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 practices
Required 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.

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Someone shared one job with you. ASAI keeps finding the rest.

Scored, not searched. Every role ranked against your actual profile.

Alerts as often as hourly. Reach new roles while the pile is still small.

Skill gaps, spelled out. See exactly which requirements you don't meet yet.

Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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 practices
Required 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.