Sr AI Data Engineer
Tasks
- Align enterprise data into queryable graphs
- Author infrastructure as code with CloudFormation
- Build hybrid retrieval with vector indexes
- Build ingestion and transformation pipelines on AWS
- Create data models and modeling standards
- Curate grounding corpora and eval datasets
- Define data contracts and attributes for access control
- Design data validation monitoring lineage and metadata
- Design knowledge graphs and ontologies
- Implement IAM security cost and observability
- Instrument retrieval quality and grounding accuracy metrics
- Integrate data access with enterprise identity policies
- Maintain data catalog glossary and dictionary
- Mentor engineers on semantic and retrieval engineering
Perks/Benefits
- Disability insurance
- Life insurance
- Paid parental leave
- Paid time off
- Retirement Plan (401k) Matching
- Tuition assistance
Skills/Tech-stack
AWS CDK | AWS CloudFormation | AWS Glue | AWS Lambda | AWS Step Functions | Amazon Athena | Amazon Bedrock | Amazon Neptune | Amazon OpenSearch | Amazon S3 | Bedrock Knowledge Bases | Cypher | Data Catalog | Data Contracts | Data Governance | Data Lineage | Data Modeling | Data Validation | Gremlin | Hybrid retrieval | IAM | Infrastructure as Code | Knowledge bases | Knowledge graph | Neo4j | Ontologies | Python | RAG | RDF | SPARQL | SQL | Step Functions | Vector embeddings | “as-code”
Education
Roles
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