Artificial Intelligence Space Engineer
Pubblicato il 10-10-2026 - Thales Group in Lazio
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