AI Data Innovation Engineer, Data Innovation and Tools Rationalization
Tasks
- Collaborate with data engineers architects and product teams on enterprise data strategy alignment
- Develop reference implementations and adoption guidance
- Document outcomes usage patterns limitations and operational considerations
- Evaluate emerging AI tools and frameworks using proofs of concept
- Integrate AI patterns into enterprise AI experiences
- Operationalize reusable AI enablement patterns
- Partner with data governance risk and control teams on responsible AI
- Prototype AI capabilities using governed data products
- Reduce friction in AI adoption with scalable data centric solutions
- Validate AI workflows and patterns
Perks/Benefits
- 401k match
- Adoption Assistance
- Healthcare (Medical Dental Vision)
- Hybrid/flexible schedule
- Paid Holidays
- Paid vacation
- Parental leave
Skills/Tech-stack
AWS | Agentic patterns | Apache Spark | Azure | CI/CD | Cloud APIs | Cortex AI | Data Governance | Data Quality | Databricks | ETL | GCP | Hadoop | Hive | Lifecycle Management | Model Lifecycle | Model Lifecycle Management | Observability | Power Apps | Power Automate | Power BI | Prompt orchestration) | Python | Responsible AI | Retrieval-Augmented Generation | SQL | Security | Semantic enrichment | Snowflake | Snowpark | Tableau
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Data Innovation Engineer | Analytics | Analytics Engineer | Data Engineer | Engineer | Innovation Engineer
Regions
Countries
States
Cities
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