Architecte Sécurité Données - IA Générative et Agentique

Thales
Quebec City
Workplace: HybridFull timeFunction: CybersecurityExperience: 5+ yearsEducation: bachelorsSkills: ["Technical leadership","Communication","Collaboration","Leadership","Curiosity"]

Define and govern security architecture for next-generation data fusion and Generative/Agentic AI platforms in a command-and-control information system context. Partner with data, AI, cybersecurity, and engineering teams to apply Data Centric Security, Zero Trust, and Security-by-Design across the full data lifecycle. Design governance, auditability, provenance and data lineage, and advance DevSecOps, MLOps, and LLMOps practices on Google Cloud for secure, reliable deployments.

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FursaFursa
Thales
Thales
1 day ago

Architecte Sécurité Données - IA Générative et Agentique

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Last checked: 11 hours agoStatus: Live

Job Summary

Define and govern security architecture for next-generation data fusion and Generative/Agentic AI platforms in a command-and-control information system context. Partner with data, AI, cybersecurity, and engineering teams to apply Data Centric Security, Zero Trust, and Security-by-Design across the full data lifecycle. Design governance, auditability, provenance and data lineage, and advance DevSecOps, MLOps, and LLMOps practices on Google Cloud for secure, reliable deployments.
Location: Quebec City
Workplace: Hybrid
Employment Type: Full time
Job Function: Cybersecurity
Seniority: Mid level

Key Responsibilities

  • •Define, implement, and govern data security architecture and operations for data fusion and Generative/Agentic AI solutions in a C2IS context.
  • •Apply Data Centric Security principles, Zero Trust, and Security-by-Design across the full data lifecycle for ingesting, analyzing, fusing, and sharing data.
  • •Design governance, traceability, provenance, auditability, and data lineage mechanisms for data, models, and AI agents.
  • •Define security architectures for LLM, RAG, multi-agent systems, and Generative AI platforms, including controls that enable secure and explainable AI agent use.
  • •Design and oversee DevSecOps, MLOps, and LLMOps practices to ensure secure, reproducible deployments on Google Cloud; support validation, certification, accreditation, and operational demonstrations.

Pay and Benefits

Perks:Health InsuranceDentalLife Insurance

Key Requirements

  • •Bachelor’s degree in computer science, software engineering, information systems, data science, or a related field.
  • •More than 5 years of experience in security, cybersecurity, data governance, or critical platforms.
  • •Demonstrated experience in highly regulated environments such as defense, aerospace, national security, or C2/C4ISR systems.
  • •Expertise in Data Centric Security (DCS), ABAC, RBAC, Zero Trust, and governance of sensitive data.
  • •Experience with DevOps/DevSecOps/MLOps/LLMOps, including automation of deployments and model governance.
Experience:5+ yearsDefenseNational securityC2/C4ISRGenerative AIAI/ML
Education:Bachelor's
Skills:Technical leadershipCommunicationCollaborationLeadershipCuriosity
Certifications:CISSPTOGAFCISMCCSPGoogle Professional Cloud ArchitectGoogle Professional Cloud Security EngineerCertified AI Governance Professional (AIGP)
Languages:FrenchEnglish
Tech Stack:Google CloudKubernetesContainersGitOpsCI/CDObservabilityInfrastructure as Code (Terraform)Data Centric Security (DCS)Zero TrustABACRBACDevSecOpsMLOpsLLMOpsLLMRAGRetrieval-Augmented GenerationMulti-agent systemsAgentic AIGenerative AI

Eligibility

Security Clearance:Secret OTAN

Company Brief

Thales
Designs and delivers advanced systems and services for aerospace, defence, security, and digital identity and cybersecurity markets, serving government and commercial customers worldwide.
Industry: Defense Technology
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Paris, France
Founded: 2000
WebsiteLinkedIn