Senior AI Data Integration Engineer
Tasks
- Build secure grounding patterns for enterprise content
- Build validation checklists for repositories connectors and content types
- Coordinate DLP aligned data handling controls for AI retrieval
- Create onboarding standards for new content sources
- Design integrations for data minimization and permissions inheritance
- Enable permissions aware retrieval with provenance metadata
- Enforce least privilege data access across approved AI workflows
- Implement approved connectors and retrieval workflows
- Implement connector and retrieval logging for audit trails
- Improve retrieval quality metadata standards and integration reliability
- Mask and unmask SharePoint content using Presidio and Protect
- Support immediate compensating controls for PII and NPI workflows
- Tune retrieval quality and reduce hallucination risk using guardrails
Perks/Benefits
Skills/Tech-stack
API | Audit Logging | DLP | Data Governance | Data Protection | Data masking | Data minimization | Data redaction | Document indexing | Enterprise Search | Hybrid search | Identity Aware Retrieval | Least Privilege | Metadata | Microsoft Graph | NPI | PII | Permissions Management | Presidio | Protect | Provenance | Semantic Search | Sensitivity Labels | SharePoint | Vector Search
Education
N/A
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