GE AerospaceHiring

Staff Application Engineer, AI Enablement

  • Remote, United States
  • Senior
  • Posted 2 days ago
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In one line

Staff engineering role focused on data quality and integration across product lifecycle and master data systems, with hands-on proof-of-concept work.

About the role

The team builds reusable, service-oriented platform components and applies enterprise architecture standards. Good work means clean data mapping, tested designs and clear design decisions.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Senior
Skills
Oracle, ALM, PLM, Microservices, SOA, Hadoop, Elasticsearch, Solr
Visa
No sponsorship
Posted
27 Oct 2026
Last checked
29 Oct 2026

What you will do

  • Map data sources, move data between systems and build interfaces that keep product lifecycle data accurate
  • Develop, configure and test assigned components, and write down the design decisions
  • Build and test proof-of-concepts using established design patterns, with hands-on work central to the role

What they look for

  • At least three years in application engineering, plus a bachelor's degree and four years of professional experience or equivalent
  • Working knowledge of ALM and PLM platforms and of Oracle-based systems
  • Familiarity with microservices, service-oriented architecture, Hadoop-style big data systems, search tools such as Elasticsearch or Solr, cl
  • Legal authorization to work in the United States

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Claude

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Connector URL
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Connector URL
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Muse

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Message for Muse
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Muse is available in the US only for now.

Prompt
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Questions about this job

Is this job fully remote, and from where?

Yes, it is listed as remote, aimed at candidates in the United States.

What does this job pay?

No pay range is stated in the posting.

What experience is needed?

It is a senior role. The posting asks for: at least three years in application engineering, plus a bachelor's degree and four years of professional experience or equivalent; working knowledge of ALM and PLM platforms and of Oracle-based systems; familiarity with microservices, service-oriented architecture, Hadoop-style big data systems, search tools such as Elasticsearch or Solr, cl. Skills it names include Oracle, ALM, PLM, Microservices.

How do I apply with Keywordise AI?

Select Apply with Keywordise AI, sign up and upload your CV. Keywordise writes a CV and a cover letter for this job from your real experience and applies for you. The 7-day free trial needs no card.

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