System Engineer, AI

Thales

. Bring innovation through collaborative and multidisciplinary teams .

Posted 10/15/2026full-timeMadrid • SpainMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Artificial Intelligence, particularly in Natural Language Processing and multimodal Human-Machine Dialog, while effectively translating user needs into actionable specifications. Exhibits strong leadership and collaborative skills to influence teams and drive innovative AI solutions.

Highest-signal resume keywords

Artificial Intelligence EngineeringNatural Language ProcessingAlgorithm DesignTeam LeadershipUser-Centric Approach

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Artificial IntelligenceNatural Language UnderstandingData Driven AICooperative Human/Machine DialogSymbolic AISystems AnalysisMathematicsStatisticsFunctional AnalysisValue Analysis

Soft Skills

Collaborative WorkCreative Problem SolvingInfluencing SkillsMentoringStructured Thinking

Certifications & Qualifications

Master’s DegreePhD

Industry Keywords

Artificial Intelligence StrategyHuman-Machine DialogEthical AIAI NormsAI Standards

About the role

Key responsibilities & impact

Bring innovation through collaborative and multidisciplinary teams
Support, develop, and promote the Artificial Intelligence discipline at the highest level of the organisation
Contribute to Thales Artificial Intelligence strategy by developing expertise in an Artificial Intelligence specialty domain
Propose and design Artificial Intelligence functionalities, alternative approaches, and breakthroughs
Work on Natural Language Processing (NLP) and Natural Language Understanding (NLU)
Design multimodal approaches for Human-Machine Dialog, including intention understanding, reasoning, and hybrid AI
Define system capabilities through functional, logical, and value analysis
Describe functions needed to meet user needs in various scenarios and maximise customer product value
Translate end-user needs into specifications

Requirements

What you’ll need

Graduated from an Engineering School with a master’s degree; a PhD is a plus
Proven experience in different environments and technologies using Artificial Intelligence
Experience as an Artificial Intelligence engineer, Artificial Intelligence specialist, start-up CTO, or Artificial Intelligence expert
Willingness to mentor and share knowledge
Recognised team player who enjoys collaborative work
Synthetic and helicopter view of the organisation
Creative, resourceful, structured, and solution oriented
Ability to influence and guide teams for strategic and technical decisions using an “outside in” approach
User-centric approach and commitment to continuously updating expertise
In-depth knowledge of at least one specialty: Algorithm design, Cooperative Human/Machine dialog, Data Driven AI, Symbolic AI and reasoning, Systems Analysis, or Mathematics and statistics
Ability to discuss with people from different jobs and backgrounds
Outstanding problem-solving skills and passion for solving hard problems
Deep knowledge or influence on the latest technical, philosophical, and ethical-by-design trends and Artificial Intelligence norms, laws, and standards
Strong team leadership abilities to influence and guide teams while promoting constructive confrontations and challenging attitudes

Benefits

Comp & perks

Flexible working hours
Shorter working days on Fridays and during summer
Remote-friendly - 2/3 days a week working from home
Restaurant allowance
Social benefits, including health insurance and kindergarden
Personal development opportunities
Opportunities to build talents in another domain of Thales Group
Choice between a technical expertise or a leadership path
International career opportunities within Thales Group
Internal mobility across countries, domains, products, customers, and sites