Sr Cybersecurity Engineer (AI Security)

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling 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 Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization Education Bachelor's 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 organization's AI and model security architecture, standards, and technical roadmap Identify and implement security controls throughout the artificial intelligence and machine learning lifecycle Assess artificial intelligence, machine learning, and large language model solutions for prompt injection, data leakage, model manipulation, adversarial inputs, insecure integrations, and unauthorized access Provide hands-on support for security testing, architecture reviews, threat modelling, control implementation, and incident investigation Establish secure configuration requirements for cloud-hosted AI services, machine learning platforms, pipelines, application programming interfaces, and containers Partner with engineering teams to integrate security controls into development, development security operations, and deployment processes Develop monitoring approaches for model behaviour, misuse, data exposure, configuration drift, and emerging threats Contribute to AI governance, risk assessments, exception management, incident response, and compliance activities About the Team Our Cybersecurity Engineering team is responsible for safeguarding Moody's AI and cloud ecosystems by implementing cutting-edge security strategies and frameworks. By joining our team,