Security Engineer

• Developing and implementing a small-scale AI PoC (e.g., simple report generation) using available internal datasets or synthetic data.
• Learning and applying secure coding principles, input validation, dependency management, and safe use of AI libraries.
• Exploring potential risks across the AI development pipeline, such as model input manipulation, insecure storage of models or data.
• Delivering a working AI PoC that demonstrates secure design choices (e.g., accurate access controls, validated inputs, logging/auditing).
• Detailing the project journey, including lessons learned, tools used, key secure development practices applied.

Cybersecurity Intern

• Design, configure, and maintain Workday Security roles, including domain security and business process security policies.
• Manage user roles, security groups, and access provisioning within Workday HCM.
• Translate business and security requirements into effective Workday security configurations.
• Support Workday Security implementation, enhancements, and ongoing maintenance activities.
• Conduct security audits, risk assessments, and access reviews to ensure compliance standards are met.
• Troubleshoot and resolve security-related issues and access concerns.
• Collaborate with functional and integration teams to ensure secure data flow across Workday modules.
• Support SOX compliance, internal controls, and audit requirements.
• Maintain security documentation, access matrices, and design specifications.
• Participate in SIT, UAT, and production validation for security-related changes.

Workday HCM Consultant, Security

• Pipeline Security: Designing and implementing protocols to secure model training and deployment pipelines against unauthorized access or tampering.
• Adversarial Defense: Proactively identifying and preventing adversarial attacks, including input manipulation, model inversion, and data poisoning.
• Intellectual Property & Privacy: Implementing advanced measures to protect sensitive dataset privacy and safeguard our proprietary model intellectual property.
• Threat Modeling & Red Teaming: Conducting AI-specific threat modeling and internal "red team" exercises to discover vulnerabilities before they can be exploited.
• Governance & Compliance: Ensuring all AI initiatives align with global security standards (e.g., ISO/IEC 42001, NIST AI RMF), ethical guidelines, and emerging AI governance frameworks.

AI Security Expert

• Assess information security risks in line with internal policy and external best practices
• Support security of information and IT assets by testing security systems and applying security standards, policies, and procedures
• Implement cyber security technology and provide day-to-day business support
• Manage third-party providers to ensure internal or third-party adhere to standards
• Provide information security training to appropriate teams

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Cybersecurity Intern

Workday HCM Consultant, Security

AI Security Expert

Security and Infrastructure Lead – MDS MSC