Let's begin! Sr Cybersecurity Engineer- AI and Model Security

At Moodys we unite the brightest minds to turn todays risks into tomorrows opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they arewith the freedom to exchange ideas think innovatively and listen to each other and customers in meaningful ways. Moodys is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment were advancing AI to move from insight to actionenabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity helping our clients navigate uncertainty with clarity speed and confidence.

If you are excited about this opportunity but do not meet every single requirement please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship lead with curiosity champion diverse perspectives turn inputs into actions and uphold trust through integrity.

Skills and Competencies

• 4 years of experience in a technical engineering architecture cybersecurity or related role
• Demonstrated ability to design secure or operate cloud-based solutions including experience with at least one major cloud platform and its configuration-management capabilities
• Working knowledge of artificial intelligence machine learning concepts model lifecycles application programming interfaces and large language model technologies
• Experience conducting security architecture reviews threat modelling technical risk assessments or security testing
• Ability to translate strategic objectives and technical AI risks into implementable requirements controls and practical recommendations for varied stakeholders
• Hands-on capability with relevant scripting automation cloud security or machine-learning tools supported by strong analytical written verbal and cross-functional collaboration skills

Education

• Bachelors degree in computer science information systems engineering or an equivalent technical discipline or combination of education and relevant experience

Responsibilities

Secure AI and model ecosystems by defining architecture implementing controls assessing risk and supporting resilient deployment and operations.

• Develop and maintain the organizations AI and model security architecture standards roadmap and governance framework.
• Design implement and integrate security controls across the AI/ML lifecycle including development DevSecOps deployment and operations.
• Assess AI/ML and LLM solutions for risks such as prompt injection data leakage adversarial attacks model manipulation insecure integrations and unauthorized access.
• Conduct security testing architecture reviews threat modeling control validation and incident investigations for AI systems.
• Define and enforce secure configuration and security requirements for AI platforms models datasets APIs cloud services containers and third-party providers.
• Support the selection deployment configuration lifecycle management and oversight of enterprise AI models LLMs and related platforms including inventories ownership approved uses and controls.
• Establish monitoring capabilities to detect model misuse abnormal behavior data exposure configuration drift and emerging threats.
• Translate AI security risks into actionable recommendations contribute to risk assessments and compliance activities and stay current with evolving threats regulations frameworks and industry best practices.

About the team

Our Cybersecurity Engineering team is responsible for safeguarding Moodys AI and cloud ecosystems by implementing cutting-edge security strategies and frameworks. By joining our team you will contribute to securing AI adoption across the enterprise leveraging Microsoft Azures advanced capabilities while ensuring compliance and ethical governance. This is an exciting opportunity to lead innovation in AI security and shape the future of secure AI-driven transformation.

Moodys is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion sex national origin disability protected veteran status sexual orientation gender expression gender identity or any other characteristic protected by law.

Candidates for Moodys Corporation may be asked to disclose securities holdings pursuant to Moodys Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy including remediation of positions in those holdings as necessary.