AI Systems Engineer
Tasks
- Administer enterprise AI platforms
- Build AI agents and automations
- Configure authentication with OAuth and SSO
- Deploy and support MCP servers
- Develop AI governance frameworks
- Evaluate emerging AI technologies
- Implement API integrations
- Maintain and support AI platforms
- Maintain technical documentation
- Manage AI agent lifecycle
- Monitor AI platform performance
- Plan AI capacity and usage analytics
- Secure AI services with enterprise controls
- Support AI adoption training
- Troubleshoot AI integrations
Perks/Benefits
- Continuous personal development
- Corporate pension fund
- Intellectually stimulating work environment
- International training opportunities
- Private health insurance
Skills/Tech-stack
AI Governance | AI Search | AI Services | API Integration | Agent Builder | Anthropic Claude | Authentication | Azure AI | Azure AI Search | Azure AI Services | Azure OpenAI | Azure OpenAI Service | Compliance | Conditional Access | Copilot Studio | DLP | Data Loss Prevention | Data loss | Entra ID | Gemini | Intune | Jira | Loss prevention | Microsoft 365 | Microsoft 365 Copilot | Microsoft Graph | Model Context Protocol | OAuth | OpenAI | OpenAI Service | Power Automate | Power Platform | Powershell | Python | REST APIs | Responsible AI | Sensitivity Labels | ServiceNow | SharePoint | Single Sign-On
Education
Roles
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