AI Risk and Governance specialist

Job Title: Specialist - Risk & Control Assurance Location: Noida Experience: 8–12 years in Technology Risk and Compliance Cyber Security (AI Knowledge Mandatory) Department: Global Technology Reports To: Sr. Principal Architect / Sr. AVP – Technology Key Responsibilities 1. Proven working experience in IT Security, Cyber Risk, or Compliance roles within enterprise environments. 2. Strong hands-on expertise with Security Solutions like CNAPP, SIEM, EDR/XDR, Identity Governance Platforms, IAM for AI Agents, Air-Gapped Resiliency Platforms etc. 3. Ability to manage and respond to cyber security incidents aligned to defined Response, Containment, and Remediation SLAs. 4. Capability to proactively identify threats, emerging attack patterns, and security gaps using threat intelligence and analytics. 5. Working knowledge of network security architecture including Firewalls, Routers, Switches, VPN/ZTNA, and segmentation controls. 6. Understanding of multi-cloud infra along with application security (including AI / Gen AI based Apps) , including secure configuration baselines and hardening procedures. 7. Conduct vulnerability gap assessments, risk scoring, and provide patching and remediation recommendations aligned to business risk. 8. Strong knowledge of latest updates and trends in CIS Benchmarks, NIST, and industry hardening standards (like NIST PQC) 9. Understanding of Cloud Security principles across IaaS, PaaS, SaaS, and modern containerized workloads. 10. Experience in front-ending Internal and External Audits and certifications like PCI-DSS, SOC2, HIPAA. 11. Always updated on latest Threats, News and new or upcoming frameworks like various Data Privacy for multiple Geos etc. AI, Responsible AI & Secure AI Requirements 11. Basic understanding of AI/GenAI security risks including prompt injection, model poisoning, data leakage, and misuse scenarios. 12. Awareness of Responsible AI principles such as fairness, explainability, privacy, transparency, and ethical AI usage in enterprise environments. 13. Ability to support Secure AI lifecycle practices including secure model deployment, data governance, access control, and monitoring of AI services. 14. Familiarity with AI risk frameworks (e.g., NIST AI RMF, ISO AI governance concepts, or enterprise AI security guidelines). 15. Exposure to AI-enabled security analytics or automation (AI-driven threat detection, vulnerability prioritization, or security copilots) is preferred. 16. Understanding of how AI integrates with Zero Trust, Identity Security, and Data Protection strategies. Additional Requirements 1. Coordinate effectively with internal stakeholders, engineering teams, and vendors to implement secure-by-design and AI-secure practices. 2. Working knowledge of security standards such as PCI-DSS, ISO 27001, NIST CSF, and emerging AI governance expectations. 3. Strong analytical capability to transform security telemetry into risk insights, dashboards, and executive reporting. 4. Experience building data-driven dashboards highlighting vulnerability posture, AI risk exposure, compliance metrics, and remediation progress. 5. Ability to leverage automation or AI-assisted tools for reporting, prioritization, and operational efficiency.