Vacancy description
Infiniti Research Marketing Solutions India Priva te Limited
Quantzig - Security & AI Governance Lead in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
Job Description:Experience Required:- 8-10 years of experience in security, risk, or governance roles, including at least 3 years focused specifically on AI/ML governance, responsible AI, or model risk https://jobeax.com/link/8l1HKAPsCuIcTvHp Responsibilities:1. Entitlements & Access Control:- Define and enforce entitlement and access-control policies across all platform capabilities, ensuring data and model access are never granted beyond what a user's role permits.2. Audit Trail Design:- Own the audit trail design so that every routing decision, model call, and human action is logged, reviewable, and reproducible.3. Evaluation Harness:- Design and maintain the evaluation harness used to test AI outputs for accuracy, bias, safety, and policy compliance before and after release.4. Responsible-AI Reviews:- Lead responsible-AI reviews for new capabilities, agents, or model changes prior to production rollout.5. AI Guardrails:- Establish and monitor guardrails against prompt injection, data exfiltration, unsafe tool use, and other AI-specific risks.6. Data Classification & Privacy:- Define data classification, redaction, and privacy-by-design requirements (e.g., PII/PHI handling) in partnership with legal and compliance stakeholders.7. Model Change Management:- Own model versioning, rollback, and change-management policy so that any production issue can be traced and reversed.8. Audit & Compliance Liaison:- Serve as the primary point of contact for internal and external audits, security reviews, and compliance questions related to the platform.9. Governance by Design:- Partner with solution architects and engineering leads to ensure governance requirements are reflected in system design, not retrofitted after build.Qualifications:- Demonstrated experience building or governing AI/ML systems in a regulated or high-compliance environment.- Strong understanding of access control models (role-based, attribute-based) and entitlement enforcement patterns.- Familiarity with AI safety and evaluation frameworks, including bias, groundedness, and adversarial-robustness testing.- Experience with audit logging, data lineage, and reproducibility requirements.- Working knowledge of data privacy regulations and privacy-by-design principles.- Strong stakeholder communication skills - able to translate technical risk into business-relevant terms for leadership and auditors.- Experience in pharmaceutical, healthcare, or other highly regulated industries. (ref:hirist.tech)
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