Job Description
Artificial Intelligence (AI) is looking for an experienced Chief AI Operations Officer to take ownership of the AI Operations (AIOps) 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 10 years of progressively senior experience, holding M.Sc (Data Science), with a demonstrated track record across AI Operations (AIOps), Neural Network Architectures, Model Deployment (MLOps), Python, Computer Vision. 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 Hybrid - Pune on a full-time arrangement. Compensation is benchmarked at INR 7.5-56.1 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 operations (aiops).
Learning and certification support is available for tools and frameworks directly relevant to the role. The organisation has historically promoted from within for a majority of its senior and lead openings.
The package is structured with a fixed component, performance bonus, and standard health coverage. 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.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. References may be requested closer to the offer stage rather than at the start of the process. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
High performers in this role typically move into a broader ownership scope within 18-24 months. 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.
Compensation includes standard statutory benefits along with performance-linked variable pay. Internal job postings are open to employees who've completed a minimum tenure in their current role. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
The successful candidate will bring approximately 10 years of progressively senior experience, holding M.Sc (Data Science), with a demonstrated track record across AI Operations (AIOps), Neural Network Architectures, Model Deployment (MLOps), Python, Computer Vision. 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 Hybrid - Pune on a full-time arrangement. Compensation is benchmarked at INR 7.5-56.1 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 operations (aiops).
Learning and certification support is available for tools and frameworks directly relevant to the role. The organisation has historically promoted from within for a majority of its senior and lead openings.
The package is structured with a fixed component, performance bonus, and standard health coverage. 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.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. References may be requested closer to the offer stage rather than at the start of the process. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
High performers in this role typically move into a broader ownership scope within 18-24 months. 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.
Compensation includes standard statutory benefits along with performance-linked variable pay. Internal job postings are open to employees who've completed a minimum tenure in their current role. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.