AI Data Innovation Engineer, Data Innovation and Tools Rationalization
Tasks
- Develop semantic models and feature representations
- Document usage patterns limitations and operational considerations
- Ensure responsible AI alignment with guardrails and documentation
- Evaluate emerging AI tools and frameworks with proofs of concept
- Implement retrieval-augmented generation workflows
- Integrate AI patterns into enterprise AI experiences
- Operationalize reference implementations and reusable patterns
- Partner with data engineers to structure and optimize data for AI
- Prototype AI capabilities using governed data products
- Validate reusable AI enablement patterns
Perks/Benefits
- N/A
Skills/Tech-stack
Agent-based | Agent-based patterns | CI/CD | Cloud APIs | Cortex AI | Data Quality | Databricks | Governance | Model Integration | Observability | Prompt orchestration) | Python | Retrieval-Augmented Generation | SQL | Security | Semantic models | Snowflake | Snowpark
Regions
Countries
States
Cities
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