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AI Platform Engineer
Curotec. 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 .
Tech Stack
Tools & technologiesAzureCloudPythonServiceNowTerraformTypeScript
About the role
Key responsibilities & impact- 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 including skills, plugins, agents, and connectors to appropriate audiences
- Choose between enterprise-wide and group-scoped distribution with clear understanding of scoping and permission controls
- Conduct security and quality reviews of third-party and externally authored skills, plugins, and connectors before release
- Assess dependencies and bundled scripts, including 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 security, identity, governance, and business teams to keep AI capabilities compliant
Requirements
What you’ll need- 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 Drive, Confluence, Jira, Salesforce, ServiceNow, databases, internal APIs)
- Strong Terraform skills
- Experience building and maintaining CI/CD pipelines (GitHub Actions, Azure DevOps, GitLab CI, Cloud Build, or similar)
- Working knowledge of AI-specific security risks such as prompt injection, data exfiltration, over-permissioned tools, and supply-chain risks
- Experience in large enterprise environments with strict security and compliance requirements
- Clear written communication and strong documentation habits
- Experience across two or more of the three platforms (nice to have)
- Experience with the Model Context Protocol (MCP), including building, deploying, or reviewing MCP servers (nice to have)
- Experience authoring or reviewing Claude Skills/Plugins, Copilot Studio agents and plugins, or Gemini Enterprise agents (nice to have)
- Scripting in Python, TypeScript, PowerShell, or Bash (nice to have)
- Familiarity with dependency scanning and code review tools such as Snyk, Dependabot, and SAST (nice to have)
- Background in regulated industries, especially life sciences or healthcare (nice to have)
Benefits
Comp & perks- Opportunity to learn something new every day about technology and team members
- Work with a diverse, international team
- Opportunity to work on enterprise-level projects for clients worldwide