Job Description
Artificial Intelligence (AI) is looking for an experienced AI Audit & Compliance Manager to take ownership of the AI Governance & Compliance charter at a mid level. This is a role for someone who has already operated at scale and is comfortable setting direction rather than simply following one.
The successful candidate will bring approximately 4 years of progressively senior experience, holding B.Tech (CS/AI), with a demonstrated track record across Statistical Modelling, AI Governance, Compliance, Data Preprocessing, Neural Network Architectures. Beyond individual capability, this role expects the person to mentor junior team members and represent the function in cross-departmental discussions.
Reporting relationships will be defined based on the final scope agreed at offer stage, and the role is based out of Hybrid - Bengaluru on a contract arrangement. Compensation is benchmarked at INR 24.4-50.5 LPA, reflecting the seniority and scope of the position.
Success in this role will be measured less by task completion and more by the quality of judgement applied to ambiguous, high-stakes situations within ai governance & compliance.
Interested candidates should be prepared to walk through relevant past work during the interview process. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
References may be requested closer to the offer stage rather than at the start of the process. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
High performers in this role typically move into a broader ownership scope within 18-24 months. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
Compensation includes standard statutory benefits along with performance-linked variable pay. The next logical step from this position is a senior or lead-track role within the same function. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
The successful candidate will bring approximately 4 years of progressively senior experience, holding B.Tech (CS/AI), with a demonstrated track record across Statistical Modelling, AI Governance, Compliance, Data Preprocessing, Neural Network Architectures. Beyond individual capability, this role expects the person to mentor junior team members and represent the function in cross-departmental discussions.
Reporting relationships will be defined based on the final scope agreed at offer stage, and the role is based out of Hybrid - Bengaluru on a contract arrangement. Compensation is benchmarked at INR 24.4-50.5 LPA, reflecting the seniority and scope of the position.
Success in this role will be measured less by task completion and more by the quality of judgement applied to ambiguous, high-stakes situations within ai governance & compliance.
Interested candidates should be prepared to walk through relevant past work during the interview process. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
References may be requested closer to the offer stage rather than at the start of the process. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
High performers in this role typically move into a broader ownership scope within 18-24 months. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
Compensation includes standard statutory benefits along with performance-linked variable pay. The next logical step from this position is a senior or lead-track role within the same function. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.