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, we’re 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: Agentic AI Engineer for Secure Software Engineering (Mid-level)
🤖🔐 We’re building agentic AI for secure software delivery - join our team in Engineering & Digital Transformation to develop agents that make SSDLC security faster, smarter, and easier to operate.
In Thales Engineering & Digital Transformation, we build and evolve engineering tools and practices that accelerate secure software delivery across the lifecycle.
We’re strengthening our team with a Mid-Level Agentic Developer to design and deliver LLM-powered agents that improve Thales’ Secure Software Development Life Cycle (SSDLC).
Your focus:
- Making cybersecurity activities faster, smarter, and more scalable starting with vulnerability detection and remediation and supporting the team in building real engineering value from agentic AI
What you’ll do:
- First priority: vulnerability detection and remediation
- Design and develop agentic AI tools to automate cybersecurity workflows inside SSDLC
- Build and iterate on multiple agents that help teams execute secure development activities more efficiently.
- Prototype, experiment, and assess new approaches through technical implementation and evaluation (including vendor/open-source solutions).
- Contribute to SSDLC tooling improvement by integrating your solutions with existing practices and platforms.
- Collaborate in Agile ceremonies (backlog refinement, DoR/DoD validation, sprint reviews) and propose well-scoped work items
Support team members by sharing knowledge and best practices on:
- LLM technologies
- Agentic patterns
- Cloud-based delivery approaches
- Stay on top of the technology landscape (AI for cybersecurity) and recommend tools/tactics based on evidence
How you’ll work with us:
- You’ll join a team responsible for engineering tooled practices and digital/AI transformation, where curiosity, hands-on experimentation, and strong collaboration are key
- You’ll help turn innovative AI concepts into usable, reliable security tooling for real development teams.
Requirements:
- Strong knowledge of LLMs and agentic systems
- Good understanding of SSDLC steps and existing security tooling
- Cloud experience: Azure and GCP
- Experience building with LLMs accessible through an AI gateway (models v1 API), a cloud-premise agentic platform (being set up)
- Ability to experiment with technologies and communicate outcomes clearly in fluent technical English (writing + speaking)
Nice to have:
- MLOps experience
- AI certification(s)
Soft skills:
- Teamwork, problem solving, time management
- Attention to detail
- Strong communication and willingness to help others
Connect with Andreea Burcea, Talent Acquisition Partner #LI-BA1 who is eager to explore together with you this exciting opportunity.
At Thales, we’re committed to fostering a workplace where respect, trust, collaboration, and passion drive everything we do. Here, you’ll 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.
Skills Required
- Strong knowledge of LLMs and agentic systems
- Good understanding of SSDLC steps and existing security tooling
- Cloud experience: Azure and GCP
- Experience building with LLMs accessible through an AI gateway (models v1 API)
- Experience with a cloud-premise agentic platform (being set up)
- Ability to experiment with technologies and communicate outcomes clearly in fluent technical English (writing + speaking)
- MLOps experience
- AI certification(s)
- Teamwork, problem solving, time management, attention to detail, strong communication
Thales Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Thales and has not been reviewed or approved by Thales.
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Retirement Support — Retirement plans with employer contributions and matches, profit sharing, and share purchase opportunities are emphasized across multiple regions. These elements are positioned as competitive components of total rewards.
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Leave & Time Off Breadth — Generous PTO that increases with tenure, paid holidays, and paid military, maternity, and paternity leave are described. This breadth supports work–life balance across locations.
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Flexible Benefits — Hybrid work options, flexible schedules, and parental supports such as childcare benefits and leave for sick children are available in several markets. Flexibility is presented as a core part of the employee experience.
Thales Insights
What We Do
Thales is a global high technology leader investing in digital and “deep tech” innovations – connectivity, big data, artificial intelligence, cybersecurity and quantum technology – to build a future we can all trust, which is vital to the development of our societies. The company provides solutions, services and products that help its customers – businesses, organisations and states – in the defence, aeronautics, space, transportation and digital identity and security markets to fulfil their critical missions, by placing humans at the heart of the decision-making process.
