Job Description
Artificial Intelligence (AI) is looking for an experienced Chief Conversational AI Engineer to take ownership of the Conversational AI 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.Tech (AI/ML), with a demonstrated track record across Deep Learning, Cloud Platforms (AWS/GCP/Azure), Python, Machine Learning, Conversational AI. 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 hybrid arrangement. Compensation is benchmarked at INR 33.7-62.0 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 conversational ai.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Compensation includes standard statutory benefits along with performance-linked variable pay.
High performers in this role typically move into a broader ownership scope within 18-24 months. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Internal job postings are open to employees who've completed a minimum tenure in their current role.
Interested candidates should be prepared to walk through relevant past work during the interview process. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
The successful candidate will bring approximately 10 years of progressively senior experience, holding M.Tech (AI/ML), with a demonstrated track record across Deep Learning, Cloud Platforms (AWS/GCP/Azure), Python, Machine Learning, Conversational AI. 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 hybrid arrangement. Compensation is benchmarked at INR 33.7-62.0 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 conversational ai.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Compensation includes standard statutory benefits along with performance-linked variable pay.
High performers in this role typically move into a broader ownership scope within 18-24 months. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Internal job postings are open to employees who've completed a minimum tenure in their current role.
Interested candidates should be prepared to walk through relevant past work during the interview process. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.