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Job Description

Secure AI is how we protect innovation. Join Moody’s Cybersecurity Engineering team in Charlotte, NC (onsite) to help safeguard the company’s AI and cloud ecosystems. In this role, you will define AI and model security architecture, translate AI risk into practical controls, and support resilient deployment and operations across the organization.

What you’ll do

  • Secure AI and model ecosystems by defining architecture, implementing controls, assessing risk, and supporting resilient deployment and operations.
  • Develop and maintain AI and model security architecture, standards, and a technical roadmap.
  • Implement security controls across the artificial intelligence and machine learning lifecycle.
  • Evaluate AI, ML, and large language model solutions for risks including 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.
  • Define 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.

What you bring

  • 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 AI and 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 convert strategic objectives and technical AI risks into implementable requirements, controls, and recommendations for varied stakeholders.
  • Hands-on capability with relevant scripting, automation, cloud, security, or machine-learning tools, with strong analytical, written, verbal, and cross-functional collaboration skills.
  • Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to support 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 building a culture of responsible AI adoption.

Technologies

  • Cloud-based solutions
  • Artificial intelligence
  • Machine learning
  • Model lifecycles
  • Application programming interfaces
  • Large language model technologies

Compensation and benefits

Salary: USD 116,500 - 192,300 per yearly.

  • Medical, dental, vision
  • Parental leave
  • Paid time off
  • 401(k) plan with employee and company contribution opportunities
  • Life, disability, and accident insurance
  • Discounted employee stock purchase plan
  • Tuition reimbursement
  • Incentive compensation

About the team

Moody’s Cybersecurity Engineering team safeguards Moody’s AI and cloud ecosystems by applying advanced security strategies and frameworks. You will play a key role in securing AI adoption across the enterprise, leveraging cloud capabilities while supporting compliance and ethical governance. This position focuses on leading AI security innovation and shaping the future of secure, AI-driven transformation.

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