IT Director, Data & AI Architecture
United States - Waukegan : J46, United States
USD 149K-298K Executive-level Full Time
Tasks
- Architect AI ready data ecosystems
- Define LLMOps and MLOps standards
- Define data product standards and lifecycle management
- Define feature store standards and model operationalization
- Define integration standards using APIs and event driven architecture
- Define reference architectures for data platforms
- Design Lakehouse architectures
- Design RAG and semantic search reference architectures
- Drive Infrastructure as Code and automated deployment practices
- Establish data ingestion transformation and orchestration standards
- Implement Data Mesh and federated data ownership
- Lead architecture reviews for data and analytics initiatives
- Partner on data governance and trust by design controls
- Provide technical oversight for strategic initiatives
Perks/Benefits
- N/A
Skills/Tech-stack
API | Apache Airflow | Apache Iceberg | Azure Data | Azure Data Services | CI/CD | Data Lineage | Data Management | Data Observability | Data Processing | Data Products | Data Quality | Data Services | Data mesh | DataOps | Databricks | Delta Lake | Domain-Driven Design | Embeddings | Event Driven | Event-driven architecture | Feature Store | Infrastructure as Code | Kafka | Knowledge Management | Knowledge graphs | Kubernetes | LLMOps | MLOps | Master Data | Master Data Management | Metadata Management | Microsoft Fabric | Model Governance | Real Time | Real-time Data | Real-time Data Processing | Retrieval-Augmented Generation | Semantic Retrieval | Semantic Search | Snowflake | Streaming Data | Vector Databases | “as-code”
Education
Roles
AI | AI Architect | Architect | Data Architect | Enterprise Data Architect
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