AI Platform Engineer

Responsibilities

• Own data connector and skill requests end-to-end, from intake through access group creation, identity provider synchronization, connector registration, per-tool permission scoping, testing, documentation, and closure with the requester.
• Configure and distribute platform capabilities (skills, plugins, agents, connectors) to the right audiences, choosing between enterprise-wide and group-scoped distribution, with a clear understanding of scoping and permission controls.
• Conduct security and quality reviews of third-party and externally authored skills, plugins, and connectors before release. This includes assessing dependencies and bundled scripts, and evaluating exposure to prompt injection and data exfiltration.
• Replace manual console configuration with automated setup, registration, and provisioning through CI/CD pipelines and Terraform.
• Build parameterized deployments across development, staging, and production environments.
• Partner with the client's security, identity, governance, and business teams to keep AI capabilities compliant.
• 6+ years of experience in platform engineering, cloud engineering, DevOps, or enterprise systems administration.
• Hands-on experience administering and configuring at least one of: Claude Enterprise, Microsoft 365 Copilot / Copilot Studio, or Gemini Enterprise.
• Solid understanding of identity and access management: access groups, identity provider synchronization (Entra ID, Okta, Google Cloud Identity), SSO, and SCIM provisioning.
• Experience configuring connectors between SaaS platforms and enterprise data sources (SharePoint, Google

Languages