Sr Cybersecurity Engineer- AI and Model Security

Moody; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Moody's is seeking a Sr Cybersecurity Engineer focusing on AI and model security in Bengaluru. You will help secure AI ecosystems, define architecture, implement controls across the AI/ML lifecycle, and assess risks such as prompt injection and data leakage.

The role requires translating strategic AI risks into actionable requirements for diverse stakeholders. You will collaborate with cross-functional teams to ensure secure deployment, governance, and ongoing monitoring of enterprise AI models,

Qualifications

• 4+ years in technical cybersecurity or related roles.
• Experience securing cloud-based solutions and platforms.
• Familiarity with AI/ML concepts and model lifecycles.

Responsibilities

• Develop and secure AI/model security architecture and governance.
• Design and implement security controls across AI/ML lifecycle.
• Assess risks: prompt injection, data leakage, adversarial threats.
• Conduct security testing, threat modeling, control validation.
• Define secure configurations for AI platforms, APIs, clouds, containers.
• Support deployment, lifecycle management, and oversight of AI models.

Skills

Cloud security

AI/ML security

Threat modelling

Security testing

Security architecture

Scripting/Automation

Education

Bachelor’s degree in CS/IS/Engineering

Tools

Azure

Job description

Let's begin! Sr Cybersecurity Engineer- AI and Model Security (15261)

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.

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

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, 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 Moody’s 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 Azure’s 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.

Moody’s 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 Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s 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.