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 experienced AI Architect to lead the design development and industrialization of advanced AI solutions across the organization. This role is intended for a senior professional with deep expertise in machine learning generative AI solution architecture and MLOps combined with the ability to translate business needs into scalable secure and high-impact AI products.

The ideal candidate brings strong hands-on and strategic experience across the full AI lifecycle: from opportunity shaping and architecture design to experimentation deployment and continuous improvement. This person will work closely with business stakeholders product teams data scientists engineers and leadership to define and deliver AI capabilities that create measurable business value.

This role requires both technical depth and architectural leadership including the ability to guide teams define standards influence direction and ensure solutions are robust responsible and production-ready.

Job Description

Responsibilities

AI Architecture and Solution Design
Define end-to-end architecture for AI and GenAI solutions including classical ML NLP multimodal AI and agentic systems.
Design scalable and secure architectures for:
LLM-based applications
Retrieval-Augmented Generation (RAG)
Agentic and multi-agent systems
Multimodal solutions such as image-to-text video understanding and speech-to-text
Translate business requirements into technical solution designs architectural blueprints and implementation roadmaps.
Ensure AI solutions are aligned with enterprise architecture cybersecurity data governance and compliance requirements.

Delivery Leadership
Lead AI solution development across the full lifecycle: discovery requirements gathering experimentation prototyping testing deployment and production support.
Partner with cross-functional teams to industrialize AI use cases and transition prototypes into scalable enterprise products.
Drive best practices in AI engineering reusable components and platform-based delivery.
Support project planning estimation prioritization and technical risk management.

Technical Leadership
Provide technical leadership to multidisciplinary teams including data scientists ML engineers data engineers analysts and software developers.
Mentor team members and help grow organizational capability in AI architecture GenAI MLOps and responsible AI.
Review solution designs code model approaches and deployment strategies to ensure quality and maintainability.
Contribute to technical standards architecture governance and design reviews.

Stakeholder Engagement
Engage with business and functional leaders to identify AI opportunities and define high-value use cases.
Present technical concepts and solution proposals to senior stakeholders in a clear and business-relevant way.
Support pre-sales RFI/RFP responses capability presentations and client/internal leadership discussions where applicable.
Act as a trusted advisor on AI strategy feasibility scalability and adoption.

Operational Excellence and Responsible AI
Define and promote best practices for model deployment monitoring MLOps observability versioning and lifecycle management.
Ensure AI solutions are reliable explainable where needed and governed appropriately.
Promote secure sustainable and responsible use of AI technologies across the organization.
Stay current with emerging AI technologies and evaluate their relevance to business needs.

Required Skills and Experience

Degree in Computer Science Data Science Artificial Intelligence Engineering Mathematics Statistics or a related field.

Proven experience designing and delivering AI solutions in production environments at scale.

Experience working across multiple phases of the AI lifecycle from ideation to production deployment.

Generative AI

LLM application architecture

Agentic workflows / multi-agent systems

Prompt design and LLM orchestration

Experience with cloud-based AI/ML ecosystems such as Azure AWS or GCP.
Experience with data pipelines API-based integrations and production-grade AI systems.

Understanding of solution architecture principles including scalability resilience modularity and security.

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