Senior AI Data Architect & Graphs Lead

General Electric; New Orleans (LA); On-site; USD 110,000 - 145,000; Full time

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, semantic layers, and retrieval pipelines. You will lead design strategy and hands-on implementation, shaping data access, curation, and extensibility for AI features.

Required: 3+ years in data engineering, strong AWS, Python, SQL, and experience with knowledge graphs and graph databases. This role requires in-person work in the U.S.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a STEM field.
• A minimum of three years of data engineering experience.
• Legal authorization to work in the U.S. is required; we will not sponsor visas.

Responsibilities

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

Skills

Data modeling

AWS

Python

SQL

Knowledge graphs

ETL pipelines

Education

Bachelor's degree in CS/Engineering

Tools

Neo4j

Neptune

TigerGraph

OpenSearch

Bedrock

CloudFormation/CDK

CDK

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, semantic layers, and retrieval pipelines. You will lead design strategy and hands-on implementation, shaping data access, curation, and extensibility for AI features.

Required: 3+ years in data engineering, strong AWS, Python, SQL, and experience with knowledge graphs and graph databases. This role requires in-person work in the U.S.