Senior AI Data Engineer - Remote, Graph & Retrieval

GE Aerospace; Longmont (CO); On-site; USD 110,000 - 145,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401(k) with match

Paid time off

Tuition assistance

Job summary

GE Aerospace is seeking a Senior Data Engineer to design and build the AWS-native data foundation behind enterprise AI apps, including knowledge graphs, semantic layers, and retrieval corpora. You will lead data modeling, pipelines, and governance, aligning diverse data sources into a coherent, provenance-rich graph and owning the retrieval substrate for improved grounding quality.

You will mentor engineers and citizen developers, define data contracts for AI data, and collaborate with security

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a STEM field.
• Minimum of three years of data engineering experience.

Responsibilities

• Design and evolve knowledge graphs and ontologies powering AI reasoning, retrieval, and explainability.
• Align data sources into a coherent, queryable graph with provenance across sources.
• Own the retrieval substrate and drive improvements in grounding quality.
• Curate grounding corpora, eval datasets, and retrieval benchmarks for LLM features.
• Instrument metrics for retrieval quality, grounding accuracy, and freshness.
• Shape training data contracts with AI engineers and incorporate user signals.

Skills

Knowledge graphs

Python

SQL

AWS

Data modeling

Data pipelines

Graph databases

Leadership

Education

Bachelor’s degree in Computer Science/Engineering/STEM

Tools

Neo4j

Neptune

TigerGraph

RDF/SPARQL

Cypher

Gremlin

SPARQL

CloudFormation/CDK

Glue

Lambda

Step Functions

S3

IAM

Bedrock/Bedrock Knowledge Bases

OpenSearch

Neptune

Job description

GE Aerospace is seeking a Senior Data Engineer to design and build the AWS-native data foundation behind enterprise AI apps, including knowledge graphs, semantic layers, and retrieval corpora. You will lead data modeling, pipelines, and governance, aligning diverse data sources into a coherent, provenance-rich graph and owning the retrieval substrate for improved grounding quality.

You will mentor engineers and citizen developers, define data contracts for AI data, and collaborate with security