AI Platform Engineer

The Aspen Group•Chicago, IL

1d•$111,000 - $135,000•Hybrid

About The Position

The Aspen Group (TAG) is seeking an AI Platform Engineer to join their expanding Platform Engineering organization. This role will be responsible for owning and maintaining the company's AI platform, built on Google Cloud and utilizing platforms like Claude Enterprise and Google's Vertex AI (Gemini Enterprise Agent Platform). The engineer will manage user onboarding, curate the ecosystem of plugins and connectors, and build agents and tooling to integrate AI into everyday infrastructure. This is a hands-on, high-impact position with significant growth potential as the company's AI practice matures. It is ideal for an engineer with experience in Platform Engineering, DevOps, SRE, or MLOps who is passionate about AI enablement and enjoys end-to-end platform ownership.

Requirements

3–5 years in platform engineering, DevOps, SRE, MLOps, backend, or a similar software/infrastructure role.
Strong programming skills in Python, with comfort in at least one other language (JavaScript/TypeScript, Go, or Java a plus).
Hands-on experience with Google Cloud (GCP) as a primary cloud platform.
Working knowledge of how LLMs and AI APIs are used in applications (prompting, RAG, embeddings, tool/function calling, agents) or strong fundamentals and eagerness to learn.
Experience with containers and orchestration (Docker, Kubernetes).
Experience with infrastructure-as-code (Terraform or similar).
Experience building and operating AI Delivery workstreams and production services.
Experience with identity, access, and provisioning (SSO/SAML/SCIM, role and group management, user lifecycle).
Solid grasp of AI monitoring/observability and operational best practices.
Clear written and verbal communication skills, including the ability to explain technical concepts to non-experts and write documentation.
Based in (or willing to relocate to) the Chicago area and able to work onsite/hybrid.

Nice To Haves

Direct experience with Claude Enterprise (deployment, administration, onboarding, plugins, connectors, MCP).
Experience with Gemini Enterprise and/or the Gemini Enterprise Agent Platform (Agent Builder/Agent Engine, Agent Garden, Model Garden, RAG/Vector Search).
Experience managing and creating platform extensions, a plugin ecosystem, or an internal app/agent marketplace.
Direct experience with LLMOps/MLOps tooling (model serving, vector databases, evaluation frameworks, agent orchestration like ADK, LangChain/LlamaIndex).
Experience deploying or integrating enterprise AI tools (e.g., Claude, Gemini, GitHub Copilot, NotebookLM) across an organization.
Experience building internal developer platforms or developer-experience tooling.
Familiarity with AI governance, security, or responsible-AI frameworks.
Experience running enablement, training, or developer-advocacy programs.
Familiarity with the stack: Google Cloud / BigQuery, Atlassian (Jira/Confluence), incident.io, Grafana/OTEL, Sentry, Microsoft 365.
Degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Responsibilities

Deploy, scale, and operate Claude Enterprise, Gemini Enterprise, and related AI/LLM workloads in production, ensuring reliability, performance, and cost-effectiveness.
Build and maintain CI/CD pipelines, infrastructure-as-code, and deployment automation for AI applications, agents, and models on the Gemini Enterprise Agent Platform (formerly Vertex AI).
Implement monitoring, logging, and observability for AI systems, tracking key metrics and responding to issues as part of an on-call rotation.
Manage integrations with model providers and APIs (Claude, Gemini, code assistants), including authentication, rate limits, quotas, and failover.
Own the end-to-end onboarding experience for Claude Enterprise and Gemini Enterprise, including provisioning, license assignment, SSO, and role configuration.
Manage the full user lifecycle for AI tools, ensuring accurate and auditable access, entitlements, and seat assignments.
Build automation and self-service flows for user access to approved AI tools.
Track adoption and seat utilization, and collaborate with IT and Security on identity, access reviews, and provisioning workflows.
Manage and curate platform extensions for Claude Enterprise (plugins, connectors, MCP integrations) and Gemini Enterprise / Agent Platform (Agent Garden, Model Garden, connectors).
Operate the internal marketplace/catalog for approved extensions, agents, and integrations, including review, vetting, publishing, versioning, and retirement.
Define processes for requesting, evaluating, and governing extensions, balancing self-service with security and data-handling requirements.
Build and integrate custom plugins, connectors, and MCP servers to link AI platforms with internal systems and data.
Develop internal tools, copilots, and agents on the Gemini Enterprise Agent Platform and Claude to facilitate AI adoption.
Create reusable templates, reference architectures, and libraries for common AI patterns (RAG, summarization, agents, evaluations).
Integrate AI capabilities into existing internal systems and the developer toolchain.
Support engineers and teams in adopting AI tools through documentation, office hours, demos, and hands-on assistance.
Create and maintain best-practice guides, prompt libraries, and onboarding materials.
Gather user feedback to prioritize platform improvements and identify new opportunities.
Help define and implement standards, guardrails, and policies for safe, secure, and responsible AI use.
Build evaluation harnesses and quality checks to measure AI output quality and detect regressions.
Partner with Security, IT, and leadership on compliance, access provisioning, and cost governance.