₹11L – ₹24L a year estimatetypical for IT Jobs in India, 891 posts
Posted 12 days ago
Role at a glance
You will
You will support AI Governance, risk assessment, compliance reviews, control testing, and regulatory alignment for AI/GenAI use cases…
Duties and Responsibilities
Work as part of the IT Compliance function for AI Governance and Compliance across BFL.
Experience
2–5 years
Education
Bachelor's degree
Must-have skills
Cloud SecurityData GovernanceCompliance
Job description
Job Purpose You will support AI Governance, risk assessment, compliance reviews, control testing, and regulatory alignment for AI/GenAI use cases across BFL.Duties and Responsibilities Duties and Responsibilities • Work as part of the IT Compliance function for AI Governance and Compliance across BFL. • Support execution of the Annual Operating Plan for the AI Governance unit under IT leadership. • Conduct compliance reviews across AI governance, AI security, model controls, ITGC, technology controls, and functional controls. • Review AI/GenAI use cases across the lifecycle — intake, design, development, deployment, monitoring, and retirement. • Assess compliance with applicable internal policies, regulatory expectations, and responsible AI principles. • Evaluate controls related to confidentiality, integrity, availability, data protection, access management, and operational resilience. • Support implementation and monitoring of AI model governance controls, committee-level reporting, and issue tracking. • Identify gaps, document observations, recommend corrective actions, and track remediation to closure. • Support governance over GenAI usage, including prompt controls, data leakage prevention, output validation, and human oversight. • Key Stakeholders: CXOs, IT, AI Teams, Business, Data Science, Cyber Security, Risk, Legal, Compliance, Audit, and vendor teams. • Support third-party/vendor AI governance reviews, including due diligence, control assessment, and periodic compliance checks. • Stay updated on emerging AI regulations, standards, technologies, and industry practicesRequired Qualifications and Experience Required Qualifications: Qualifications & Skillset: • BE/B.Tech/CA/MBA or equivalent qualification with 2–5 years of experience in IT compliance, IT audit, technology risk, AI governance, model governance, cyber security, or related areas. • Current or prior experience working on AI/ML/GenAI projects is mandatory. • Working knowledge of AI lifecycle, model governance, data governance, ITGC, application controls, cloud/security controls, and compliance reviews. • Understanding of AI risk areas such as bias, explainability, model drift, data privacy, security, hallucination, and human oversight. • Understanding of key AI technologies such as Agentic, BOTs etc • Sound understanding of IT architecture and terminologies • Familiarity with AI governance standards/frameworks such as ISO/IEC 42001, NIST AI RMF, Responsible AI principles, and relevant regulatory expectations. • Willingness to work in Compliance function and conduct IT audits, AI reviews, control testing, and governance assessments. • Preferred certifications: CISA, CISSP, CISM, CRISC, ISO 27001, ISO/IEC 42001, IAPP AIGP, GARP Responsible AI, or equivalent AI/security/compliance certification. • Strong academic background with ability to stay updated on emerging AI technologies, regulations, and control practices.