GenAI & Agentic AI Data Security Architect

Thales Canada; Quebec; Hybrid; CAD 120,000 - 200,000; Full time

Benefits offered by this job

Extended Health

Dental

RRSP match

Paid holidays

Job summary

Thales Canada in Quebec City is seeking a Generative and Agentic AI Data Security Architect to define and govern data and operations security for next-generation AI platforms, including GenAI and multi-agent systems, in defense-related contexts.

Work with data, AI, cybersecurity, and DevOps teams on Google Cloud, implement DCS, Zero Trust, and auditability, and contribute to secure, reproducible deployments across the data lifecycle.

Qualifications

• Bachelor's degree in computer science, software engineering, information systems, data science, or a related field.
• 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), ABAC/RBAC, Zero Trust architectures, and sensitive data governance.
• Strong enterprise experience in implementing and maintaining data security policies on cloud or private platforms.

Responsibilities

• Define data and operations security architecture for data fusion, Generative AI, and Agentic AI platforms.
• Design and enforce DCS, Zero Trust, and Security by Design principles across the data lifecycle.
• Ensure compliance policies during ingestion, analysis, fusion, and sharing of multi-source data.
• Design governance, 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 enabling 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 for secure deployments.
• Collaborate with product, data, AI, cybersecurity, and operations teams to integrate security requirements from design.
• Support validation, certification, accreditation, and operational demonstration activities.

Skills

Security architecture

Zero Trust

DCS

ABAC/RBAC

DevSecOps

MLOps/LLMOps

Google Cloud

Kubernetes

CI/CD

Education

Bachelor's degree in CS/Engineering/IS/Data Science

Tools

Kubernetes

Terraform

GitOps

CI/CD

Google Cloud

Job description

Thales Canada in Quebec City is seeking a Generative and Agentic AI Data Security Architect to define and govern data and operations security for next-generation AI platforms, including GenAI and multi-agent systems, in defense-related contexts.

Work with data, AI, cybersecurity, and DevOps teams on Google Cloud, implement DCS, Zero Trust, and auditability, and contribute to secure, reproducible deployments across the data lifecycle.