Sr AI Data Engineer
Remote, United States
R
USD 131K-180K (estimate) Senior-level Full Time
Tasks
- Align enterprise data into queryable graphs
- Apply AWS IAM security and cost best practices
- Author infrastructure as code with CloudFormation
- Build ingestion and transformation pipelines on AWS
- Communicate tradeoffs to stakeholders
- Curate grounding corpora and eval datasets
- Define data contracts for attribute and context based access control
- Drive data regressions down over time
- Instrument retrieval quality and grounding accuracy metrics
- Integrate data access with enterprise identity and access policies
- Lead knowledge graph design and evolution
- Maintain data dictionary business glossary and data catalog
- Mentor engineers on ontology and retrieval engineering
- Own retrieval substrate with graph queries and vector indexes
- Profile sources and design automated validation monitoring lineage
- Set data and semantic modeling design direction
Perks/Benefits
- 401k match
- Disability insurance
- Employee assistance program
- Life insurance
- Paid parental leave
- Paid time off
- Tuition assistance
Skills/Tech-stack
AWS CDK | AWS Glue | AWS Lambda | AWS Step Functions | Amazon Athena | Amazon Bedrock | Amazon Neptune | Amazon S3 | Bedrock Knowledge Bases | CloudFormation | Cypher | Data Contracts | Data Governance | Data Lineage | Data Modeling | Data Quality | Data Validation | Embeddings | Gremlin | Hybrid retrieval | IAM | Infrastructure as Code | Knowledge bases | Knowledge graphs | LLM Evaluation | Metadata Management | Ontologies | OpenSearch | Python | RAG | RDF | SPARQL | SQL | Step Functions | Vector indexing | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Data Engineer | Data Engineer | Engineer | Senior Data Engineer
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