TECHNOLOGY ENGINEER
Pubblicato il 18-10-2026 - 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