AI & Automation Lead - Product Development

Posted 7 Days Ago
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Evendale, OH, USA
In-Office
Mid level
Aerospace • Energy
The Role
Lead the transformation of engineering workflows through AI-native process redesign, automation, and digital engineering solutions. Integrate AI capabilities into platforms such as Teamcenter, NX, Cameo, and Ansys; guide solution development using Agile, SDLC, and CI/CD practices; establish adoption, support, and performance metrics; and collaborate with engineering, digital technology, and information assurance teams in classified environments.
Summary Generated by Built In
Job Description SummaryJoin us in a high-impact role where you’ll build the next generation of automation and AI solutions that transform how engineering gets work done. This is a chance to work at the intersection of software development, digital engineering, and advanced integration—delivering scalable capabilities across platforms like Teamcenter, NX, Cameo, and cloud-based environments. If you’re energized by solving complex technical problems, partnering with cross-functional teams, and turning bold ideas into real business outcomes, this role offers the opportunity to shape both today’s tools and tomorrow’s vision.

Job Description

Roles and Responsibilities
Process Redefinition & Transformation

  • 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 gets done, rather than simply automating existing steps
  • Identify, prioritize, and build the business case for automation and AI opportunities based on measurable impact (productivity, cycle time, quality, etc.)
  • Define multigenerational capability roadmaps that balance near-term wins with a long-term digital engineering vision

Engineering Partnership & Adoption

  • Embed with engineering teams to co-develop and validate solutions, ensuring tools fit how engineers actually 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 sustainability of tools to support business outcomes at business pace 

AI Integration & Solution Delivery

  • Integrate AI and automation capabilities into engineering toolchains (Teamcenter, NX, Cameo, Ansys, etc.) and the broader digital thread
  • Evaluate and apply AI technologies (generative AI, agents, ML models) to engineering use cases, guiding build vs. buy vs. leverage decisions
  • Guide the design, development, and deployment of automation and AI tools using Agile, SDLC, and CI/CD practices, contributing hands-on development where needed
  • Work with Information Assurance (IA) and Digital Technology (DT) teams to deploy and sustain tools in classified environments
  • Establish metrics to track solution performance and business impact, and drive continuous improvement

Required Qualifications 

  • Bachelor's degree in engineering, computer science or similar from an accredited university or college
  • Minimum of 3 years of experience in engineering, manufacturing, digital technologies or other technical field
  • Due to the nature of the duties of this position, this role requires the individual to obtain and maintain US Government Security Clearance; prerequisite for a security clearance is U.S. citizenship
  • Experience with digital transformation and / or AI-native process redefinition, preferably with a focus on product development or manufacturing

Desired Characteristics

  • AI & Data: Working knowledge of AI/ML and generative AI tools and frameworks (e.g., LLMs, agents, PyTorch, scikit-learn), and of data integration concepts, databases (SQL/NoSQL), APIs, and web services
  • Software & Cloud: Proficiency in scripting and programming (Python, Java, C++, SQL) and familiarity with modern development practices, including Git, CI/CD, automated testing, containerization (Docker/Kubernetes), and AWS or other cloud environments
  • Engineering Tools: Background with engineering tools and their data structures and APIs, including PLM (Teamcenter), CAD (NX), Systems Engineering (Cameo), and analysis (Ansys)
  • Digital Engineering: Understanding of digital engineering processes, particularly CAD workflows and engineering analysis, with experience leading digital transformation in engineering or manufacturing
  • Process & Requirements: Ability to map business processes, capture requirements, and scope technical solutions
  • Collaboration & Communication: Effective communicator with technical and non-technical audiences who works well in cross-functional teams and influences stakeholders
  • Execution: Proven ability to work independently, think analytically, and persist through complex technical problems

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.

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 Information

GE 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). Employees may also be subject to random and reasonable-suspicion drug and alcohol testing.


Relocation Assistance Provided: Yes

Skills Required

  • Bachelor's degree in engineering, computer science, or a related field from an accredited university or college
  • Minimum of 3 years of experience in engineering, manufacturing, digital technologies, or another technical field
  • Ability to obtain and maintain a U.S. Government security clearance
  • U.S. citizenship as a prerequisite for security clearance
  • Experience with digital transformation or AI-native process redefinition, preferably in product development or manufacturing
  • Working knowledge of AI/ML and generative AI tools and frameworks, including LLMs, agents, PyTorch, or scikit-learn
  • Knowledge of data integration, SQL/NoSQL databases, APIs, and web services
  • Proficiency in Python, Java, C++, and SQL
  • Familiarity with Git, CI/CD, automated testing, Docker, Kubernetes, and AWS or other cloud environments
  • Experience with Teamcenter, NX, Cameo, Ansys, PLM, CAD, or systems engineering tools
  • Understanding of digital engineering processes, CAD workflows, and engineering analysis
  • Ability to map business processes, capture requirements, and scope technical solutions
  • Effective communication and cross-functional collaboration skills
  • Ability to work independently, think analytically, and solve complex technical problems

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.

  • 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.
  • 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.
  • 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.

GE Aerospace Insights

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The Company
HQ: Cincinnati, OH
156,896 Employees
Year Founded: 1917

What We Do

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