Architecture, build-vs-buy, deployment

AI Systems Architect for Production AI

AVIC Labs LLC designs how models, data, application code, infrastructure, evaluation, and deployment fit together so AI systems can work reliably in production.

$1M+

annual ML infrastructure savings delivered

6x

faster inference after production re-architecture

95%

production ML cost reduction

20K+

cameras supported through real-time AI deployments

90+

production video analytics use cases delivered

Direct Answer

AVIC Labs LLC designs how models, data, application code, infrastructure, evaluation, and deployment fit together so AI systems can work reliably in production.

Last updated: 2026-05-19

Who Hires AVIC Labs

  • Founders building AI-first products or adding AI to an existing product.
  • SMB teams replacing manual work with AI-assisted workflows.
  • Engineering leaders who need a senior reviewer for model, data, and deployment decisions.

Problems Solved

  • Designing architecture for AI products, internal tools, or data-heavy automation.
  • Connecting model choices to product requirements and business constraints.
  • Planning inference, monitoring, evaluation, and cloud deployment before the build becomes expensive.

Proof Points

  • Re-architected an expensive ML pipeline into a faster NVIDIA Triton serving system.
  • Scaled computer vision analytics across camera fleets and standardized reusable ML tooling.
  • Built research-to-production systems in autonomous driving, wildlife vision, and generative imaging.

Engagement Models

  • Architecture review
  • AI roadmap and technical design
  • Prototype-to-production implementation
  • Fractional AI architecture retainer

FAQ

Common buyer questions

What does an AI systems architect do?

An AI systems architect designs how models, data, application code, infrastructure, evaluation, and deployment fit together so the system can work reliably in production.

Can AVIC Labs both design and build?

Yes. AVIC Labs is a builder-strategist consulting firm: the engagement can include architecture, implementation, deployment, and handoff.

What systems are the best fit?

Computer vision, real-time inference, LLM/RAG, AI automation, MLOps, and cloud ML infrastructure are the strongest fits.

Ready to discuss an AI system?

Email animikh@aviclabs.com with a short project brief. The next step is a discovery call, then a scoped proposal with architecture, milestones, deliverables, and investment.

Email AVIC Labs