Deloitte—T&T | Cyber: CST | Assistant Manager | AI Security | Delhi |

Job description

Description: T&T | Cyber: CST | Assistant Manager | AI Security | Delhi | • Job requisition ID : 101711 • Location: Delhi • Entity: Deloitte Touche Tohmatsu India LLP The Team  Deloitte helps organizations prevent cyberattacks and protect valuable assets. We believe in being secure, vigilant, and resilient—not only by looking at how to prevent and respond to attacks, but at how to manage cyber risk in a way that allows you to unleash new opportunities. Embed cyber risk at the start of strategy development for more effective management of information and technology risks. Learn more about Cybersecurity Your Work Profile - AI Security Risk Assessments: Conduct comprehensive security and governance assessments of AI systems, ML models, and data pipelines to identify risks related to model integrity, bias, explainability, data leakage, and adversarial attacks. - AI Governance Framework Development: Contribute to the design and implementation of AI governance frameworks aligned with leading standards (ISO/IEC 42001, NIST AI Risk Management Framework, EU AI Act, OECD AI Principles). - Security & Compliance Evaluations: Evaluate the design and effectiveness of controls across AI lifecycle stages — data ingestion, model training, deployment, and monitoring — in alignment with ISMS, NIST CSF, and emerging AI-specific standards. - Policy & Control Design: Support the development of organizational AI security policies, Responsible AI guidelines, and model risk management procedures that integrate cybersecurity and data ethics principles. - Technical AI Risk Testing: Perform security configuration reviews, vulnerability assessments, and testing of AI platforms, APIs, and ML pipelines to identify gaps in data protection, access control, and auditability. - Client Engagement: Assist in client discussions, workshops, and reporting activities; clearly articulate findings and recommendations in both technical and business language. - Collaboration: Work closely with cross-functional teams (Data Science, Risk, Compliance, and IT) to embed security-by-design principles within AI initiatives. Key Skills Required: - AI & ML Understanding: Working knowledge of AI/ML system architectures, model lifecycle, and associated security challenges (e.g., model poisoning, data drift, privacy leakage). - Cybersecurity Fundamentals: Strong foundation in information security principles, including IAM, data protection, encryption, network security, and secure coding practices. - Frameworks & Standards: Exposure to ISO/IEC 42001, NIST AI RMF, ISO 27001, NIST CSF, and Responsible AI practices. - Risk Management: Experience in identifying and assessing AI and cybersecurity risks, and developing mitigation strategies. - Communication: Excellent analytical, documentation, and presentation skills. - Teamwork: Ability to work collaboratively in a fast-paced consulting environment. - Education: Bachelor’s degree in Computer Science, Information Security, Engineering, or related field. - Experience: 3–6 years of relevant experience in Cybersecurity or Risk Consulting, with exposure to AI/ML systems preferred. - Certifications (Preferred): - ISO/IEC 42001 Lead Implementer or Auditor (preferred) - NIST AI RMF Practitioner (or equivalent training) - ISO 27001 Lead Auditor/Implementer - General cybersecurity certifications such as CCSP, CISM, or CISSP (beneficial) - Familiarity with secure AI system design and model validation processes - Understanding of AI model transparency, fairness, and ethics considerations - Exposure to architecture of ncloud-native AI platforms (AWS Sagemaker, Azure AI, Google Vertex AI)