Principal Engineer - Enterprise Content and AI Data Platform
Tasks
- Align stakeholders on ownership and priorities
- Create documentation and runbooks
- Create reporting for leadership
- Define classification models
- Define production readiness gates
- Design data masking
- Design remediation workflows
- Drive production rollout for enterprise data access
- Enforce access control for agent consumption
- Ensure content freshness and accuracy
- Evaluate third party DLP and search tools
- Evaluate third party partners for platform extensions
- Implement audit logging
- Implement enterprise data connectors
- Implement export control enforcement
- Integrate enterprise content sources into AI knowledge platform
- Maintain integration quality ownership
- Mentor engineers
- Own sensitive information detection roadmap
- Perform build vs buy evaluations
- Serve as technical lead across workstreams
- Set up RBAC controls
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Access Control | Audit Logging | Audit Trail | Backend Development | Compliance | Data Connectors | Data Governance | Data Pipelines | Data Processing | Data masking | Databricks | Distributed Systems | Export control | High Performance | High-Performance Computing | Indexing pipelines | Information security | LLM Data Pipelines | Performance Computing | RAG | RBAC | Reliability Engineering | Vector Databases
Roles
Architect | Engineer | Principal | Principal Engineer | Software Architect
Regions
Countries
States
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