Senior AI Data Engineer
Job Summary
Leading the design and engineering of AWS-native data foundations for enterprise AI applications, the full-time Senior AI Data Engineer will focus on developing knowledge graphs, ensuring data quality, and building data pipelines while working remotely.
Key responsibilities:
- Design and evolve knowledge graphs and ontologies to enhance AI reasoning and retrieval capabilities
- Curate data quality metrics and establish data contracts with AI engineers to improve grounding accuracy
- Build and maintain data ingestion and transformation pipelines using AWS services and implement data governance practices
Required qualifications:
- Bachelor's degree in Computer Science, Engineering, or a STEM field
- A minimum of three years of data engineering experience
- Strong proficiency in AWS services including Glue, Lambda, and S3
- Experience with Python and SQL for data modeling and pipeline development
- Production experience with knowledge graphs and graph query languages
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