AI Security Architect

AI Security Architect focuses on experience with: mlops platforms (e.g., mlflow, kubeflow) ai red teaming and adversarial testing.

Skills and requirements

• Experience with: MLOps platforms (e.g., MLflow, Kubeflow) AI red teaming and adversarial testing.

Confirmed role details

• Lead the AI security architecture roadmap aligned to enterprise security strategy.
• Develop secure-by-design frameworks for AI/ML pipelines, including data ingestion, training, inference, and deployment.
• Define and implement risk mitigation strategies and controls.
• Ensure compliance with data protection regulations (e.g., GDPR, HIPAA where applicable).

Additional role context

• As a $30+ billion business and technology services, AI and digital infrastructure leader, we co-innovate solutions with clients and partners globally for business and societal impa.
• Serving 75% of the Fortune Global 100, with experts in over 70 countries, we encourage experimentation and recognize great work.
• Proudly a Global Top Employer, NTT DATA is part of NTT Group, which invests over $3 billion annually in R&D.