Job Description Summary

At GE Aerospace we believe that the world works better when its moving. Together we are creating a future of aviation where human safety is of the greatest importance.

In our company we have been offering a flexible working model for many years now as to give our employees the possibility to adjust working hours to suit their individual needs. Our employees easily combine their professional and private responsibilities and have time to pursue their passions. No matter what stage of your career you are at you can count on the support and mentorship of the best experts in the industry.

On GE Aerospace Warsaw campus we design aircraft engines and develop advanced technologies such as cooling methods for engine components as well as create statistical models and software applications for aviation. We develop all solutions in diverse teams in which the best experts eagerly share their knowledge. At GE Aerospace we work together to achieve success. What is more a career at GE Aerospace is not only an opportunity to work in an international environment but also a chance to gain experience while visiting laboratories factories and repair shops around the world.

At GE Aerospace we give our employees space for comprehensive development by supporting a variety of employee initiatives and interest groups including GE Womens Network PRIDE Alliance HealthAhead Early Careers Network and GE Aerospace Volunteers. Our flexible working model is based on the concept of work-life balance because at GE Aerospace we believe that people come first in our organization.

We are seeking an AI Lead Developer to support the design and deployment of AI solutions that address real business needs and can be scaled across the organization. This role is intended for a strong technical professional with hands-on experience in AI development machine learning and generative AI applications combined with the ability to work across the full solution lifecycle from prototype to production.

The Lead AI Developer will play a key role in implementing AI solutions supporting architecture decisions and helping translate business and technical requirements into working products. The role will partner closely with architects product owners engineers and business stakeholders to deliver reliable scalable and maintainable AI capabilities.
This position is suited for someone who combines strong development skills with practical problem-solving solid delivery discipline and the ability to guide implementation work across AI initiatives.

Job Description

Key Responsibilities
Develop and implement AI and Generative AI solutions for business and engineering use cases.
Build test and deploy applications using machine learning NLP LLMs and related technologies.
Translate functional and technical requirements into working AI solutions.
Contribute to the implementation of RAG-based prompt-driven and other AI-enabled applications.
Support integration of AI capabilities into existing tools systems and workflows.
Partner with technical leads and architects to ensure solutions are scalable supportable and aligned with standards.
Participate in experimentation prototyping validation and production deployment activities.
Troubleshoot solution issues and support continuous enhancement of deployed AI products.
Follow established development testing and documentation practices.
Contribute to team knowledge sharing and capability building in AI development.

Required Qualifications
Bachelors degree in Computer Science Data Science Artificial Intelligence Engineering Mathematics or related field.
Relevant professional experience in AI development machine learning software engineering or related technical roles.
Hands-on experience developing and implementing AI or ML solutions in a business environment.
Experience with Python and common AI/ML development frameworks.
Knowledge of machine learning natural language processing and Generative AI applications.
Experience building or supporting solutions such as chat-based tools prompt-based workflows RAG applications or model/API integrations.
Familiarity with cloud platforms such as Azure AWS or GCP.
Understanding of APIs deployment practices and production support considerations.
Strong problem-solving collaboration and communication skills.

Preferred Qualifications
Experience with MLOps or LLMOps practices.
Familiarity with vector databases embeddings and semantic search.
Experience with testing evaluation and monitoring of AI applications.
Exposure to multimodal AI document intelligence or speech-enabled solutions.
Experience working in Agile delivery environments.
Familiarity with responsible AI privacy and secure implementation practices.
Experience mentoring junior team members or leading technical tasks within a project.

Benefits

Join us to see your career take flight today.

We offer:

• Flexible work schedule and hybrid work model adjusted to your needs

• Fascinating job in dynamically growing aerospace industry

• Competitive salary annual bonus copyright costs tax reduction

• Diverse career opportunities globally

• Environment of continuous learning and improvement

• Onboarding support to make your start easier mentoring support through your career

• Benefits fit to all lifestyles

• Wide variety of employee initiatives

Additional Information