Job Description
## Chief AI Risk Officer
**Department:** AI Governance & Compliance | **Industry:** Artificial Intelligence (AI)
**Location:** Jaipur | **Job Type:** Full-time | **CTC:** INR 20.2-67.1 LPA
### Role Overview
This position calls for a Chief AI Risk Officer who can take ownership of core responsibilities within our AI Governance & Compliance team. The role is positioned at the senior level and reports into the broader AI Governance & Compliance charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to ai governance & compliance.
- Apply working knowledge of Statistical Modelling and Cloud Platforms (AWS/GCP/Azure) to daily execution.
- Coordinate with cross-functional stakeholders within Artificial Intelligence (AI).
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- M.Sc (Data Science) or equivalent qualification.
- 8 years of relevant experience (senior level).
- Working proficiency in: Statistical Modelling, Cloud Platforms (AWS/GCP/Azure), Deep Learning, Data Preprocessing, Computer Vision, TensorFlow/PyTorch, Compliance, AI Governance.
### Additional Notes
References may be requested closer to the offer stage rather than at the start of the process. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. 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. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. The package is structured with a fixed component, performance bonus, and standard health coverage. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. The next logical step from this position is a senior or lead-track role within the same function. Learning and certification support is available for tools and frameworks directly relevant to the role. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Interested candidates should be prepared to walk through relevant past work during the interview process. High performers in this role typically move into a broader ownership scope within 18-24 months. The organisation has historically promoted from within for a majority of its senior and lead openings. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. 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.
**Department:** AI Governance & Compliance | **Industry:** Artificial Intelligence (AI)
**Location:** Jaipur | **Job Type:** Full-time | **CTC:** INR 20.2-67.1 LPA
### Role Overview
This position calls for a Chief AI Risk Officer who can take ownership of core responsibilities within our AI Governance & Compliance team. The role is positioned at the senior level and reports into the broader AI Governance & Compliance charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to ai governance & compliance.
- Apply working knowledge of Statistical Modelling and Cloud Platforms (AWS/GCP/Azure) to daily execution.
- Coordinate with cross-functional stakeholders within Artificial Intelligence (AI).
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- M.Sc (Data Science) or equivalent qualification.
- 8 years of relevant experience (senior level).
- Working proficiency in: Statistical Modelling, Cloud Platforms (AWS/GCP/Azure), Deep Learning, Data Preprocessing, Computer Vision, TensorFlow/PyTorch, Compliance, AI Governance.
### Additional Notes
References may be requested closer to the offer stage rather than at the start of the process. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. 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. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. The package is structured with a fixed component, performance bonus, and standard health coverage. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. The next logical step from this position is a senior or lead-track role within the same function. Learning and certification support is available for tools and frameworks directly relevant to the role. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Interested candidates should be prepared to walk through relevant past work during the interview process. High performers in this role typically move into a broader ownership scope within 18-24 months. The organisation has historically promoted from within for a majority of its senior and lead openings. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. 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.