AI Security Engineer

Location Ottawa, Canada - Hybrid Other Canadian locations - Remote About the role The AI Security Engineer is a hands‑on security specialist responsible for designing, implementing, and operating security controls for AI‑enabled systems across Corporate IT and the Kinaxis Maestro SaaS ecosystem. You will serve as a recognized subject matter expert in AI security, defining AI security design considerations, risk assessment recommendations, and control implementation. In this role, you will act as an escalation point for complex AI security events and misuse scenarios, lead AI threat modeling and adversarial testing efforts, and drive measurable improvements in AI detection, prevention, and monitoring capabilities.

You will also contribute to the maturation of AI security frameworks, governance, and operational practices, and provide technical mentorship to teams building and operating AI‑enabled solutions. What you will do Security Architecture & Control Design – Design and implement end‑to‑end security guardrails across the AI lifecycle (data ingestion, training, evaluation, deployment, runtime monitoring), develop secure‑by‑default patterns for AI‑enabled applications, implement controls for agentic workflows, and define and enforce secure configuration baselines for AI services such as cloud AI platforms, model gateways, vector databases, and model runtimes. AI Threat Modeling & Risk Assessment – Lead AI security design reviews, conduct threat modeling and risk assessments for AI‑enabled systems, identify AI‑specific risks and translate findings into prioritized mitigation plans, updated standards, and actionable engineering guidance, and monitor emerging AI threats, vulnerabilities, and research to incorporate relevant insights into security practices, documentation, and team enablement.

Red Teaming & Adversarial Testing – Plan and execute targeted adversarial testing against AI‑enabled applications and workflows, develop repeatable test cases to evaluate resistance against misuse, data leakage, and unsafe output, and partner with internal offensive security teams and external assessors to validate resilience before launch and during major changes. AI Security Tooling, Telemetry & Monitoring – Evaluate, deploy, and operate AI security controls, define logging and telemetry requirements for AI‑enabled systems, and ensure AI security events are integrated into centralized monitoring and response workflows. AI Security Governance & Collaboration – Serve as a subject‑matter expert for AI security, advising product and engineering teams on secure design choices and risk trade‑offs, contribute to the evolution of AI security standards and governance practices, collaborate with engineering leaders to embed AI security requirements into CI/CD and MLOps pipelines aligned with secure SDLC practices, and serve as an escalation point for complex AI security investigations and abuse scenarios.

What we are looking for Primary Skills and Qualifications Bachelor’s degree in Information Security, Computer Science, Engineering or equivalent practical experience. 6–8 years of experience in security engineering, application security, cloud security, or security architecture, including hands‑on work securing production systems. Strong understanding of secure software development practices and modern cloud platforms. Demonstrated experience securing production AI‑enabled systems.

Excellent written and verbal communication skills, with the ability to clearly articulate complex technical information. Strong analytical, communication, and prioritization skills in fast‑moving environments. Commitment to continuous learning.

Certifications – Preferred: CISSP. Desirable: CAISP, CSSLP, SABSA, Cloud Provider Security Certifications, NIST AI RMF Training or ISO/IEC 42001 Lead Implementer. Role Specific Skills and experience Deep understanding of LLMs, agents, RAG pipelines, model serving, and MLOps.

Strong grasp of AI‑specific threats (prompt injection, jailbreaks, model inversion, poisoning, data leakage). Experience deploying AI security defenses (LLM firewalls, policy engines, input/output validation, DLP, monitoring). Experience building secure‑by‑design patterns and defense‑in‑depth for AI systems.

Ability to define telemetry, logging, and detection strategies for AI systems. Ability to design and implement security controls across AI tools, platforms, and delivery pipelines. Hands‑on experience performing AI/ML threat modeling.

Ability to translate AI risks into actionable controls and engineering requirements. Experience testing AI systems against adversarial attacks and abuse scenarios. Benefits Flexible vacation and Kinaxis Days (company‑wide days off).

Flexible work options. Physical and mental well‑being programs. Regularly scheduled virtual fitness classes.

Mentorship programs, training, and career development. Recognition programs and referral rewards. Hackathons.

Kinaxis welcomes candidates to apply to our inclusive community. We provide accommodations upon request to ensure fairness and accessibility throughout our recruitment process for all candidates, including those with specific needs or disabilities. If you require an accommodation, please reach out to us at recruitmentprograms@kinaxis.com.

This contact information is for accessibility requests only and cannot be used to inquire about the status of applications. Kinaxis is committed to ensuring a fair and transparent recruitment process. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the job description to identify candidates whose education, experience, and skills most closely match the requirements of the role.

After the initial screening, all subsequent decisions regarding your application, including final selection, are made by our human recruitment team. AI does not make any final hiring decisions. #J-18808-Ljbffr