Job Description
Artificial Intelligence (AI) is looking for an experienced Lead 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 15 years of progressively senior experience, holding M.Tech (AI/ML), with a demonstrated track record across TensorFlow/PyTorch, Conversational AI, Statistical Modelling, Natural Language Processing, Python. 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 Coimbatore on a hybrid arrangement. Compensation is benchmarked at INR 51.5-114.2 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.
High performers in this role typically move into a broader ownership scope within 18-24 months. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Internal job postings are open to employees who've completed a minimum tenure in their current role.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. The package is structured with a fixed component, performance bonus, and standard health coverage.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
The next logical step from this position is a senior or lead-track role within the same function. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
The organisation has historically promoted from within for a majority of its senior and lead openings. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
The successful candidate will bring approximately 15 years of progressively senior experience, holding M.Tech (AI/ML), with a demonstrated track record across TensorFlow/PyTorch, Conversational AI, Statistical Modelling, Natural Language Processing, Python. 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 Coimbatore on a hybrid arrangement. Compensation is benchmarked at INR 51.5-114.2 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.
High performers in this role typically move into a broader ownership scope within 18-24 months. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Internal job postings are open to employees who've completed a minimum tenure in their current role.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. The package is structured with a fixed component, performance bonus, and standard health coverage.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
The next logical step from this position is a senior or lead-track role within the same function. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
The organisation has historically promoted from within for a majority of its senior and lead openings. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.