Senior AI Architect (w/m/x)
GE Aerospace17 days 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.