Design production AI infrastructure with Kubernetes and GPU expertise at Insight Softmax, working remotely across Latin America and Canada business hours. Lead customer architecture engagements for inference platforms, gateways, and large-scale AI services.
As an AI Architect, you will serve as the senior technical voice for customers operating AI infrastructure. You will shape architectures for GPU clusters, LLM inference, AI gateways, and supporting services. The work spans discovery, reference architectures, recommendations, estimates, prototypes, and implementation review.

Key Responsibilities

Lead discovery and translate goals into AI platform architecturesDesign Kubernetes and bare-metal inference serving platformsArchitect routing, quotas, observability, and multi-site failoverDefine multi-tenant,



sovereign, hybrid, and air-gapped architecturesReview implementations and own technical outcome qualityRequirements:
Eight years in infrastructure, platform, or machine learning engineeringThree years designing production AI or ML platforms at scaleProduction LLM inference experience with performance tuningStrong Kubernetes, Linux, GPU infrastructure, and networking knowledgeDeep knowledge of AWS, GCP, or Azure;
AWS preferredApply yourKubernetes, GPU infrastructure, and LLM inference expertise to customer-focused AI architecture at Insight Softmax remotely.

📌 Senior Ai Infrastructure Architect (Canada)
🏢 Insight Softmax Consulting
📍 Canada