Generative AI Engineer
- Toronto, ON, Canada
Full-time
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- Full-time
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- Posting language
- English
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Original job description
Key Responsibilities• Lead end-to-end AI Security Assessment engagements, including planning, execution, reporting, and stakeholder management.• Conduct AI/GenAI security, governance, risk, and compliance assessments.• Facilitate discovery workshops and interviews with security, technology, data, risk, and business stakeholders.• Assess AI platforms, LLM applications, model lifecycle controls, and supporting cloud infrastructure.• Perform AI threat modeling and identify risks such as prompt injection, data leakage, model abuse, and supply chain vulnerabilities.• Evaluate controls against NIST AI RMF, ISO 42001, OWASP LLM Top 10, and organizational security requirements.• Develop gap analyses, risk ratings, remediation recommendations, and maturity assessments.• Create executive-ready assessment reports, roadmaps, and presentation materials.• Provide strategic guidance on secure AI adoption, governance, and operationalization.• Manage project governance, timelines, risks, issues, and customer communications.Technical Skills• AI Security and Generative AI Security• Large Language Models (LLMs) and AI/ML Security• AI Governance and Responsible AI• NIST AI RMF, MITRE ATLAS and AI Threat Modeling• Microsoft Copilot and Azure OpenAI Security• Security Compliance and Regulatory Frameworks• Stakeholder Management and Workshop FacilitationExperience• 8+ years in Cybersecurity delivery.• Experience leading enterprise security assessments and advisory engagements.• Hands-on experience with AI/GenAI, cloud security, and governance frameworks.• Strong executive communication and client-facing consulting skills.
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Responsibilities
Lead end-to-end AI security assessment and advisory engagements, including stakeholder workshops, threat modeling, control evaluations, risk analysis, and project governance. Produce executive-ready reports and remediation roadmaps, and advise clients on secure AI adoption, governance, and operationalization.
Requirements
Requires 8 or more years of cybersecurity delivery experience, including leadership of enterprise security assessments and advisory engagements. Candidates should have hands-on experience with AI/GenAI, cloud security, and governance frameworks, along with strong executive communication and client-facing consulting skills.
Skills
- AI Security
- Generative AI Security
- Large Language Models
- AI/ML Security
- AI Governance
- Responsible AI
- NIST AI RMF
- MITRE ATLAS
- AI Threat Modeling
- Microsoft Copilot
- Azure OpenAI Security
- Cloud Security
- Security Compliance
- Stakeholder Management
- Workshop Facilitation
- Executive Communication
Visa sponsorship
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Categories
- Security & Safety
- Technology
- Consulting
- Management & Leadership
Keywords
- AI Security Assessment
- Generative AI
- Large Language Models
- AI/ML Security
- AI Governance
- Responsible AI
- NIST AI RMF
- ISO 42001
- OWASP LLM Top 10
- MITRE ATLAS
- AI Threat Modeling
- Prompt Injection
- Data Leakage
- Model Abuse
- Supply Chain Vulnerabilities
- Microsoft Copilot
- Azure OpenAI
- Cloud Infrastructure
- Security Compliance
- Risk Assessment
- Gap Analysis
- Maturity Assessment
- Remediation Roadmaps
- Stakeholder Management
- Workshop Facilitation
- Project Governance
- Cybersecurity Consulting