Principal AI & Data Architect
US CT Shelton, United States
R
USD 100K-150K (estimate) Senior-level Full Time
Tasks
- Build AI ML platform capabilities MLOps and LLMOps
- Conduct architecture reviews for data platforms and AI applications
- Define and enforce data governance ownership stewardship quality MDM and lifecycle
- Define enterprise data models and canonical schemas
- Define standards for reusable AI and data capabilities
- Design data architecture lakehouse and data mesh
- Develop centralized enterprise data platform
- Drive architecture governance with reference architectures patterns and components
- Embed responsible AI practices transparency fairness explainability
- Enable model lifecycle management for ingestion deployment and monitoring
- Establish auditability and controls for AI systems
- Establish metadata strategy and data lineage
- Lead enterprise AI and data strategy
- Mentor architects and engineers
- Own architecture roadmap
- Standardize AI delivery tooling frameworks and infrastructure
Perks/Benefits
Skills/Tech-stack
AWS | Azure | Cloud Native | Cloud Native Architecture | Cloud platform | Data Governance | Data Lineage | Data Management | Data Pipelines | Data integration | Data mesh | Distributed Systems | ELT | ETL | Generative AI | Google Cloud | Google Cloud Platform | LLMOps | Lakehouse | MLOps | Master Data | Master Data Management | Metadata Management | Model Monitoring | Responsible AI | Streaming Data | Streaming data pipelines
Education
N/A
Roles
Regions
Countries
States
Cities
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