The OpportunityWe're looking for a seasoned Security Engineer who has started applying that expertise to AI/ML systems. This role is a natural next step for someone who knows the security fundamentals inside and out and is now getting hands-on with the unique threat landscape that comes with AI — prompt injection, model integrity, agentic pipelines, and the rest. You don't need to have spent years in a dedicated AI security role; what matters is that you've got the security depth and the curiosity to learn fast in a space that's evolving quickly.Working under the Director of Security Engineering & Operations, you'll drive security implementation, automation, and compliance across our AI/ML development lifecycle — collaborating closely with Architecture, Product Development, Platform, DevOps, and IT.What You'll DoAssess and mitigate security risks specific to AI/ML systems — including model integrity, data poisoning, prompt injection, adversarial attacks, and agentic AI threat vectorsImplement and maintain security processes, tooling, and automation across AI/ML pipelines and infrastructureDefine and enforce secure AI development and delivery practices across the SDLCEvaluate and help secure agentic AI systems, including multi-agent architectures, tool-use frameworks, and autonomous decision‐making pipelinesContribute to AI governance initiatives, including policy development, risk assessments, and responsible AI frameworks aligned with regulatory and industry standardsPartner cross-functionally to embed AI security controls across engineering and operations teamsOwn AI security projects end-to-end, from conception through deliveryDevelop and maintain technical security documentation for AI systems and modelsSupport compliance initiatives, audits,



and technical assessments relevant to AI/ML environmentsWhat You'll BringRequiredMinimum 7-10 years of experience in a hands-on security architecture and engineering role in an agile SaaS development organizationProven success driving cross-functional security initiatives in an agile SaaS development organizationSolid foundation and experience in AppSec core domainsDirect, hands‐on, end to end, experience with the followingSecurity architecture and implementation in context of microservice, cloud‐native, and serverless application architecturesGitOps implementation, security, and utilizationSecurity tooling and automation development, as softwareContinuous security and complianceRecent hands‐on exposure to securing AI/ML environmentsWorking familiarity with AI/ML security risks and frameworks — OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, EU AI Act. You don't need to have lived in these for years; you need to understand what they're solving forAwareness of agentic AI architectures and the risks that come with them — autonomous agents, tool orchestration, memory systems, multi‐agent coordinationPreferredWe know AI security is a current discipline. These aren't screens — they're signals of someone who's been leaning into this space.Direct experience with LLM security, model red‐teaming, or AI threat modelingHands‐on work securing agentic AI systems (e.G., LangChain, AutoGen, CrewAI, or similar frameworks)Experience contributing to or implementing AI governance programs, risk registers, or responsible AI policiesExperience with security incident response in AI/ML environmentswith AI/ML workloadsFamiliarity with AI governance principles: model transparency, explainability, bias/fairness considerations, and data lineageRelevant certifications, e.G. ISC2 (AI Security, CISSP, CCSP, CSSLP, ISSAP, ISSEP)LocationThis position will

📌 Senior Security Engineer - Ai Focus (Oakville)
🏢 Euna Solutions
📍 Oakville