Sr Data Architect - AI Controls, Governance & Capabilities
Charlotte, United States
USD 140K-200K (estimate) Senior-level Full Time
Tasks
- Architect model lifecycle governance
- Assess AI control capability maturity
- Develop AI ML control architectural framework
- Educate data management teams on data architecture principles and processes
- Embed Responsible AI principles into architectures
- Ensure adherence to enterprise data management policy
- Establish standardized AI control patterns
- Evaluate vendor AI platforms for security and privacy
- Execute data architecture solutions for complex initiatives
- Facilitate architecture design reviews
- Implement continuous monitoring for compliance drift bias and performance
- Lead control readiness evaluations for AI solutions
- Provide recommendations risk mitigation strategies and architectural guidance
- Serve as enterprise expert for AI controls and governance
Perks/Benefits
Skills/Tech-stack
AI Governance | AI controls | Access Management | Apache Spark | Auditability | Azure Data | Azure Data Lake | Azure Synapse | Bias detection | Cloud Architecture | Data Architecture | Data Governance | Data Lake | Data Lineage | Databricks | Drift monitoring | Embeddings | Enterprise Data | Enterprise Data Governance | Explainability | Hallucination mitigation | Identity and Access Management | Identity and access | Interpretability | LLM orchestration | LLMOps | Logging | MLOps | Machine Learning | Metadata Management | Model Risk Management | Model risk | Privacy controls | Prompt governance | Python | RAG | Red Teaming | Responsible AI | Risk Management | SQL | Secure Cloud | Secure Cloud Architecture | Snowflake | Vector Databases
Education
N/A
Roles
Regions
Countries
States
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