Enterprise AI Platform Engineer – Governance & Ops

University of Chicago

City of Middletown (NY)

Hybrid

USD 120,000 - 135,000

Full time

14 days+
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Hybrid work arrangement
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Job summary

The University of Chicago seeks an AI Platform Engineer to operationalize its enterprise AI services, starting with Claude Enterprise. This hands-on role coordinates across CISO, Privacy, General Counsel, and academic units to ensure secure, governed AI platforms with scalable adoption.

Responsibilities include platform oversight, governance alignment, and operational integration, plus collaboration with risk teams and internal stakeholders to deliver value from AI tools campus-wide.

Qualifications

  • Minimum: college/university degree in related field.
  • 2–5 years of work experience in a related discipline.
  • Experience drafting policy documents, guidance materials, or governance frameworks.

Responsibilities

  • Administers Claude Enterprise: SCIM provisioning lifecycle, connector management, feature flag decisions, admin console configuration, and SSO/IdP maintenance.
  • Integrates and operates the Compliance API and audit log exports, including connection to the institutional SIEM.
  • Monitors platform health, reviews new features for governance implications before campus enablement, and serves as Tier 2/3 escalation.
  • Supports governance and campus enablement through quarterly reviews, feature requests, and incident escalation with Anthropic TAM.
  • Produces monthly adoption reporting and maintains leadership dashboards.
  • Coordinates with CISO/Privacy Officer on compliance questions and regulatory guidance.

Skills

SSO/IdP
SCIM provisioning
API integrations
Platform operations
Governance & compliance

Education

Bachelor's degree in IT / CS

Tools

Claude Enterprise
Shibboleth / Entra ID / Okta

Job description

The University of Chicago seeks an AI Platform Engineer to operationalize its enterprise AI services, starting with Claude Enterprise. This hands-on role coordinates across CISO, Privacy, General Counsel, and academic units to ensure secure, governed AI platforms with scalable adoption.

Responsibilities include platform oversight, governance alignment, and operational integration, plus collaboration with risk teams and internal stakeholders to deliver value from AI tools campus-wide.

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