Senior Multi-Cloud AI Platforms Architect

Bradycorp; Milwaukee (WI); On-site; USD 180,000 - 260,000; Full time

Job summary

Brady Corporation seeks an Architect - Cloud & AI Platforms to lead hands-on cloud and AI infrastructure design and deployment. You will drive the multi-cloud strategy with a focus on GCP Vertex AI and significant Azure capabilities, ensuring secure, scalable, and cost-effective environments across our global operations.

You will mentor teams, establish IaC standards, and champion governance, while migrating legacy systems and optimizing AI workloads for enterprise use.

Qualifications

• Senior-level cloud architect with multi-cloud experience.
• Knowledge of AI/ML platforms and deployments.
• Experience with security/compliance standards in cloud environments.

Responsibilities

• Drive multi-cloud architecture and enterprise AI platform strategy.
• Architect, deploy, and operationalize enterprise AI capabilities including GenAI, RAG, and MLOps pipelines.
• Design, build, and maintain scalable cloud environments focusing on GCP and Azure.
• Document architecture and deployment diagrams; review deployments for standards adherence.
• Develop zero-downtime migration strategies to modernize legacy systems (primarily GCP).
• Promote IaC usage (Terraform, Ansible, Deployment Manager, ARM) to automate resources.
• Ensure architectures meet security standards and regulatory requirements (SOC2, GDPR).
• Establish AI governance, data privacy, safety guardrails, and secure AI/ML workflows.
• Design unified IAM across GCP and Azure (Entra ID) and monitor cloud usage for FinOps.

Skills

Cloud architecture

AI platforms

Security & compliance

FinOps

Tools

GCP Vertex AI

Azure OpenAI Service

Terraform

Ansible

Job description

Brady Corporation seeks an Architect - Cloud & AI Platforms to lead hands-on cloud and AI infrastructure design and deployment. You will drive the multi-cloud strategy with a focus on GCP Vertex AI and significant Azure capabilities, ensuring secure, scalable, and cost-effective environments across our global operations.

You will mentor teams, establish IaC standards, and champion governance, while migrating legacy systems and optimizing AI workloads for enterprise use.