Artificial Intelligence Space Engineer

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

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