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# Architect, Cloud & AI Platforms

- **Company:** BRADY WORLDWIDE INC
- **Location:** Milwaukee, WI, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Systems Engineering, Microsoft Azure, Bash Shell, BigQuery, Cloud Computing, Cloud Database, Cloud Engineering, Cloud Storage, Computer Networks, Distributed Systems, Github, Identity and Access Management, Virtual Private Networks (VPN), Python (Programming Language), Machine Learning, SQL Azure, Routing, Ansible, Software Engineering, Virtual Machines, Scripting, Google Cloud, Load Balancing, Cloud Platform System, Large Language Models, Multi-Agent Systems, Multi-Cloud, Generative AI, Firewalls (Computer Science), Amazon Virtual Private Cloud (VPC), AI Platforms, Gitlab-ci, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Azure AKS, Machine Learning Operations, Terraform, Azure Resource Manager, Docker, Legacy Systems, Jenkins, Golang
- **Published:** September 16, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=4dc9c1e83b836220

## About the Role

* Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent practical experience).
 * 5+ years of experience in IT infrastructure, software development, or systems engineering.
 * 3+ years of dedicated experience designing and deploying complex cloud architecture.
 * Deep, hands-on expertise with Google Cloud Platform services (e.g., Compute Engine, GKE, Cloud Storage, BigQuery, Cloud SQL, VPC Networks, Cloud IAM).
 * Exceptional working knowledge of Microsoft Azure (e.g., Azure Virtual Machines, AKS, Azure SQL, Blob Storage, Virtual Networks).
 * High proficiency with Docker and Kubernetes, specifically managed services like Google Kubernetes Engine (GKE) and Azure Kubernetes Service (AKS).
 * Exceptional experience with CI/CD pipelines (e.g., GitLab CI, GitHub Actions, Jenkins) and scripting languages (Python, Bash, Go).
 * Solid understanding of multi-cloud networking concepts, including site-to-site VPNs, cross-cloud routing, firewalls, and load balancing.
 * Exceptional analytical skills with the ability to troubleshoot complex, distributed systems across multiple cloud providers.
 * Exceptional verbal and written communication skills; ability to explain complex technical concepts to both engineering teams and non-technical stakeholders.
 * Google Cloud Certified - Professional Cloud Architect (Highly Preferred).
 * Microsoft Certified: Azure Solutions Architect Expert (Preferred).

## Description

* Architect, deploy, and operationalize enterprise AI capabilities, including Generative AI models, Retrieval-Augmented Generation (RAG) architecture, LLM fine-tuning pipelines, and agentic workflows using platform tooling such as GCP Vertex AI and Azure OpenAI Service.
 * Design, build, and maintain scalable and resilient cloud environments, serving as the primary architect for our GCP environment while supporting and integrating our Azure footprint.
 * Document cloud architecture and deployment diagrams, and review cloud deployments with teams to ensure adherence to standards.
 * Evaluate existing legacy infrastructure and develop comprehensive, zero-downtime migration strategies primarily targeting GCP.
 * Champion the use of IaC tools (e.g., Terraform, Ansible, Google Cloud Deployment Manager, Azure Resource Manager) to automate the provisioning and management of cloud resources.
 * Ensure all cloud architectures meet strict industry security standards and regulatory compliance (e.g., SOC2, GDPR).
 * Establish robust AI governance, data privacy, safety guardrails, and secure MLOps practices to safeguard enterprise data and prevent model drift or vulnerability exploitation.
 * Design robust, unified Identity and Access Management (IAM) protocols across both GCP and Azure (Entra ID).
 * Continuously monitor cloud usage and implement FinOps best practices to optimize spend across our multi-cloud environment.
 * Act as a technical liaison between business units and engineering teams, and mentor team members on GCP and Azure best practices.