Enterprise Data & AI Engineering Lead
Q - Z, Richmond (City), Virginia
USD 76K-96K (estimate) Senior-level Full Time
Tasks
- Collaborate on data and AI platform architecture decisions
- Deliver data integration and scalable data solutions
- Design and deliver cloud based data and AI products
- Develop retrieval-augmented generation pipelines
- Drive prototypes and proofs of concept for emerging technologies
- Implement data governance and responsible AI practices
- Lead DataOps and MLOps practices
- Lead enterprise data and AI engineering initiatives
- Mentor staff across data and AI engineering disciplines
- Operationalize AI capabilities and workflows
- Optimize reliability of data platforms and data products
- Provide technical leadership for data engineering and AI automation
- Support contract management for data and AI vendors
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agentic Automation | Artificial Intelligence | Azure | Cloud Architecture | Data Architecture | Data Governance | Data Modeling | Data Transformation | Data integration | DataOps | DynamoDB | ELT | ETL | Fault-tolerant | Fault-tolerant systems | MLOps | Machine Learning | Python | RAG | Retrieval-Augmented Generation | SQL Server | Snowflake
Education
N/A
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