Senior AI Platform Administrator

Senior AI Platform Administrator

Rate: $33-$44/hour

ROLE SUMMARY

This is a hands-on operational role responsible for the day-to-day deployment, administration, security integration, and governance of enterprise AI platform tenants, including Claude Enterprise and ChatGPT Enterprise. This is not an architecture or advisory position. The individual will own platform operations from day one, including tenant configuration, user lifecycle management, connector governance, audit log pipelines, incident response, and ongoing security controls within a regulated enterprise environment. No protected health information is processed, stored, or permitted within any AI platform.

TECHNOLOGY STACK

Claude Enterprise

Primary AI platform with full tenant administration

ChatGPT Enterprise

Secondary AI platform with full tenant administration

Okta

Identity provider supporting SSO enforcement and user lifecycle

SCIM

Automated provisioning and deprovisioning for AI platforms

CyberArk

Privileged access management, including API key vaulting and credential rotation

Splunk

Audit log ingestion, monitoring, and anomaly detection

Microsoft 365

Connector ecosystem including SharePoint, Teams, and Outlook

ServiceNow

Ticketing and change control for platform requests

HARD REQUIREMENTS

All items below require demonstrated hands-on experience. Familiarity or high-level exposure is not sufficient. Candidates will be expected to walk through prior deployments in detail.

Claude Enterprise and ChatGPT Enterprise

Hands-on tenant administration including setup, organizational policy configuration, feature controls, and ongoing production ownership

Okta SSO and SCIM

End-to-end automated provisioning and deprovisioning workflows integrated with enterprise AI platforms

CyberArk

Privileged access and secrets management including API key vaulting, credential rotation, and service account governance for AI integrations

Splunk

Audit log pipeline design, log ingestion, parsing, dashboard creation, and anomaly detection specific to AI platform activity

Enterprise AI platform connector governance

Administration, permission scoping, security review, change control, and operational monitoring of connectors across current and future integrations. The connector ecosystem will evolve and requires ongoing governance capability

Enterprise AI platform security controls

Data classification enforcement, acceptable use controls, access recertification, and audit evidence maintenance at the platform level

PREFERRED QUALIFICATIONS

Experience within a regulated healthcare or insurance environment

Understanding of data sensitivity requirements and governance expectations within a national-scale organization

Enterprise SaaS platform operations

Experience managing a governed SaaS platform under senior security leadership, including change control, executive reporting, and audit support

Acceptable use policy enforcement

Hands-on experience identifying, investigating, and responding to user policy violations within an AI platform

Platform usage analytics and executive reporting

Ability to produce engagement metrics, adoption trends, and security summaries for senior leadership using audit log data

CORE OPERATIONAL RESPONSIBILITIES

Platform administration

Daily tenant management, configuration control, feature governance, and policy enforcement across both AI platforms

User lifecycle management

Provisioning, deprovisioning, access recertification, and role management using Okta and SCIM

Incident response

Primary responder for outages, connector issues, SSO disruptions, and security events

Connector operations

Governance, monitoring, and change control for all enterprise system integrations across both platforms

Security monitoring

Ownership of Splunk pipeline, anomaly detection, policy enforcement, and audit log integrity

Executive reporting

Delivery of monthly usage metrics, adoption insights, and security event summaries for senior leadership

WHAT THIS ROLE IS NOT

This is not an AI engineering, machine learning, or model development role. Candidates focused on building pipelines, fine-tuning models, or designing AI architectures are not aligned with this position, even if they have limited exposure to enterprise AI platforms. The role requires a primary focus on platform operations and security integration.

REPORTING STRUCTURE

This role reports into senior information security and technology leadership and works closely with executive stakeholders across security and IT. It operates as an individual contributor with broad ownership of platform operations and no direct reports. The environment requires comfort with structured governance, formal change control processes, and executive-level reporting.