Principal AI Platform Engineer

Booster; United States; Hybrid; USD 117,500 - 206,700; Full time

Benefits offered by this job

Health insurance

Retirement savings plan

Paid time off

Job summary

Booster is seeking a Principal AI Platform Engineer to lead enterprise software development and DevOps efforts. The role involves building and operating platforms utilizing AI, managing deployment, and ensuring security. Candidates should have substantial cloud experience, specifically with IaaS/PaaS systems in Azure, and a relevant degree.

This position offers flexible work arrangements with options for remote work or a hybrid model in Minneapolis or New York City. Compensation ranges from $117,500 to $206,700, along with various benefits including health insurance and retirement plans.

Qualifications

• Hands-on cloud experience deploying IaaS and/or PaaS systems.
• Experience with enterprise networks and reducing technical debt.
• Familiarity with CIS security best practices.

Responsibilities

• Build and operate platforms using AI and agent workflows.
• Implement infrastructure-as-code for the enterprise cloud platform.
• Act as a senior escalation path and review processes.

Skills

Production Linux (Ubuntu)

Cloud computing design

Kubernetes

Docker

GitHub

Terraform

Ansible

Scripting languages

Education

Bachelor's degree in IT or related field

Tools

Intune

Prometheus

Grafana

Microsoft Azure

AWS

GCP

Job description

Job 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.

Duties and 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.

Qualifications

• 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

Work Location & Flexibility

This position can be located remotely; however, if the candidate is based in our Minneapolis or New York City locations the office follows a hybrid work model. Employees in these locations are expected to work on‑site minimum two days per week. Please note that specific business units or role requirements may necessitate additional in‑office days based on team collaboration needs or operational priorities.

Compensation

The base salary range represents the estimated low and high end for this position based on a good faith assessment of the role and market data at the time of posting. Consistent with applicable law, each candidate’s compensation offer may vary and will be determined based on but not limited to, your geographic region, skills, qualifications, and experience along with the requirements of the position. This position may be eligible for bonuses, commissions, or overtime if applicable. Benefits include health insurance (medical, dental, vision), a retirement savings plan, paid time off, and other employee benefits. Specific details will be provided during the interview process. Datasite reserves the right to modify this pay range at any time.

$117,500.00 – $206,700.00

Our company is committed to fostering a diverse and inclusive workforce where all individuals are respected and valued. We are an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other protected characteristic. We encourage applications from candidates of all backgrounds and are dedicated to building teams that reflect the diversity of our communities.