Artificial Intelligence Space Engineer
Pubblicato il 19-10-2026 - Thales Group in Latina
Overview
As an Artificial Intelligence Engineer at Thales Alenia Space, you design and integrate trustworthy AI components across domains, selecting cutting-edge approaches to meet user needs. You will work on NLP, multimodal human–machine dialogue, and data-driven or symbolic AI to solve complex space-related problems. The role emphasizes a scientific engineering method, traceability, and staying ahead of trends in AI, ethics by design, and cybersecurity.
You join a collaborative, cross-functional team contributing to space missions and advanced orbital infrastructures.
Retribuzione / Benefits
- mobility policy
- international career opportunities
- career development
- working on space missions
- cross-site collaboration
- dynamic, innovative culture
Responsabilità
- Design and develop trustworthy AI components for diverse domains
- Identify and apply cutting-edge AI technologies (ML, symbolic, dialogue) to components
- Develop NLP/NLU and multimodal human–machine dialogue solutions
- Explore ML techniques, causality vs. correlation, and data-driven AI methods
- Work with Symbolic AI (ontology, knowledge reasoning, meta-heuristics) and Operations Research
- Propose and compare design approaches to maximize customer value
- Incorporate scientific methodology, data knowledge, and traceability into engineering
- Maintain continuous technowatch and awareness of trends (technical, ethical by design)
- Define system capabilities via functional, logical, and value analyses to meet user needs in various scenarios
Requisiti fondamentali
- Strong foundation in mathematics and statistics
- Proficiency in AI approaches: data-driven, symbolic, or hybrid AI
- Knowledge of NLP/NLU, dialogue systems, and human–machine interaction
- Understanding of cybersecurity, standards and norms
- Ability to communicate with multidisciplinary teams
- Experience with statistical modelling, optimization, and machine learning concepts
- Interest in outside-the-box thinking and user-centric design
- Familiarity with evaluating and iterating AI components in an engineering context
- team player
- collaborative
- curious and eager to stay updated on trends
- Data-driven AI
- Symbolic AI
- Hybrid AI