Senior Security Engineer - AI Focus

Job description

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. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Security Engineer - AI Focus based in United States . This is a senior security engineering opportunity for an experienced professional looking to apply deep cybersecurity expertise to the rapidly evolving world of AI and machine learning.You will help secure AI/ML systems, infrastructure, development pipelines, and emerging agentic architectures against sophisticated and evolving threats.The role combines hands-on security engineering, automation, architecture, compliance, and AI governance across the development lifecycle.You will work closely with Architecture, Product Development, Platform, DevOps, and IT teams to embed security into how AI-enabled products are designed and delivered.The position offers significant ownership, from identifying emerging risks and designing controls to implementing solutions and driving projects through completion.You will also contribute to responsible AI practices and help establish security standards for technologies that are changing rapidly.This is a fully remote position in Canada, with preference for candidates working in the Eastern Time Zone.