Job Description
Artificial Intelligence (AI) is looking for an experienced Head of AI Operations 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 11 years of progressively senior experience, holding M.Sc (Data Science), with a demonstrated track record across Computer Vision, AI Operations (AIOps), Python, Data Preprocessing, Statistical Modelling. 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 - Bengaluru on a hybrid arrangement. Compensation is benchmarked at INR 18.4-79.7 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).
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Compensation includes standard statutory benefits along with performance-linked variable pay.
The next logical step from this position is a senior or lead-track role within the same function. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
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.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
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.
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. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Learning and certification support is available for tools and frameworks directly relevant to the role.
The successful candidate will bring approximately 11 years of progressively senior experience, holding M.Sc (Data Science), with a demonstrated track record across Computer Vision, AI Operations (AIOps), Python, Data Preprocessing, Statistical Modelling. 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 - Bengaluru on a hybrid arrangement. Compensation is benchmarked at INR 18.4-79.7 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).
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Compensation includes standard statutory benefits along with performance-linked variable pay.
The next logical step from this position is a senior or lead-track role within the same function. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
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.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
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.
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. Relocation assistance may be extended for candidates moving from a different city, subject to approval. Learning and certification support is available for tools and frameworks directly relevant to the role.