AI Security Specialist - Remote Role
Role details
Job location
Tech stack
Job description
Provide strategic advisory to executive leadership on the secure adoption and governance of Artificial Intelligence, including Generative AI. This role ensures AI initiatives are implemented responsibly, securely, and in alignment with regulatory, ethical, and operational standards while enabling innovation.
Guide leadership in evaluating AI use cases, identifying risk exposure, implementing governance frameworks, and establishing secure deployment practices across the enterprise.
Advise executive leadership on AI risk, governance, and security strategy
Establish AI governance policies aligned with frameworks such as NIST AI RMF, ISO 42001, OWASP LLM Top 10, and OECD principles
Oversee secure deployment of AI systems including model selection, sandbox testing, and production rollout controls
Evaluate AI initiatives through structured risk and compliance assessment methodologies
Develop governance questionnaires, audit controls, and approval workflows
Ensure safe usage of generative models, including prompt security, data protection, and monitoring
Assess and guide adoption of governance/security tools (e.g., OneTrust, JFrog, Lakera, Prompt Security platforms)
Requirements
15+ Years of Cybersecurity experience
3+ Years in AI Governance, Security for AI
Senior leadership experience in cybersecurity, risk, or AI governance
Understanding of generative AI architectures and deployment risks
Familiarity with AI governance frameworks and audit practices
Experience evaluating AI use cases and identifying operational/security risks
Ability to communicate technical risk insights to executive stakeholders
Collaborate with leadership, legal, compliance, and technology teams on AI strategy and risk posture
Benefits & conditions
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is ($80.00-$88.00/Hour). This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.