Generative and Agentic AI Data Security Architect

Generative and Agentic AI Data Security Architect

Quebec City, QC (Hybrid) Full time

Job Summary

Our team conducts research and development (R&D) work to meet the needs of the Department of National Defence (DND) and the Canadian Armed Forces (CAF). The projects focus on innovative digital solutions combining software development, systems integration, modern infrastructure, and generative artificial intelligence.

As part of accelerating our artificial intelligence initiatives, we want to develop a new generation of applications based on Agentic AI. These solutions go beyond traditional conversational assistants by allowing intelligent agents to analyze data, reason, make decisions, orchestrate complex workflows, and interact with multiple enterprise systems autonomously and securely.

We are looking for someone to fill a Generative and Agentic AI Data Security Architect role to join our team in Quebec, specializing in knowledge management. Our multidisciplinary team focuses on data collection, transformation, and enrichment. Our projects involve defining and deploying automated processing chains to make data accessible to users. With the support of our data scientists, the team designs, trains, and integrates artificial intelligence models, including Generative AI (GenAI) based on Large Language Models (LLMs), to improve data analysis. Our team also uses AI and machine learning (ML) concepts to increase analysis efficiency.

Essential Functions

The incumbent of the C2 Data Security Architect position is responsible for defining, implementing, and governing the data and operations security architecture for next-generation data fusion and artificial intelligence solutions in the context of a C2IS (Command and Control Information System). In collaboration with data, AI, cybersecurity, and development teams, this person will ensure the application of Data Centric Security (DCS) principles, the securing of Generative AI and Agentic AI platforms, and the implementation of robust compliance, auditability, and traceability mechanisms. They will also contribute to the evolution of DevSecOps, MLOps, and LLMOps practices on Google Cloud to ensure the secure, reliable, and operational deployment of critical AI capabilities in defense and national security environments.

The incumbent of the Generative and Agentic AI Data Security Architect position will play a key role in the design, development, and production release of intelligent platforms and applications integrating language models (LLMs), multi-agent architectures, RAG (Retrieval-Augmented Generation) engines, orchestration tools, and next-generation cloud services. The person occupying this position will contribute to strategic projects aimed at improving operational efficiency, decision support, and the automation of complex processes in environments where security, reliability, and traceability are essential. This person must be autonomous, curious, and comfortable in an R&D context where needs evolve rapidly. They will work with architects, developers, and artificial intelligence specialists to transform technical concepts into concrete, demonstrable, and scalable solutions.

This person is part of a multidisciplinary team. A strong team spirit and teamwork capabilities are mandatory. The ideal person is therefore able to demonstrate cross-functional skills that would facilitate the transfer of work done to all stakeholders involved. Therefore, good communication skills are required.

Responsibilities of the Generative and Agentic AI Data Security Architect:

• Define 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 across the entire data lifecycle.
• Ensure the application of compliance policies during the 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 solutions, RAG, multi-agent systems, and generative AI platforms.
• Establish security controls and guardrails enabling the 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 ensuring secure and reproducible deployments.
• Collaborate with product, data, AI, cybersecurity, and operations teams to integrate security requirements from design.
• Support validation, certification, accreditation, and operational demonstration activities with internal and external stakeholders.

Minimum Requirements

• Bachelor's degree in computer science, software engineering, information systems, data science, or a related field.
• More than 5 years of experience related to 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), Attribute-Based Access Control (ABAC), Role-Based Access Control (RBAC), Zero Trust architectures, and sensitive data governance.
• Applied enterprise experience in implementing and maintaining data security policies on cloud or private platforms.
• Experience in the development and management of enterprise data flows, involving various sources, databases and/or data lakes, services, and systems.
• Mastery of DevOps, DevSecOps, MLOps, and LLMOps practices, including deployment automation and model governance.
• Expertise in Kubernetes, containers, GitOps, CI/CD, observability, and Infrastructure as Code (Terraform).
• Experience in designing solutions ensuring traceability, auditability, compliance, and lifecycle tracking of data and models.
• Excellent technical leadership, communication, and collaboration capabilities with multidisciplinary teams and industrial partners.
• Intellectual curiosity and a strong interest in emerging technologies.
• Pragmatic, capable of balancing innovation, technical feasibility, and business value.
• Fluency in French and English (spoken and written).

This position requires a good knowledge of English to interact with, support, and/or provide services to international clients, employees, and/or partners as well as foreign government authorities who do not speak French.

Desirable Qualifications

• Experience with the development or integration of autonomous multi-agent systems in operational environments.
• Experience and in-depth knowledge of STANAG and ACP standards associated with the subject.
• Experience involving AI, the use of LLMs or AI Agents, or the exploitation of open source models in secure environments.
• Mastery of risks and security controls related to AI (Prompt Injection, Data Poisoning, Model Leakage, Agent Security, AI Governance).
• Knowledge of AI governance and cybersecurity frameworks and standards.
• Experience in the development and management of complex data flows involving transformation and aggregation of structured and unstructured data, based on traditional methods and AI/ML.
• Experience in accreditation, certification, or validation of critical systems, including the production of 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, military intelligence, or Canadian Armed Forces context.

Physical Requirements

This position may require the employee to set up equipment and conduct field experiments in an outdoor environment.

This position requires direct or indirect access to hardware, software or technical information controlled under the Canadian Export Control List, the Canadian Controlled Goods Program, the Canadian Industrial Security Program, the US International Traffic in Arms Regulations (ITAR) and/or the US Export Administration Regulations (EAR). All applicants must be eligible or able to obtain authorization for such access including eligibility to the Canadian Controlled Goods Program and able to obtain a Canadian NATO Secret clearance.

Thales provides an extensive benefits program for all full-time employees working 24 or more hours per week and their eligible dependents, including the following:

• Company paid Extended Health, Dental, HSA, Life, AD&D, Short-term Disability, travel insurance, Employee Assistance Plan and Well-Being program.
• Retirement Savings Plans (RRSP, DCPP, TFSA) with a company contribution and a match to a DCPP, with no vesting period.
• Company paid holidays, vacation days, and paid sick leave.
• Voluntary Life, AD&D, Critical Illness, Long-Term Disability.
• Employee Discounts on insurance (home, and auto).

Thales is an equal opportunity employer which values diversity and inclusivity in the workplace. Thales is committed to providing accommodations in all parts of the interview process. Applicants selected for an interview who require accommodation are asked to advise accordingly upon the invitation for an interview. We will work with you to meet your needs. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.

This position requires direct or indirect access to hardware, software or technical information controlled under the Canadian Export Control List, the Canadian Controlled Goods Program, the Canadian Industrial Security Program, the US International Traffic in Arms Regulations (ITAR) and/or the US Export Administration Regulations (EAR). All applicants must be eligible or able to obtain authorization for such access including eligibility to the Canadian Controlled Goods Program and able to obtain a Canadian NATO Secret clearance.