AI & Automation Lead, Product Development

GE Aerospace

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Evendale, OH
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $207k
$146k $269k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $177,737–$237,000.

Based on 240 similar postings.

Employer

About GE Aerospace

GE Aerospace (General Electric Aerospace) designs and produces commercial and military jet engines, components, and integrated systems for aircraft manufacturers and airlines worldwide. Industry: Aerospace & Aviation Engines

GE Aerospace currently has 63 open roles on FindRole.

Listed pay typically runs $130,000–$173,000 across 33 roles with salary data.

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At a glance

TL;DR · AI & Automation Lead, Product Development

The AI & Automation Lead - Product Development joins the engineering and product development teams to build next-generation automation and AI solutions. This role involves mapping current-state workflows, identifying bottlenecks, and defining AI-native future-state processes to transform how engineering work is performed. The Lead will build business cases for automation, develop multigenerational capability roadmaps, and integrate AI capabilities into engineering toolchains. Key responsibilities include guiding the design and deployment of tools using Agile, SDLC, and CI/CD practices. Required technical skills include Python, Java, C++, SQL, and experience with Git, Docker, and Kubernetes. The role requires integrating generative AI, ML models, and agents into platforms like Teamcenter, NX, Cameo, and Ansys to solve complex digital engineering and manufacturing problems within classified environments.

What you'll do

  • Map current-state engineering workflows to identify bottlenecks and define AI-native future-state processes.
  • Build business cases for automation and AI opportunities based on measurable productivity and quality impacts.
  • Integrate AI and automation capabilities into engineering toolchains like Teamcenter, NX, and Cameo.
  • Evaluate and apply generative AI, agents, and ML models to specific engineering use cases.
  • Guide the design, development, and deployment of automation tools using Agile, SDLC, and CI/CD practices.
  • Co-develop and validate solutions with engineering teams to ensure tools fit actual user workflows.
  • Drive change management through training, documentation, and ongoing support for engineering users.
  • Establish metrics to track solution performance and drive continuous improvement of digital engineering tools.

What we're looking for

  • Bachelor's degree in engineering, computer science, or a similar field from an accredited university or college.
  • Minimum of 3 years of experience in engineering, manufacturing, digital technologies, or another technical field.
  • U.S. citizenship is required to obtain and maintain a U.S. Government Security Clearance.
  • Must be a U.S. Person (citizen, lawful permanent resident, asylee, or refugee) to access export-controlled information.
  • Experience with digital transformation and/or AI-native process redefinition, preferably in product development or manufacturing (preferred).
  • Proficiency in scripting and programming (Python, Java, C++, SQL) and familiarity with Git, CI/CD, and cloud environments like AWS (preferred).
  • Working knowledge of AI/ML, generative AI tools, data integration, databases, and APIs (preferred).
  • Background with engineering tools including PLM (Teamcenter), CAD (NX), Systems Engineering (Cameo), and analysis (Ansys) (preferred).

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