AWS Solutions Architect: Global IoT & MLOps Infrastructure (Terraform)

I am the founder of a hardware startup scaling a new IoT invention (smart thermal printers) to millions of global physical endpoints. I need an elite, senior-level AWS architect to design and deploy the cloud infrastructure. The Workflow: Millions of physical devices will send files to our AWS backend. An AI computer vision model (YOLO) will process and crop the image in real-time, and return the payload to the physical device for printing. This must be imperceptible to the user. Requirements: Infrastructure as Code (IaC): 100% of the environment must be built using Terraform. No manual console deployments. Global Edge Routing: Experience with AWS Route 53, Global Accelerator, and API Gateway for ultra-low latency. MLOps / GPU Auto-scaling: You must know how to deploy computer vision models (e.g., using SageMaker or EKS) on GPU instances (g4dn/T4) and configure dynamic auto-scaling to keep costs down during low traffic. IoT Security: Experience with AWS IoT Core and managing mutual TLS (mTLS) for hardware authentication. High Availability: Must architect an active-active multi-region failover. If US-East drops, the printers cannot go offline. To Apply: Please begin your proposal with the phrase "Zero Downtime." Include a brief overview of how you would handle the GPU auto-scaling for the YOLO model, and confirm your experience writing Terraform for AWS IoT deployments. Must hold an active AWS Solutions Architect Professional certification.