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GE Aerospace

Builds jet engines for airlines and armed forces

AI & Automation Lead - Product Development

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeEvendale, OH, USANo salary listed

About the Job

Requirements

  • A bachelor's degree in engineering, computer science, or a similar field from an accredited university or college is required.
  • At least 3 years of experience in engineering, manufacturing, digital technologies, or another technical field is required.
  • The individual must be able to obtain and maintain a U.S. Government security clearance; U.S. citizenship is a prerequisite for clearance.
  • Experience with digital transformation and/or AI-native process redefinition is required, preferably focused on product development or manufacturing.
  • Working knowledge of AI and machine learning, generative AI tools and frameworks such as large language models, agents, PyTorch, and scikit-learn, as well as data integration concepts, SQL/NoSQL databases, APIs, and web services is desired.
  • Proficiency in scripting and programming with Python, Java, C++, and SQL, and familiarity with Git, continuous integration/continuous delivery, automated testing, containerization with Docker/Kubernetes, and AWS or other cloud environments is desired.
  • A background with engineering tools, their data structures, and APIs, including Teamcenter, NX, Cameo, and Ansys, is desired.
  • Understanding of digital engineering processes, particularly CAD workflows and engineering analysis, and experience leading digital transformation in engineering or manufacturing are desired.
  • The ability to map business processes, capture requirements, and scope technical solutions is desired.
  • The ability to communicate with technical and non-technical audiences and influence stakeholders is desired.
  • The ability to work independently, think analytically, and persist through complex technical problems is desired.

Responsibilities

  • Partner with engineering and product development teams to map current-state workflows, identify bottlenecks, and define AI-native future-state processes.
  • Lead and support process redefinition efforts that rethink how engineering work is done instead of simply automating existing steps.
  • Identify, prioritize, and build business cases for automation and AI opportunities based on measurable impact, including productivity, cycle time, and quality.
  • Define multigenerational capability roadmaps that balance near-term wins with a long-term digital engineering vision.
  • Embed with engineering teams to co-develop and validate solutions, ensuring tools fit how engineers work.
  • Work with enterprise and Edison Works teams to establish the support infrastructure needed to enable and sustain new capabilities.
  • Drive change management and adoption through training, documentation, and ongoing support for engineering users.
  • Balance delivery speed, quality, and tool sustainability to support business outcomes at business pace.
  • Integrate AI and automation capabilities into engineering toolchains, including Teamcenter, NX, Cameo, and Ansys, and into the broader digital thread.
  • Evaluate and apply AI technologies, including generative AI, agents, and machine learning models, to engineering use cases, and guide build-versus-buy-versus-leverage decisions.
  • Guide the design, development, and deployment of automation and AI tools using Agile, software development lifecycle, and continuous integration/continuous delivery practices, contributing hands-on development where needed.
  • Work with Information Assurance and Digital Technology teams to deploy and sustain tools in classified environments.
  • Establish metrics to track solution performance and business impact, and drive continuous improvement.

About the Company

GE Aerospace

Builds jet engines for airlines and armed forces

GE Aerospace designs, builds and services jet engines and aircraft systems for airlines, plane makers and armed forces around the world. Through CFM International, a 50-50 venture with France's Safran, it makes the LEAP engine, the only engine on Boeing's 737 MAX and one of two offered on Airbus's A320neo family. Its other units make avionics and electrical power systems for civil and military aircraft. Most of its revenue comes from repairs, spare parts and long-term service deals that airlines buy over the decades each engine stays in use, with the work done in its own and partner shops. GE Aerospace traces to General Electric, founded in 1892, and is based in Evendale, Ohio.

Company size
10,001+
Company stage
Grant
Total funding
$1B
Headquarters
Evendale, OH
Founded
1892

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