Senior AI Data Engineer — Knowledge Graph & AI Platform

GE Aerospace; Baltimore (MD); On-site; USD 110,000 - 145,000; Full time

Benefits offered by this job

Health benefits

401(k) with company match

Tuition assistance

Paid parental leave

Job summary

GE Aerospace is seeking a Senior Data Engineer to design and build the AWS-native data foundation for enterprise AI applications, including knowledge graphs and semantic layers. You will lead data modeling, graph-based retrieval, and data quality initiatives across structured and unstructured sources.

You will mentor engineers, define standards for ontologies and retrieval, and collaborate with product and security teams.

Qualifications

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Responsibilities

• Lead the design and evolution of knowledge graphs and ontologies powering AI reasoning, retrieval, and explainability.
• Align enterprise data 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 and grounding accuracy; drive regressions down over time.
• Shape data contracts for AI engineers, including feedback loops from user signals.
• Produce data models for operational and analytical workloads; establish standards and reuse patterns.
• Build ingestion and transformation pipelines in Python and SQL using AWS services (Glue, Lambda, Step Functions, S3, Athena, OpenSearch, Neptune).
• Author infrastructure as code (CloudFormation/CDK) and apply AWS best practices for IAM, security, cost, observability.
• Profile sources, identify data quality gaps, and design automated validation and lineage.
• Partner with security and platform teams to integrate data access with identity policies.
• Define data contracts and metadata for policy engines; contribute to data dictionary and catalog.
• Set design direction for data and semantic modeling; mentor engineers and citizen developers.
• Communicate tradeoffs and value to product, business, and executives.

Skills

Data modeling

Knowledge graphs

Python

SQL

AWS services

Graph queries

Communication

Leadership

ML/AI data pipelines

Education

Bachelor's degree in Computer Science or STEM

Tools

Neo4j

Neptune

TigerGraph

Cypher

Gremlin

SPARQL

CloudFormation/CDK

OpenSearch

Bedrock Knowledge Bases

Job description

GE Aerospace is seeking a Senior Data Engineer to design and build the AWS-native data foundation for enterprise AI applications, including knowledge graphs and semantic layers. You will lead data modeling, graph-based retrieval, and data quality initiatives across structured and unstructured sources.

You will mentor engineers, define standards for ontologies and retrieval, and collaborate with product and security teams.