AI architecture, deployed to production by a senior engineer
Most AI projects die in the gap between a demo that works on a laptop and a system that runs reliably in production. AI architecture is what closes that gap: choosing the right model and pattern, wiring agents and retrieval into your real data, and deploying it so it stays up, stays secure, and stays affordable. ResonateOps is run by a Sr DevOps Engineer with 10+ years of production software and CKA + CKAD certifications, so the AI you get is engineered like infrastructure, not glued together in a no-code tool. Three weeks from first call to a deployed system, fixed price agreed up front, 60-day operational guarantee.
What does an AI architecture consultant actually do?
An AI architect decides how the pieces fit together so the system survives contact with real usage. That means selecting the model and the pattern (single prompt, RAG, multi-step agent, or a mix), designing how it reads and writes your data, and handling the unglamorous parts that decide whether it works: authentication, rate limits, cost controls, evaluation, observability, and fallback behavior when a model is wrong.
- Model and pattern selection (RAG vs agents vs fine-tuning) grounded in your actual data and budget
- Retrieval and memory design so answers are accurate and cite real sources
- Production concerns: secrets, cost guardrails, logging, evaluation, and graceful failure
- Deployment on your stack or cloud (GCP, AWS, Kubernetes) with a clear handoff
Why a senior engineer instead of a no-code agency?
No-code automation is great for a quick proof of concept and brittle the moment volume, edge cases, or compliance show up. A senior engineer can use those same tools when they are the right call and drop down to real code when they are not. The difference shows up at month two, when the demo needs to be a dependable system your team trusts.
Your build is delivered with working code you own, documentation, and a deployment you can keep running, not a workflow locked inside a vendor account.
What you get
A concrete architecture for your use case, built and deployed in three weeks for a single fixed price, with a 60-day operational guarantee after launch.
- A working, deployed AI system on your existing stack
- Code ownership and documentation, not a locked vendor workflow
- Cost and reliability guardrails so it is safe to leave running
Frequently asked questions
Do you only build with one AI provider?
No. The architecture picks the model that fits the task and budget, and is designed so a provider can be swapped without a rewrite. Production AI should not be locked to a single vendor.
Can you deploy into our existing cloud or Kubernetes cluster?
Yes. With CKA and CKAD certifications and 10+ years of production DevOps, deploying into your GCP, AWS, or Kubernetes environment, with proper secrets and observability, is the core competency.
How is this priced?
A single fixed price agreed up front after a free discovery call, not hourly. Three-week timeline, 60-day operational guarantee after deploy.
Let's talk for 15 minutes about your operation.
A free call. I'll tell you straight which processes today's AI can solve and what your infrastructure needs for them to actually run. If it fits, we move forward. If not, I point you the right way, free.