Senior Security Engineer - AI Focus

Accountabilities

• Assess, identify, and mitigate security risks associated with AI/ML systems, including model integrity, data poisoning, prompt injection, adversarial attacks, and emerging agentic AI threats.
• Design, implement, and maintain security processes, tooling, and automation across AI/ML development pipelines and supporting infrastructure.
• Define and enforce secure AI development and delivery practices throughout the software development lifecycle.
• Evaluate and secure agentic AI environments, including autonomous agents, multi-agent architectures, tool-use frameworks, orchestration layers, memory systems, and autonomous decision-making workflows.
• Apply established security engineering principles across cloud-native, microservice, serverless, and modern application architectures.
• Champion continuous security and compliance practices across AI/ML environments and development operations.
• Contribute to AI governance initiatives, including security policies, risk assessments, responsible AI frameworks, and controls aligned with regulatory and industry standards.
• Partner with engineering, architecture, product, platform, DevOps, and IT stakeholders to embed effective AI security controls into existing workflows.
• Lead AI security initiatives and projects from initial concept and risk assessment through implementation, delivery, and ongoing improvement.
• Develop and maintain clear technical documentation covering AI systems, models, architectures, security controls, and operational practices.
• Support security compliance activities, audits, technical assessments, and incident response efforts relevant to AI/ML environments.
• Identify opportunities to strengthen security automation and use AI-enabled approaches to improve security engineering effectiveness.

Requirements

• 7–10+ years of hands-on experience in security architecture and engineering within an agile SaaS or software development environment.
• Proven experience leading cross-functional security initiatives and influencing engineering teams toward stronger security practices.
• Strong foundation in application security (AppSec), security architecture, cloud security, and modern software development practices.
• Hands-on experience securing microservice, cloud-native, and serverless application architectures.
• Strong experience with GitOps implementation, security, and operational use.
• Demonstrated ability to develop security tooling and automation as software.
• Experience implementing continuous security and compliance practices across development environments.
• Recent hands-on exposure to securing AI/ML environments and understanding of their unique security challenges.
• Working knowledge of AI/ML security frameworks and standards such as OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and the EU AI Act.
• Understanding of agentic AI architectures and associated risks, including autonomous agents, tool orchestration, memory systems, and multi-agent coordination.
• Strong analytical and problem-solving abilities, with the judgment to assess emerging threats and translate them into practical security controls.
• Strong communication and collaboration skills, with the ability to work effectively across technical and non-technical teams.
• Experience with LLM security, model red-teaming, or AI threat modeling is preferred.
• Hands-on experience securing agentic AI frameworks such as LangChain, AutoGen, CrewAI, or similar technologies is an advantage.
• Experience contributing to AI governance programs, risk registers, responsible AI policies, or AI security incident response is advantageous.
• Familiarity with AI governance principles such as transparency, explainability, fairness and bias considerations, and data lineage is a plus.
• Relevant certifications such as CISSP, CCSP, CSSLP, ISSAP, ISSEP, or AI security-focused credentials are considered an asset.

Benefits

• Fully remote position within Canada, with preference for candidates working in the Eastern Time Zone.
• Competitive salary and compensation package.
• Comprehensive health and dental benefits.
• Flexible workday designed to accommodate different working styles and role requirements.
• Additional wellness days, including extra days off around long weekends.
• Opportunities for professional development and continuous learning.
• Supportive environment that encourages experimentation with emerging technologies and responsible AI adoption.
• Opportunities to work on cutting-edge AI/ML security challenges and shape security practices for emerging technologies.
• Cross-functional collaboration with Architecture, Product, Platform, DevOps, IT, and other technical teams.
• Community engagement initiatives supporting opportunities to contribute time, skills, and resources to local communities.
• Culture and employee engagement initiatives, including events and activities throughout the year.
• An inclusive and accessible workplace with accommodations available throughout the recruitment and interview process.