📍 Greenville, SC · vizius.com · LinkedIn
I build AI systems that actually work inside enterprise environments. Not just demos, not just proof-of-concepts, but production-grade platforms that handle real data, real security requirements, and real organizational complexity.
At The Vizius Group, I design and deploy custom AI agents, RAG systems, and Azure-native data pipelines for mid-market and enterprise clients in manufacturing, healthcare, and financial services. The work usually starts with a business problem nobody has been able to solve cleanly: margin analysis at scale, fragmented ERP data, SharePoint content that is impossible to search. It ends with something a non-technical team can actually run.
What I have found after 13+ years building these systems: the hardest part is never the technology. It is designing the solution so the people who inherit it have a quality product that just works, no headaches.
Every engagement follows the same pattern. Discovery first: map the existing workflow, diagnose where it breaks, and turn that into a fully documented solution with executive summary, architecture design, and technical specifications before a single line of code is written. Then build for handoff: JIRA boards decomposed to the User Story level, documentation written for the developer who inherits the system, not the one who built it. Compliance and security are not afterthoughts. They are built into the architecture.
The core technical surface area is Azure cloud infrastructure, AI agent design and deployment, RAG pipelines, event-driven microservices, and Microsoft Graph integrations. The stack usually involves some combination of Azure Service Bus, Azure OpenAI, Python and .NET backends, Docker, and vector databases. The constraint is always the same: it has to run in the client's own environment, secured to their standards, owned by their team.
Autistic / Neurodivergent. 13+ years building systems across AI, enterprise automation, healthcare, financial services, and cybersecurity.
First job out of college was building 3D medical imaging software at GE Healthcare IT, the kind of work where accuracy is not optional. Then I started building insurance systems at a small shop in Schenectady where the clients sat in front of the software all day and told you directly when something did not work. Founded a B2B financial advisor matchmaking platform, which meant doing every job at once: product, engineering, operations, hiring, strategy. Spent nearly two years doing deep enterprise data integration work at a local real estate firm before moving into full-time AI consulting.
The through-line across all of it: building things that work correctly, that non-technical teams can operate, and that do not require the original engineer to keep running.
- Certified ScrumMaster (CSM) — Scrum Alliance
Working on an AI or Azure engagement and want to understand what the implementation actually looks like under the hood?
- Vizius Group: vizius.com
- Email: adam.steinberger@vizius.com
- LinkedIn: adammatthewsteinberger