Job Description
AI Governance & Risk Strategy Head | Jaipur | INR 30.3-60.7 LPA
AI Ethics & Governance role, senior level, leadership - full-time.
Need: Ph.D (AI), 16+ yrs.
Core skills: AI Ethics, Machine Learning, Model Deployment (MLOps), Governance, Natural Language Processing.
If this fits your profile in ai ethics & governance, apply now.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Interested candidates should be prepared to walk through relevant past work during the interview process.
Internal job postings are open to employees who've completed a minimum tenure in their current role. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
References may be requested closer to the offer stage rather than at the start of the process. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
The package is structured with a fixed component, performance bonus, and standard health coverage. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Compensation includes standard statutory benefits along with performance-linked variable pay.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Learning and certification support is available for tools and frameworks directly relevant to the role.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
The next logical step from this position is a senior or lead-track role within the same function. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
AI Ethics & Governance role, senior level, leadership - full-time.
Need: Ph.D (AI), 16+ yrs.
Core skills: AI Ethics, Machine Learning, Model Deployment (MLOps), Governance, Natural Language Processing.
If this fits your profile in ai ethics & governance, apply now.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Interested candidates should be prepared to walk through relevant past work during the interview process.
Internal job postings are open to employees who've completed a minimum tenure in their current role. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
References may be requested closer to the offer stage rather than at the start of the process. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
The package is structured with a fixed component, performance bonus, and standard health coverage. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Compensation includes standard statutory benefits along with performance-linked variable pay.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Learning and certification support is available for tools and frameworks directly relevant to the role.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
The next logical step from this position is a senior or lead-track role within the same function. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.