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.

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