

Nonnemacher Consulting

Nonnemacher Consulting LLC

Welcome
Whether you're building an autonomous research pipeline, rescuing a stalled AI project, or standing up cloud infrastructure with enterprise discipline, we bring nearly a decade of consulting experience and a simple promise: you'll understand every system we hand you.
About Me.
I'm Grant Nonnemacher, founder of Nonnemacher Consulting. By day, I work as a Senior Cloud Engineer inside a global enterprise, where I lead cloud architecture and AI initiatives across large-scale, multi-vendor environments — the kind where identity, access control, rate limits, and retention policies aren't afterthoughts but the whole game. For nearly a decade, I've brought that same enterprise discipline to my consulting clients.
My work today centers on production-grade AI systems: agentic pipelines, retrieval-augmented (RAG) architectures, and the cloud infrastructure that keeps them fast, affordable, and reliable. I've delivered autonomous research synthesis platforms for research-driven firms and redesigned enterprise AI assistants that failed under real-world load — usually not because the AI was wrong, but because the architecture was.
Two things define how I work. First, precision in scoping: I state what's out of scope as clearly as what's in it, because contained rollouts succeed and sprawling ones don't. Second, documentation-first delivery: every engagement ends with diagrams, decisions, and plain-language explanations your team can actually use. My goal isn't to make you dependent on me — it's to leave you with a system you understand and own.
When I'm not building, I'm usually diagramming the next thing.
Our Work
Agentic Research Literature Pipeline
We designed and delivered an AI-powered research pipeline that autonomously ingests, deduplicates, and synthesizes academic literature — transforming a manual review process into an evolving institutional knowledge base. The MVP shipped with a Python/FastAPI backend, a React dashboard, semantic search on Postgres with pgvector, automated arXiv ingestion, and scheduled synthesis reports. Built to be evaluated, not just received: every component was documented so the client could inspect, question, and shape the system from day one.
Tech highlights : Python · FastAPI · React · Postgres + pgvector · OpenAI · AWS
Enterprise IT Operations Assistant
When a global manufacturer's internal IT chatbot failed under real-world load — rate-limit errors, unusable latency — the root cause wasn't the AI. It was architecture: every user question triggered live calls to three separate vendor APIs. We re-scoped the system around a core principle: decouple ingestion from query. The redesigned retrieval-augmented (RAG) architecture grounds an Azure OpenAI assistant on ticketing, monitoring, and cloud inventory data, with role-based access for three stakeholder tiers and a clearly contained initial rollout scope.
Tech highlights: Azure OpenAI · RAG · Entra ID · ITSM & monitoring integrations
Cloud & Platform Engineering
Beyond AI, we bring senior-level cloud engineering across Azure and AWS: designing data pipelines, scheduling architectures, cost-conscious deployments, and integrations that respect enterprise realities — identity, access control, retention policies, and vendor API limits. Whether you're standing up new infrastructure or untangling an inherited system, we scope precisely, state what's out of scope just as clearly, and deliver systems your team can run without us.
Get to Know Us
Grant Nonnemacher is a senior cloud engineer and AI consultant with nearly a decade of experience building production-grade systems for enterprises and research firms. Through Nonnemacher Consulting, he specializes in agentic AI pipelines, RAG architectures, and cloud infrastructure that's built to be understood, operated, and owned by your team.
Services
- Price Negotiable
- Price Negotiable
- Price Negotiable
- Price Negotiable




