AI Platform Engineer

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S., supporting over 23,000 healthcare professionals and team members at more than 1,150 locations across 48 states. Our five supported healthcare practices operate under the brands Aspen Dental, Clear Choice, Well Now, Chapter Aesthetic Studio, and Lovet. We’re committed to enabling healthcare professionals to focus on patient care while we handle the business operations that support them.

We are seeking an AI Platform Engineer.

Our Platform Engineering organization — spanning Delivery, Cloud, and SRE — is expanding to lead and maintain the company’s AI platform across the business. We’re hiring an AI Platform Engineer to own the foundation that lets every team use AI safely, reliably, and productively — built on Google Cloud and anchored by our two flagship enterprise AI platforms:
Claude Enterprise and Google’s Vertex AI (Gemini Enterprise Agent Platform).

In this hands on role you’ll:

• Operate and extend these platforms
• Manage the end-to-end onboarding of users and teams onto them
• Curate and govern the surrounding ecosystem of plugins, connectors, and marketplace extensions
• Build the agents, tooling, and paved paths that turn AI from a novelty into everyday infrastructure.

You’ll do this on Google Cloud, increasingly through the Gemini Enterprise Agent Platform (formerly Vertex AI). It’s a high-impact position with significant room to grow as our AI practice matures.

This is a strong fit for an engineer with a few years of Platform Engineering, Dev Ops, SRE, or MLOps experience who is excited about AI enablement; someone who likes owning a platform end to end, from provisioning and onboarding through operations and governance.

• Deploy, scale, and operate Claude Enterprise, Gemini Enterprise, and related AI/LLM workloads in production (be it Google Cloud or Anthropic); keeping them reliable, performant, and cost-effective.
• Build and maintain CI/CD pipelines, infrastructure-as-code, and deployment automation for AI applications, agents, and models, increasingly on the Gemini Enterprise Agent Platform (formerly Vertex AI).
• Instrumentation of AI systems with monitoring, logging, and observability (tracking latency, quality, usage, and spend) and responding to issues as part of an on-call rotation.
• Manage integrations with model providers and APIs (Claude, Gemini, and code assistants), including authentication, rate limits, quotas, and failover.

• Own the end-to-end onboarding experience for Claude Enterprise and Gemini Enterprise: provisioning, license/seat assignment, SSO, and group/role configuration.
• Manage the full user lifecycle — onboarding, role changes, and deprovisioning — keeping access, entitlements, and seat assignments accurate and auditable.
• Build automation and self-service flows so new users and teams get access to approved AI tools, with the right permissions, from day one.
• Track adoption and seat utilization, and partner with IT and Security on identity, access reviews, and provisioning workflows.

• Manage and curate platform extensions across our AI stack — Claude Enterprise plugins, connectors, and MCP integrations, plus Gemini Enterprise / Agent Platform extensions (Agent Garden, Model Garden, connectors).
• Run the internal marketplace/catalog of approved extensions, agents, and integrations: review, vet, publish, version, and retire them.
• Define how extensions are requested, evaluated, and governed — balancing easy self-service adoption against security and data-handling requirements.
• Build and integrate custom plugins, connectors, and…