AI Platform Engineer: GCP, MLOps & Platform Enablement

The Aspen Group; Chicago (IL); On-site; USD 130,000 - 180,000; Full time

Benefits offered by this job

Paid time off

Health insurance

401(k) with match

Job summary

The Aspen Group (TAG) is seeking an AI Platform Engineer to own the foundation enabling AI across the business. The role is built on Google Cloud and anchored by Claude Enterprise and Gemini Enterprise, with a focus on safe, reliable, and productive AI usage.

You’ll deploy, scale, and operate AI workloads, onboard users, govern extensions, and build internal tooling to make AI a core part of daily workflows.

Qualifications

• 3–5 years in platform engineering, DevOps, SRE, or similar.
• Hands-on Google Cloud (GCP) experience essential; AWS/Azure welcome but not central.
• Familiarity with LLMs, AI APIs, prompting, RAG, embeddings, and agents.

Responsibilities

• Operate and extend AI/LLM platforms on Google Cloud and Gemini Enterprise.
• Manage onboarding, license/seat assignments, SSO, and access governance.
• Build platform extensions, plugins, and marketplace integrations.
• Develop internal tooling, copilots, and reusable templates for AI workflows.
• Provide enablement, training, and strong documentation for engineers.

Skills

Google Cloud (GCP)

Kubernetes

Docker

Terraform / IaC

SRE / MLOps

CI/CD

LLMOps

Onboarding & IAM

Observability

Cloud cost governance

Education

BS/BA in CS or related field

Tools

Terraform

Kubernetes

Docker

Job description

The Aspen Group (TAG) is seeking an AI Platform Engineer to own the foundation enabling AI across the business. The role is built on Google Cloud and anchored by Claude Enterprise and Gemini Enterprise, with a focus on safe, reliable, and productive AI usage.

You’ll deploy, scale, and operate AI workloads, onboard users, govern extensions, and build internal tooling to make AI a core part of daily workflows.