2 days ago
Bucharest, RomaniaSenior
Responsibilities
- Deliver training programs and interactive presentations for international engineering clients.
- Guide client technical teams through production-grade generative AI workflows.
- Lead hands-on lab exercises using predefined enterprise use cases.
- Build and demonstrate applications using RAG architectures, LLM agents, and tool integration including MCP standards.
- Set up and manage cloud-based sandbox environments, including cloud VMs, containerized JupyterHubs, and managed platforms.
- Travel as required.
Requirements
- Deep, hands-on development experience building production applications with RAG architectures, LLM agents, and tool integration including MCP standards.
- Ability to provision and manage cloud-based sandbox environments accessible without corporate network setups.
- Strong verbal and written technical communication skills in English.
- Technical training experience or a proven record of delivering technical sessions to enterprise audiences is preferred.
- Experience with containerization for AI, storage usage for AI, network usage for AI, or pipeline design is preferred.
Benefits
- The role is based in Bucharest, Romania.
- Travel is required.
- Thales describes a supportive culture centered on respect, trust, collaboration, and passion.
Categories
About Thales
Thales designs and sells defense, aerospace, space, and digital identity/cybersecurity systems to governments, armed forces, infrastructure operators, and enterprises. Its portfolio spans avionics, radars and sensors, satellites, air traffic management, secure communications, and cybersecurity and identity solutions (bolstered by the 2019 Gemalto acquisition). Headquartered in Meudon, France, Thales is publicly traded on Euronext Paris (HO) and reported €20.6 billion in sales in 2024.