Roles and Responsibilities:
Knowledge Graph and Semantic Layer (primary focus)
- Lead the design and evolution of the knowledge graphs and ontologies powering our AI's reasoning, retrieval, and explainability.
- Align enterprise data (engineering handbooks, parts, service manuals, DMAIC records, user files) into a coherent, queryable graph with clear provenance across structured, semi-structured, and unstructured sources.
- Own the retrieval substrate — graph queries, vector indexes, and hybrid retrieval — and drive measurable improvements in grounding quality.
AI/ML Data 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, including feedback loops from user signals.
Data Modeling and Pipelines on AWS
- Produce conceptual, logical, and physical data models for operational and analytical workloads; establish modeling standards, naming conventions, and reuse patterns.
- Build ingestion and transformation pipelines in Python and SQL using AWS services — Glue, Lambda, Step Functions, S3, Athena, OpenSearch, Neptune — and AI services such as Bedrock and Bedrock Knowledge Bases.
- Author infrastructure as code in CloudFormation (CDK welcome) 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.
Data Governance and Identity Integration
- Partner with security and platform teams to integrate data access with enterprise identity and access policies, as we look to modernize for AI.
- Define data contracts, attributes, and metadata that policy engines can reason over for attribute- and context-based access control.
- Contribute to the technical data dictionary, business glossary, and data catalog.
Technical Leadership
- Set the design direction for data and semantic modeling across the team.
- Mentor engineers and citizen developers on modeling, ontology design, and retrieval engineering.
- Communicate tradeoffs and value clearly to product, business, and executive stakeholders
Required Qualifications:
- 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.
Eligibility Requirement:
- Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job.
Desired Qualifications:
- 5+ years of hands-on data engineering with a track record of designing — not just implementing — 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.
Leadership Skills:
- Ability to work effectively with multi-disciplinary teams (e.g., Digital Technology, GE Business teams) and understand the inter-dependencies between them.
- Ability to showcase teamwork skills to achieve common goals, provide resolutions and share ideas.
- Demonstrate the presentation and influencing skills
The base pay range for this position is $95,00-159,000. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set. This position is also eligible for an annual discretionary bonus based on a percentage of your base salary/ commission based on the plan. This posting is expected to close on May 26th, 2026.
GE Aerospace offers comprehensive benefits and programs to support your health and, along with programs like HealthAhead, your physical, emotional, financial and social wellbeing. Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach from GE Aerospace; and the 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, as well as access to Fidelity resources and planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness.
GE Aerospace (General Electric Company or the Company) and its affiliates each sponsor certain employee benefit plans or programs (i.e., is a “Sponsor”). Each Sponsor reserves the right to terminate, amend, suspend, replace or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor’s welfare benefit plan or program. This document does not create a contract of employment with any individual.
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This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)).
Additional InformationGE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Relocation Assistance Provided: No
Skills Required
- Bachelor's degree in Computer Science, Engineering, or a STEM field with 3+ years of data engineering experience
- Production experience with knowledge graphs and ontologies
- Strong AWS proficiency
- Strong Python and SQL skills
- Experience integrating data access with enterprise identity and policy systems
GE Aerospace Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GE Aerospace and has not been reviewed or approved by GE Aerospace.
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Healthcare Strength — Health coverage spans medical, dental, vision, prescription drugs, behavioral health support, and some on‑site healthcare options. Wellbeing programs emphasize physical, emotional, and social support and are often characterized as part of a top‑notch package.
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Retirement Support — Retirement programs include a 401(k) with company contributions, long‑term financial planning tools, and vesting provisions. Legacy pension benefits remain for eligible employees despite the plan being frozen.
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Leave & Time Off Breadth — Time‑off offerings include paid vacation, holidays, sick time, personal days, and flexible work arrangements, with permissive PTO noted for some salaried roles. Family support includes generous parental leave and adoption assistance.
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