Senior AI Data Engineer

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GE Aerospace

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10 000+ employés

🏭 Fabrication

🎖️ Défense

💼 Conseil

Manufacturing • Defense • Consulting

GE Aerospace est un fournisseur de premier plan mondial de moteurs à réaction et turbopropulseurs, ainsi que de systèmes intégrés pour les avions commerciaux, militaires, d'affaires et d'aviation générale. L'entreprise s'engage à faire progresser l'aviation durable grâce au développement de moteurs d'avions efficaces compatibles avec les carburants alternatifs et collabore avec l'ensemble de l'industrie pour promouvoir l'innovation et la sécurité des vols.

Description

• Design and build the AWS-native data foundation behind enterprise AI applications • Lead the design and evolution of knowledge graphs and ontologies powering AI's reasoning and retrieval • Align enterprise data into a coherent, queryable graph with clear provenance • Own the retrieval substrate — graph queries, vector indexes, and hybrid retrieval • Curate grounding corpora, eval datasets, and retrieval benchmarks for LLM-based features • Produce conceptual, logical, and physical 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 • Partner with security and platform teams to integrate data access with enterprise identity and access policies

🎯 Exigences

• 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 • 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 skills

🏖️ Avantages

• Healthcare benefits include medical, dental, vision, and prescription drug coverage • Access to a Health Coach from GE Aerospace • Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services • GE Aerospace Retirement Savings Plan, a 401(k) savings plan with company matching contributions and 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