Job Description
Artificial Intelligence (AI) is looking for an experienced AI Privacy Engineer to take ownership of the AI Security & Privacy 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 7 years of progressively senior experience, holding B.Tech (CS/AI), with a demonstrated track record across Privacy, Cloud Platforms (AWS/GCP/Azure), AI Security, Data Preprocessing, Machine Learning. 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 hybrid arrangement. Compensation is benchmarked at INR 23.3-55.0 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 security & privacy.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. The organisation has historically promoted from within for a majority of its senior and lead openings.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
Internal job postings are open to employees who've completed a minimum tenure in their current role. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The next logical step from this position is a senior or lead-track role within the same function.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
The successful candidate will bring approximately 7 years of progressively senior experience, holding B.Tech (CS/AI), with a demonstrated track record across Privacy, Cloud Platforms (AWS/GCP/Azure), AI Security, Data Preprocessing, Machine Learning. 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 hybrid arrangement. Compensation is benchmarked at INR 23.3-55.0 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 security & privacy.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. The organisation has historically promoted from within for a majority of its senior and lead openings.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
Internal job postings are open to employees who've completed a minimum tenure in their current role. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The next logical step from this position is a senior or lead-track role within the same function.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.