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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal AI Platform Engineer - **Company:** Datasite LLC - **Location:** Minneapolis, MN, United States (Remote available) - **Salary:** $118,000.0 - $207,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Windows, Artificial Intelligence, Amazon Web Services, Macintosh Computers, Confluence, JIRA, Microsoft Azure, Cloud Computing, Configuration Management, Code Review, Disaster Recovery, Github, Infrastructure as a Service (IaaS), Subnetting, Platform as a Service (PAAS), Ansible, Prometheus, Scripting, Computer Networking Systems, Delivery Pipeline, Grafana, Technical Debt, Microsoft InTune, Kubernetes, Deployment Automation, Bicep, Casper Suite, Terraform, Network Server, Docker, Programming Languages - **Published:** July 3, 2026 - **Apply:** https://datasite.wd1.myworkdayjobs.com/datasite/job/Remote-USA/Principal-AI-Platform-Engineer_R36211 ## About the Role * Bachelor's degree in IT or related field, or equivalent experience * Operating production Linux (Ubuntu), Windows, and Mac across servers, workstations, and mobile, through scripting and automated configuration management * Substantial professional experience in planning, performance, monitoring, management, and cloud computing design * Hands-on cloud experience deploying IaaS and/or PaaS systems in Azure through automation * Working proficiency in several programming and scripting languages * Working knowledge of CIS security best practices * Experience with enterprise networks * Experience reducing and eliminating technical debt * Business continuity / disaster recovery practices * Experience with the following: + Intune + Cloud networking configuration and management + Kubernetes, Docker, and Argo for delivery + Azure (NSG, subnets, express routes, firewalls, peering), AWS, and GCP + Prometheus, Grafana, and Instana for observability + Terraform, Bicep, and Ansible for infrastructure-as-code + Entra and Sentinel for identity and security + GitHub, JIRA, and Confluence for the development workflow + JAMF experience a plus ## Description The Principal AI Platform Engineer covers enterprise-facing software development, DevOps, deployment, observability, and security. The person is a senior escalation path, and reviews code. We use Postgres, Kubernetes, Docker, Argo, and GitHub, and ship continuous delivery into zero-downtime environments. The role participates in the on-call rotation providing 24/7 coverage., * Use AI and agent workflows to build and operate the platforms the company runs on, including work that previously required a larger team. * Use AI as the cornerstone of all software development work including code creation, test engineering (unit and integration), performance tuning and optimization, deployment, and functional monitoring. * Set standards and review processes for AI-generated code, so what ships is safe to deploy. * Use infrastructure-as-code to automate provisioning, configuration, identity, and recovery for the enterprise cloud platform. * Build infrastructure to house internal applications and production quality datasets. * Secure and control access using SSO via Entra permissions, groups, and app registrations. * Accelerate and facilitate the deployment of the vision of SME AI developed applications and workflows. * Own resiliency for critical systems. Prevent outages where possible and shorten the ones that happen. * Work with architects and engineers to build security into the delivery pipeline. * Act as a senior escalation path. Document the work, review code, and cross-train other engineers. * Other duties as assigned ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code](https://www.wearedevelopers.com/videos/440-back-end-to-the-future-embracing-the-continuous-evolution-of-infrastructure-and-code) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [AI-Augmented DevOps with Platform Engineering](https://www.wearedevelopers.com/videos/1614-ai-augmented-devops-with-platform-engineering) ## Related Articles - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)