{"id":2632642,"url":"https://alion.io/job/thales-group-ai-security-engineer-2","title":"AI Security Engineer","company":{"id":143,"name":"Thales Group","domain":"thalesgroup.com","url":"https://alion.io/company/thales","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":98,"open_postings":34,"ghost_share":0.029,"stale_share":0,"repost_share":0.029,"time_to_fill_p50_days":47,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Security","role_family":"Security","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Belgium"],"countries":["BE"],"hiring_countries":["BE"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":52000,"max_usd":130000,"period":"year","method":"role_country_seniority_unknown","sample_n":8},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"EU AI Act","optional":false},{"name":"GCP","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"NIST AI RMF","optional":false},{"name":"OWASP","optional":false},{"name":"OWASP Top 10","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Threat Modeling","optional":false}],"status":"live","first_seen_at":"2026-10-14T00:00:00Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-15T16:35:42Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Les entreprises et les gouvernements comptent sur Thales pour apporter de la confiance aux milliards d’interactions numériques qu’ils établissent avec les utilisateurs. L’Activité Mondiale Identité & Sécurité Numériques (DIS) fournit des technologies et services (des logiciels sécurisés en passant par la biométrie ou encore le cryptage), qui permettent aux entreprises ainsi qu’aux gouvernements de vérifier des identités, et de protéger les données afin qu’elles restent sûres.AI Security Engineer\nThe AI Security Engineer is a technical and consulting role focused on the design, development and production deployment of AI systems, both for client engagements and to support the organization's internal needs. The role complements the AI Security Advisor: where the latter drives strategy, governance and advisory, the AI Security Engineer focuses on execution. They build, ship and maintain the solutions, with clients and internally, embedding security best practices from design onward.\nThe role combines a strong appetite for software engineering with curiosity for applied AI (LLMs, agents, RAG, MLOps) and the associated security challenges. A significant share of the activity is dedicated to client engagements: requirements gathering, design, prototyping, development, support to production rollout, and knowledge transfer. In parallel, the AI Security Engineer contributes to the organization's strategic internal initiatives (AI-enabled business tools, agentic automations for security, transverse RAG platforms), which also serve as a learning ground and as a basis for capitalizing on client engagements.\nDirect report: AI Security Advisor / Senior Management\nTasks and Responsibilities\nClient engagements and consulting\nDeliver on client projects that require software engineering and the secure integration of AI components, with a level of autonomy adapted to the profile and to the engagement context.\nTake part in scoping workshops with clients: understanding the business need, translating it into a technical architecture, identifying security and compliance constraints.\nDesign, prototype and develop the solutions delivered to clients: LLM integrations, RAG, agents, AI-driven automations, within the framework set by the AI Security Advisor.\nSupport the client through to production: industrialization, secure deployment pipelines, knowledge transfer to the client's internal teams.\nContribute to pre-sales activities: demos, PoCs, technical estimates, technical sections of RFP responses, alongside the sales teams and the AI Security Advisor.\nRepresent the organization in front of clients with a strong level of communication, pedagogy and consulting posture.\nCapitalize after each engagement: lessons learned, reusable components, contributions to internal frameworks and standards.\nDevelopment and industrialization of internal AI tools\n AI-enabled business tools : actively contribute to the development and evolution of internal solutions (for example in CRM, due diligence or decision support domains), embedding software quality and security best practices.\nDocument processing pipelines : contribute to the development and maintenance of automated document processing tools, ensuring pipeline robustness and the protection of the data being handled.\n Agentic automations for security : develop agentic components for cybersecurity operations (notably SOC use cases), in close collaboration with the Cyber Defense teams and the AI Security Advisor.\nDesign and develop internal tools based on RAG, agents and AI-driven automations to support the needs of IT, HR and other departments.\nIndustrialize PoCs and PoVs produced by the AI team into robust, maintainable solutions.\nDocument, test and maintain the delivered solutions over time.\nEmbedding security in AI development\nApply secure coding and application security best practices in the code produced, both internally and for clients.\nSecure AI deployment pipelines: CI/CD, secrets management, dependency control, API and cloud integrations.\nImplement defense mechanisms suited to AI systems: guardrails, input and output filtering, monitoring, control over the tools accessible to agents.\nContribute, with the AI Security Advisor, to the operational implementation of reference frameworks (OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF) within projects.\nTake part in threat modeling and code review activities on AI components, in collaboration with the AI Security Advisor.\nWatch and capitalization\nKeep up to date on tools, frameworks and best practices for AI development and the associated application security.\nDevelop reusable libraries, scripts and components to accelerate future projects.\nContribute to internal knowledge sharing: lessons learned, demos, documentation.\nCapitalize on project insights to feed the standards and frameworks driven by the AI Security Advisor.\nCollaboration and communication\nWork closely with the AI Security Advisor to ensure alignment between strategy and execution.\nCollaborate with delivery and R&D teams.\nCommunicate effectively with technical stakeholders (dev, DevSecOps, MLOps) as well as non-technical ones (business, management).\nContribute to coordination with Thales global initiatives around AI.\nSkills\nExpected technical foundation\nSolid software engineering fundamentals, ideally in Python, with care for clean, tested and maintainable code.\nCuriosity and first hands-on experience with modern AI architectures: LLMs, RAG, agent frameworks, API-based integrations.\nAwareness of application security topics: understanding of common vulnerabilities (OWASP Top 10) and secure coding principles.\nFoundations on at least one cloud platform (AWS, Azure or GCP) and on DevOps practices (CI/CD, containerization, infrastructure as code).\nTopics to grow into within the role\nDesign and industrialization of production-grade AI solutions: advanced RAG, agents, orchestration, observability.\nAI-specific risks and the associated defense techniques: prompt injection, data poisoning, guardrails, agent sandboxing, tool access control.\nReference frameworks and standards in the field: OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, AI Act.\nMLOps practices and the securing of AI deployment pipelines.\nMindset and personal qualities\nGenuine passion for AI and cybersecurity, with visible personal practice: side projects, open source contributions, experimentation, blogging, active watch.\nStrong interpersonal skills and a willingness to work directly with clients: listening, rephrasing, simplifying, defending a position on technical grounds.\nCuriosity, autonomy and the ability to learn fast in a field that evolves every week.\nStrong delivery mindset: finish what you start, ship things that work, and iterate.\nAbility to communicate simply, in writing and orally, in French and English, in a professional context and in front of varied audiences (technical and business).\nEagerness to work in close collaboration with the AI Security Advisor and to grow on AI, security and consulting topics.\nCandidate profile\nThe position is open to all experience levels, from junior to senior. The scope of engagements, the level of autonomy and the client-facing posture will be calibrated accordingly.\nThe common foundation expected is a software engineering background combined with a real appetite for cybersecurity, AI and consulting topics.\nFor more junior profiles, demonstrated passion, fast learning ability and the appetite for project-based work matter more than formal experience. For more senior profiles, prior exposure to client environments and to AI or application security projects will be valued.\nPersonal projects related to AI, software engineering or application security are a strong plus regardless of experience level.\nRequired Languages/\nFrench or Dutch native\nEnglish is a plus \nValued certifications\nNo certification is required upon hiring. A skills development plan will be set up and may include the GIAC certifications dedicated to AI security, which directly map to the scope of the role:\n GIAC AI Platform Security (GAIPS) : securing GenAI applications and LLM development pipelines (integrations, APIs, MLOps, agents).\n GIAC AI Security Automation Engineer (GASAE) : automation and AI applied to offensive, defensive and cloud security operations, particularly relevant to agentic automations in cybersecurity.\n GIAC Offensive AI Analyst (GOAA) : offensive techniques related to AI (deepfakes, guardrail bypass, AI-assisted malicious code generation), useful to inform defensive practices.\nOther cybersecurity or cloud certifications (OSCP, OSCE, AWS/Azure/GCP certifications, etc.) will also be valued.\nThales, entreprise Handi-Engagée, reconnait tous les talents. La diversité est notre meilleur atout. 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