Senior AI Architect (w/m/x)
GE Aerospace2 months ago
Warsaw, PolandSenior
Responsibilities
- Define end-to-end architectures for AI and generative AI solutions, including classical ML, NLP, multimodal AI, and agentic systems.
- Design scalable and secure architectures for LLM applications, RAG, agentic and multi-agent systems, and multimodal solutions.
- Translate business requirements into solution designs, architectural blueprints, and implementation roadmaps.
- Lead AI delivery across discovery, requirements gathering, experimentation, prototyping, testing, deployment, and production support.
- Industrialize AI use cases and transition prototypes into scalable enterprise products with reusable components and platform-based delivery.
- Provide technical leadership and mentorship to multidisciplinary AI and software teams.
- Review solution designs, code, model approaches, and deployment strategies for quality and maintainability.
- Define best practices for model deployment, monitoring, MLOps, observability, versioning, lifecycle management, and responsible AI.
- Engage stakeholders to identify AI opportunities, present solution proposals, and advise on AI strategy, scalability, feasibility, and adoption.
- Support project planning, estimation, prioritization, technical risk management, pre-sales, RFI/RFP responses, and capability presentations.
Requirements
- 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 across multiple phases of the AI lifecycle, from ideation through production deployment.
- Experience with generative AI, LLM application architecture, agentic workflows or 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.
- Ability to provide architectural leadership, guide multidisciplinary teams, communicate with senior stakeholders, and promote secure, explainable, sustainable, and responsible AI.
Benefits
- Flexible work schedule and hybrid work model adjusted to employee needs.
- Competitive salary and annual bonus.
- Copyright-cost tax reduction.
- Global career opportunities in the aerospace industry.
- Continuous learning and improvement environment.
- Onboarding and mentoring support.
- Employee initiatives and benefits designed for varied lifestyles.
- Relocation assistance is not provided.
Tech Stack
Categories
About GE Aerospace
GE Aerospace designs and manufactures jet and turboprop engines, plus integrated avionics, power, and mechanical systems for commercial, business, and military aircraft. It sells to airframe OEMs, airlines, and defense operators, and derives significant revenue from long-term maintenance and aftermarket support. The company is headquartered in Cincinnati, Ohio, and operates as a standalone public company on the NYSE (ticker GE).