Senior AI Architect (w/m/x)

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.
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Benefits

Additional Information

Job Description Summary At GE Aerospace we believe that the world works better when it's 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 Women's 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

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