Sr AI Data Engineer
Core
Design and build AWS-native data foundations (knowledge graphs, semantic layers, retrieval corpora) for enterprise AI applications.
Role type
Senior IC data engineer (AI/ML data infrastructure)
Builds
Knowledge graphs, semantic layers, retrieval pipelines, and data models for AI reasoning and grounding.
Domain
Enterprise AI, Knowledge Graphs, AWS Cloud
Deliverable
production ML models | infrastructure
Required skills
AWS services (Glue, Lambda, Step Functions, S3, Athena, OpenSearch, Neptune, Bedrock), Python, SQL, Knowledge Graphs (Neo4j, Neptune, RDF/SPARQL), Data Modeling, Data Quality, Infrastructure as Code (CloudFormation/CDK)
Preferred skills
Graph query languages (Cypher, Gremlin, SPARQL), RAG pipelines, Embeddings, Enterprise Identity Integration
Technologies
AWS Glue, AWS Lambda, AWS Step Functions, AWS S3, AWS Athena, AWS OpenSearch, AWS Neptune, AWS Bedrock, Neo4j, RDF, SPARQL, Cypher, Gremlin, CloudFormation, CDK
Responsibilities
Lead design of knowledge graphs and ontologies for AI reasoning; Build ingestion and transformation pipelines on AWS; Curate grounding corpora and eval datasets for LLMs; Define data contracts and metadata for policy engines; Mentor engineers on modeling and retrieval engineering.
Seniority
Senior, hands-on IC