Generative & Agentic AI Engineer Air Traffic Management Innovation

Thales is a global technology leader trusted by governments institutions and enterprises to tackle their most demanding challenges. From quantum applications and artificial intelligence to cybersecurity and 6G innovation our solutions empower critical decisions rooted in human intelligence. Operating at the forefront of defence and security aerospace and space cybersecurity and digital identity were driven by a mission to build a future we can all trust.

In Romania we are advancing innovation through software engineering research and development delivering solutions in key markets in which Thales Group operates. Our engineers design develop and integrate solutions that impact global industries from fully operational systems and subsystems for naval warfare and maritime security operations to air traffic management systems satellite-based solutions tactical indoor simulations identity and biometric technologies and more.

Role: Generative & Agentic AI Engineer - Air Traffic Management Innovation

Ready for takeoff Imagine an AI that doesnt just analyze ATC data it autonomously generates simulates and tests air traffic scenarios in seconds so controllers and V&V teams can train smarter and validate faster. Thats what the ALES platform is built to do!

Part of the Global Business Unit Land and Air Systems (LAS) within Thales Group Thales AMS (Airspace Mobility Solutions) is providing leading edge airspace control and security solutions for the commercial and defense sectors as well as digital solutions for Unmanned Traffic Management (UTM) and Digital Aviation. AMS is the global market leader in the space of Air

Traffic Management and one of the most credible players in the new UTM space. AMS address different markets of Air Traffic Control (ATC) solutions (mainly SW based).

ALES project is a groundbreaking agentic AI platform transforming Air Traffic Control (ATC) operations by autonomously generating simulating and analyzing ultra-realistic scenariosenabling smarter decision-making for Verification & Validation (VnV) training and strategic planning.

By combining Generative AI vast flight datasets and immersive 2D/3D visualization ALES redefines airspace efficiency safety and controller preparedness. The platform seamlessly integrates with industry-standard systems supports dynamic scenario adaptation (e.g. weather disruptions traffic conflicts) and accelerates testingreducing manual effort while ensuring

precision scalability and compliance.

At its core ALES converts real-world data into high-fidelity simulations empowering users to proactively optimize performance mitigate risks and innovate in an evolving ATC landscape.

Mission:

Develop and enhance the AI core of ALES platform that autonomously generates simulates and analyzes Air Traffic Control (ATC) scenariosenabling data-driven decision-making for Verification & Validation (VnV) training and operational planning.

What youll do:

• Architect agentic AI systems that self-generate realistic ATC scenarios from routine operations to edge cases reducing manual scenario design from days to minutes
• Turn raw data into actionable intelligence: Leverage 1M flight plans weather patterns and airspace constraints to create simulations that predict adapt and improve ATC decision-making
• Push the limits of Generative AI: Develop self-learning models that evolve with real-world operations ensuring our platform stays ahead of emerging ATC challenges
• Bridge AI and aviation expertise: Collaborate with ATC veterans data scientists and engineers to translate operational needs into AI-driven solutions
• Deliver impact at scale: Your code will directly enhance airspace safety controller training and global ATC efficiency with measurable outcomes.

Required competencies:

• AI Fundamentals: Strong understanding of AI/ML principles including Generative AI agentic architectures and
• autonomous decision-making systems.
• Problem-Solving: Ability to translate complex operational requirements (e.g. ATC constraints) into AI-driven solutions.
• Collaboration: Experience working with cross-functional teams (e.g. aviation experts software engineers data scientists).
• Agile Development: Familiarity with iterative development and continuous improvement in AI/software projects
• Knowledge of the following (or similar) tools: Jira Confluence
• Ability to be innovative and curious in relation to new technologies and their application

Technical expertise:

Programming:

• Python (advanced proficiency for AI/ML and backend development)
• JavaScript (for frontend interactions and scripting)
• Kotlin (for specific backend/services integration)

AI/ML:

• Hands-on experience with agentic AI systems (e.g. multi-agent architectures LangChain or similar frameworks)
• Knowledge of Generative AI models (e.g. LLMs prompt engineering or fine-tuning)

DevOps & Deployment:

• Containerization: Proficiency with Docker (including multi-container setups and orchestration)
• CI/CD Pipelines: Experience with GitLab CI for production-grade deployment
• MCP Servers: Familiarity with management configuration and scaling of server environments

Databases:

• PostgreSQL (design querying and optimization)
• MinIO (or similar object storage solutions)

Testing:

• Pytest for unit testing (especially for UI/backend integration).

Frontend:

• React (for developing and maintaining user interfaces)

Nice to Have:

• ATC/Aviation Domain Knowledge: Understanding of air traffic control operations scenario simulation or ICAO standards.

Connect with Andreea Burcea Talent Acquisition Partner #LI-BA1 who is eager to explore together with you this exciting opportunity.

At Thales were committed to fostering a workplace where respect trust collaboration and passion drive everything we do. Here youll feel empowered to bring your best self thrive in a supportive culture and love the work you do. Join us and be part of a team reimagining technology to create solutions that truly make a difference for a safer greener and more inclusive world.