: 20+ AI solutions in about two dozen repositories, organized in five layers. Own platform, not yet an enterprise production deployment | strong | Evidence |
| LLMs, agents & agentic workflows | Built an agent runtime, shared agent protocols and an OpenAI-compatible gateway across six execution surfaces, connected over MCP and A2A | strong | Evidence |
| Retrieval & agent memory | AgentMemory (deterministic agent memory over MCP) and the Wiki: 33,000+ repositories catalogued and served to agents. Own projects, pre-release | moderate | Evidence |
| AI governance & responsible AI | Governance designed in: deterministic foundations, a governed gateway with spend receipts, evidence gates and honest status labels. No formal AI-governance program owned yet | moderate | Evidence |
| Executive & stakeholder communication | Manager, Analytics & Market Intelligence since Oct 2025; trusted advisor to senior leadership on data and reporting | strong | Evidence |
| ERP / SAP integration for AI | SAP (ECC) key user since 2002, SAP MM certified (2011); redesigned and automated procure-to-pay in SAP ECC. No production SAP-to-AI integration delivered yet | moderate | Case study |
| Supply chain domain | Procurement, logistics, warehouse planning, inventory and procure-to-pay across 20+ years | strong | Evidence |
Honest gaps, and how I'd close them
- Years of hands-on AI experience. Just over a year of hands-on AI architecture and engineering (20+ solutions in that time), on top of 20+ years of enterprise process, data and SAP. If the role strictly requires several years of production AI, that is a real gap.
- Cloud platform (Azure preferred). My AI work is local-first on my own lab, with cloud APIs routed through a governed gateway. Would ramp on the employer's cloud stack.
Next step
Good match. Email me at acmbernie@gmail.com and I'll walk you through the B1Brain architecture and how it connects to supply-chain and SAP processes.
How it works: three layers that always answer. On-device AI when your browser has it, otherwise a cloud model (Groq, open-weight gpt-oss-120b), otherwise a local keyword match. Every layer may cite only items from my reviewed evidence file, every answer is validated before it is shown, and "not a fit" is an allowed answer.
Contact
Let's talk about your AI roadmap
I'm looking for an AI Solution Architect role where business process, enterprise data and AI meet, and where the goal is AI that actually changes how the business runs.
- acmbernie@gmail.com
- linkedin.com/in/bm2022
- GitHub
- github.com/bernie-b1stAI
- Location
- Houston, Texas, United States