Job Description
Position: AI Ethics & Standards Program Director
Function: AI Ethics & Governance
Industry: Artificial Intelligence (AI)
Grade: senior level
Location: Nagpur
Employment Type: Full-time
Compensation: INR 31.6-59.3 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with ai ethics & governance, in accordance with the standards and processes laid down by Artificial Intelligence (AI).
Minimum Qualification: M.Tech (AI/ML)
Minimum Experience: 11 years
Core Competencies Required: Governance, Neural Network Architectures, AI Ethics, Cloud Platforms (AWS/GCP/Azure), Computer Vision, Model Deployment (MLOps)
Further Information:
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. The next logical step from this position is a senior or lead-track role within the same function. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The package is structured with a fixed component, performance bonus, and standard health coverage. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. 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. References may be requested closer to the offer stage rather than at the start of the process. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. 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. Compensation includes standard statutory benefits along with performance-linked variable pay. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Internal job postings are open to employees who've completed a minimum tenure in their current role. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
Function: AI Ethics & Governance
Industry: Artificial Intelligence (AI)
Grade: senior level
Location: Nagpur
Employment Type: Full-time
Compensation: INR 31.6-59.3 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with ai ethics & governance, in accordance with the standards and processes laid down by Artificial Intelligence (AI).
Minimum Qualification: M.Tech (AI/ML)
Minimum Experience: 11 years
Core Competencies Required: Governance, Neural Network Architectures, AI Ethics, Cloud Platforms (AWS/GCP/Azure), Computer Vision, Model Deployment (MLOps)
Further Information:
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. The next logical step from this position is a senior or lead-track role within the same function. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The package is structured with a fixed component, performance bonus, and standard health coverage. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. 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. References may be requested closer to the offer stage rather than at the start of the process. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. 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. Compensation includes standard statutory benefits along with performance-linked variable pay. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Internal job postings are open to employees who've completed a minimum tenure in their current role. Relocation assistance may be extended for candidates moving from a different city, subject to approval.