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 architectures
Design Kubernetes and bare-metal inference serving platforms
Architect routing, quotas, observability, and multi-site failover
Define multi-tenant, sovereign,



hybrid, and air-gapped architectures
Review implementations and own technical outcome quality
Requirements: Eight years in infrastructure, platform, or machine learning engineering
Three years designing production AI or ML platforms at scale
Production LLM inference experience with performance tuning
Robust Kubernetes, Linux, GPU infrastructure, and networking knowledge
Deep knowledge of AWS, GCP, or Azure; AWS preferred
Apply your Kubernetes, GPU infrastructure, and LLM inference expertise to customer-focused AI architecture at Insight Softmax remotely.

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📌 Senior AI Infrastructure Architect (Manitoba)
🏢 Insight Softmax Consulting
📍 Manitoba