Principal Engineer - Enterprise Content and AI Data Platform
Tasks
- Define production readiness gates for integration correctness and quality
- Design and implement export control enforcement and audit logging
- Drive production rollout for enterprise data access platform
- Ensure content accuracy freshness and access control for agent consumption
- Evaluate third party partners for platform extensions
- Implement authorization checks data masking retention and RBAC controls
- Integrate enterprise content sources into AI knowledge platform
- Lead build vs buy decisions and vendor evaluations
- Mentor engineers and maintain documentation and runbooks
- Own roadmap for sensitive information detection and remediation
- Serve as technical lead across platform workstreams
Perks/Benefits
- N/A
Skills/Tech-stack
AI Data | AI data pipelines | API Integration | Access Control | Audit Logging | Authorization checks | Classification Models | Cloud Storage | Compliance | Data Connectors | Data Governance | Data Pipelines | Data Processing | Data masking | Databricks | Distributed Systems | Document Management | Document Management Systems | Email Integration | Enterprise Security | Export control | High Performance | High-Performance Computing | Incident Response | Incident Response Planning | Indexing pipelines | Machine Learning | Management systems | Messaging Integration | Performance Computing | RAG | RBAC | Remediation workflows | Response planning | Schema Design | Search Indexing | Secure APIs | Vector Stores
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
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