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