Principal AI Platform Engineer

Datasite•Minneapolis, MN

2d•$117,500 - $206,700•Hybrid

About The Position

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.

Requirements

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
Business continuity / disaster recovery practices

Nice To Haves

Experience reducing and eliminating technical debt
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

Responsibilities

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