Job Description
Artificial Intelligence (AI) is looking for an experienced AI Ethics & Responsible Innovation Lead to take ownership of the AI Ethics & Governance charter at a senior 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 14 years of progressively senior experience, holding M.Tech (AI/ML), with a demonstrated track record across AI Ethics, Statistical Modelling, Machine Learning, Natural Language Processing, 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 Gurugram on a full-time arrangement. Compensation is benchmarked at INR 47.5-88.5 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 ethics & governance.
The package is structured with a fixed component, performance bonus, and standard health coverage. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
The successful candidate will bring approximately 14 years of progressively senior experience, holding M.Tech (AI/ML), with a demonstrated track record across AI Ethics, Statistical Modelling, Machine Learning, Natural Language Processing, 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 Gurugram on a full-time arrangement. Compensation is benchmarked at INR 47.5-88.5 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 ethics & governance.
The package is structured with a fixed component, performance bonus, and standard health coverage. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.