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Thales

Global defense and aerospace electronics

Data Security Architect - Generative and Agentic AI

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeQuébec City, QC, CanadaNo salary listed

About the Job

Requirements

  • A bachelor's degree in computer science, software engineering, information systems, data science, or a related field is required.
  • More than five years of experience in security, cybersecurity, data governance, or critical platforms is required.
  • Demonstrated experience in highly regulated environments such as defense, aerospace, national security, or C2/C4ISR systems is required.
  • Expertise in Data Centric Security (DCS), attribute-based access control (ABAC), role-based access control (RBAC), Zero Trust architectures, and sensitive-data governance is required.
  • Applied enterprise experience implementing and maintaining data security policies on cloud or private platforms is required.
  • Experience developing and managing enterprise data flows across diverse sources, databases, data lakes, services, and systems is required.
  • Proficiency in DevOps, DevSecOps, MLOps, and LLMOps practices, including deployment automation and model governance, is required.
  • Expertise in Kubernetes, containers, GitOps, CI/CD, observability, and Infrastructure as Code using Terraform is required.
  • Experience designing solutions that ensure traceability, auditability, compliance, and lifecycle tracking for data and models is required.
  • Technical leadership, communication, and collaboration skills for working with multidisciplinary teams and industry partners are required.
  • Intellectual curiosity and a strong interest in emerging technologies are required.
  • The ability to balance innovation, technical feasibility, and business value pragmatically is required.
  • Fluency in spoken and written French and English is required; English is needed to interact with, support, or provide services to international clients, employees, partners, and foreign government authorities who do not speak French.
  • The role may require setting up equipment and conducting experiments outdoors in field environments.
  • Candidates must be eligible or able to obtain authorization for access to controlled goods and technical information, including eligibility for the Canadian Controlled Goods Program and the ability to obtain a Canadian NATO Secret clearance.

Responsibilities

  • Define the data and operations security architecture for data-fusion, Generative AI, and Agentic AI platforms.
  • Design and enforce Data Centric Security (DCS), Zero Trust, and Security by Design principles throughout the data lifecycle.
  • Ensure compliance policies are applied during ingestion, analysis, fusion, and sharing of multi-source 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.
  • Establish security controls and guardrails for safe and explainable use of AI agents in critical environments.
  • Lead risk management, threat assessment, and compliance activities for AI/ML and cloud solutions.
  • Design and oversee DevSecOps, MLOps, and LLMOps practices to ensure secure and reproducible deployments.
  • Collaborate with product, data, AI, cybersecurity, and operations teams to integrate security requirements from the design stage.
  • Support validation, certification, accreditation, and operational demonstration activities with internal and external stakeholders.
  • Contribute to the design, development, and production deployment of intelligent platforms and applications integrating language models, multi-agent architectures, RAG engines, orchestration tools, and next-generation cloud services.

Desired Qualifications

  • Experience developing or integrating autonomous multi-agent systems in operational environments.
  • Experience with and in-depth knowledge of relevant STANAG and ACP standards.
  • Experience involving AI, LLMs, AI agents, or open-source models in secure environments.
  • Knowledge of AI-related security risks and controls, including prompt injection, data poisoning, model leakage, agent security, and AI governance.
  • Knowledge of AI governance and cybersecurity frameworks and standards.
  • Experience developing and managing complex data flows involving transformation and aggregation of structured and unstructured data using traditional and AI/ML methods.
  • Experience accrediting, certifying, or validating critical systems, including producing audit, compliance, and security evidence for government or military clients.
  • Recognized certifications such as CISSP, TOGAF, CISM, CCSP, Google Professional Cloud Architect, Google Professional Cloud Security Engineer, or Certified AI Governance Professional (AIGP).
  • Knowledge of the defense domain, military intelligence, or the Canadian Armed Forces context.

About the Company

Thales

Global defense and aerospace electronics

Thales designs and delivers critical technology for aerospace, defense, and digital security. Its products include electronics, software, and data-security systems that power air travel, payments, and modern military platforms, by integrating hardware and software to build systems such as avionics, radar, cybersecurity, and secure communications that collect sensor data and protect networks. It stands out through deep industrial experience, end-to-end solutions across defense, aerospace, and cybersecurity, and a focus on AI and quantum tech, aided by strategic acquisitions and partial state ownership. Its goal is to provide reliable, secure, and connected technologies that support national security, public safety, and everyday life by solving complex security and connectivity challenges.

Company size
10,001+
Company stage
IPO
Headquarters
Meudon, France
Founded
1893

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