Enterprise AI & Cloud Infrastructure Architect

Stikeman Elliott LLP; Toronto; On-site; CAD 115,000 - 130,000; Full time

Job summary

Stikeman Elliott LLP is seeking an AI & Cloud Infrastructure Specialist in Toronto to design, deploy, and operate secure cloud infrastructure for internal AI platforms, including control planes, data stores, and API gateways. You will work across identity, access, and secret management, enabling secure model deployment and enterprise integration.

You will lead efforts in Terraform-based deployments, CI/CD pipelines, and robust observability while collaborating with security and business

Qualifications

• 8+ years in cloud infrastructure, platform engineering, or DevOps with production AI/ML/LLM exposure.
• Experience designing, deploying, securing, and operating cloud environments in regulated/confidential settings.
• Ability to influence technical teams and senior stakeholders as a SME.
• Familiarity with enterprise systems like document/email management, CRM, matter management, time/billing, data rooms, and AI integrations.

Responsibilities

• Design, deploy, and maintain secure, scalable cloud infrastructure for AI workloads and related services.
• Architect and manage enterprise API gateway and connectivity for AI platforms.
• Manage AI model deployment lifecycle from provisioning to production operations.
• Collaborate on identity, access, and secrets management for AI systems.
• Implement monitoring, logging, and cost telemetry across the AI ecosystem.
• Partner with vendors and internal teams to ensure secure integrations and governance.

Skills

Azure cloud

API management

Terraform

CI/CD pipelines

Security & IAM

Networking & private endpoints

Containerized environments

LLM platform deployment

Model deployment & embeddings

Enterprise integrations

Microsoft Graph APIs

RBAC

Tools

Terraform

API gateway

Azure AI Foundry

OpenAI

Anthropic

Kubernetes

Job description

Stikeman Elliott LLP is seeking an AI & Cloud Infrastructure Specialist in Toronto to design, deploy, and operate secure cloud infrastructure for internal AI platforms, including control planes, data stores, and API gateways. You will work across identity, access, and secret management, enabling secure model deployment and enterprise integration.

You will lead efforts in Terraform-based deployments, CI/CD pipelines, and robust observability while collaborating with security and business