Senior Cloud Security Developer at Nasdaq Verafin securing cloud applications and systems. Collaborate across teams to ensure robust protection in AWS cloud environment.
About the role
- AI Security Researcher leading threat research and vulnerability assessment in AI/ML security at RBC. Collaborating with business units and vendors to implement practical mitigations.
Responsibilities
- Monitor, analyze, and assess emerging AI security threats, vulnerabilities, and attack vectors relevant to RBC's environment and the broader financial services sector
- Research AI-specific attack vectors including prompt injection, jailbreaking, model poisoning, data poisoning, model theft, supply-chain attacks, and adversarial evasion techniques
- Assess risks from AI-enabled threats such as social engineering, synthetic media (deepfakes), and automated attack systems targeting RBC's infrastructure, data, and customers
- Conduct threat landscape assessments specific to RBC's AI technology stack, competitive position, and risk appetite
- Execute hands-on testing of critical AI applications, including prompt injection, jailbreaking, and adversarial attack simulations to validate security posture
- Design and implement consistent, scalable assessment frameworks and methodologies to standardize AI security evaluations across RBC's critical applications
- Develop proof-of-concept exploits and validation controls to demonstrate attack feasibility and test mitigation effectiveness
- Collaborate with AI/ML/DevOps teams, AI security engineers, and third-party vendors to design practical defense strategies and controls
- Produce high-impact technical outputs including deep-dive threat analyses, research reports, and whitepapers for internal and external audiences
- Partner with third-party AI security technology providers to influence product roadmaps and industry standards
- Stay current with evolving AI security threats, defensive capabilities, and industry best practices
- Contribute to RBC's AI Security research strategy and roadmap
Requirements
- 5+ years of experience in security research and vulnerability research
- 2+ years of experience researching AI/ML security threats, attack vectors, or related domains
- Strong coding experience in one or more general-purpose languages: Python, Go, Java, or similar
- Understanding of AI/ML systems, architectures, and operational patterns
- Excellent organizational, communication, interpersonal, and technical writing skills
- Proven ability to influence technical strategy and security decision-making
- Published research, conference presentations, or open-source contributions in AI security preferred
- Experience with large language models and generative AI applications preferred
- Experience collaborating with vendors and external security researchers preferred
Benefits
- A comprehensive Total Rewards Program including bonuses and flexible benefits
- Leaders who support your development through coaching and managing opportunities
- Ability to make a difference and lasting impact
- Work in a dynamic, collaborative, progressive, and high-performing team
- Access to a variety of job opportunities across business and geographies
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