Senior AI Data Engineer

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GE Aerospace

WebsiteLinkedInAll Job Openings

10,000+ employees

🚀 Aerospace

⚡ Energy

Aerospace • Energy • Engineering

GE Aerospace is a world-leading provider of jet and turboprop engines, as well as integrated systems for commercial, military, business, and general aviation aircraft. The company is dedicated to advancing sustainable aviation through the development of efficient aircraft engines compatible with alternative fuels and collaborates across the industry to promote innovation and safety in flight.

📋 Description

• Lead the design and evolution of knowledge graphs and ontologies powering AI's reasoning, retrieval, and explainability • Align enterprise data into a coherent, queryable graph with clear provenance across structured, semi-structured, and unstructured sources • Own the retrieval substrate and drive measurable improvements in grounding quality • Curate grounding corpora, eval datasets, and retrieval benchmarks for LLM-based features • Instrument metrics for retrieval quality, grounding accuracy, and freshness; drive regressions down over time • Shape training and inference data contracts with AI engineers • Produce data models for operational and analytical workloads • Build ingestion and transformation pipelines in Python and SQL using AWS services • Author infrastructure as code in CloudFormation and apply AWS best practices for IAM, security, cost, and observability • Profile sources, identify data quality gaps, and design automated validation, monitoring, metadata, and lineage • Partner with security and platform teams to integrate data access with enterprise identity and access policies • Define data contracts, attributes, and metadata that policy engines can reason over for access control • Contribute to the technical data dictionary, business glossary, and data catalog • Mentor engineers and citizen developers on modeling, ontology design, and retrieval engineering

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or a STEM field with 3+ years of data engineering experience; OR high school diploma / GED with 7+ years of equivalent experience • Legal authorization to work in the U.S. is required • 5+ years of hands-on data engineering with a track record of designing data models and semantic layers • Production experience with knowledge graphs and ontologies (Neo4j, Neptune, TigerGraph, RDF/SPARQL, or similar) and graph query languages (Cypher, Gremlin, SPARQL) • Strong AWS proficiency required: CloudFormation (or CDK), Glue, Lambda, Step Functions, S3, IAM, Bedrock, Bedrock Knowledge Bases; OpenSearch and Neptune a plus • Strong Python and SQL; comfort across relational, graph, vector, and document stores • Experience supporting AI/ML or LLM systems — RAG pipelines, embeddings, eval datasets, grounding corpora • Experience integrating data access with enterprise identity and policy systems • Strong cross-functional collaboration and communication, including technical presentations to non-data audiences

🏖️ Benefits

• Healthcare benefits include medical, dental, vision, and prescription drug coverage • Access to a Health Coach from GE Aerospace • Employee Assistance Program, which provides 24/7 confidential assessment, counseling and referral services • Retirement benefits include the GE Aerospace Retirement Savings Plan, a 401(k) savings plan with company matching contributions and company retirement contributions • Access to Fidelity resources and planning consultants • Tuition assistance • Adoption assistance • Paid parental leave • Disability insurance • Life insurance • Paid time-off for vacation or illness