Job Description
Artificial Intelligence (AI) is looking for an experienced Senior AI Interaction Designer 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 9 years of progressively senior experience, holding M.Tech (AI/ML), with a demonstrated track record across Python, Deep Learning, Conversational AI, TensorFlow/PyTorch, Data Preprocessing. 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 Jaipur on a full-time arrangement. Compensation is benchmarked at INR 29.1-73.8 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.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
Interested candidates should be prepared to walk through relevant past work during the interview process. Compensation includes standard statutory benefits along with performance-linked variable pay.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. 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. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
Most days include at least one review checkpoint where progress is discussed against the plan for the week. Learning and certification support is available for tools and frameworks directly relevant to the role. Internal job postings are open to employees who've completed a minimum tenure in their current role.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
The package is structured with a fixed component, performance bonus, and standard health coverage. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
The organisation has historically promoted from within for a majority of its senior and lead openings. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. 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.
The successful candidate will bring approximately 9 years of progressively senior experience, holding M.Tech (AI/ML), with a demonstrated track record across Python, Deep Learning, Conversational AI, TensorFlow/PyTorch, Data Preprocessing. 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 Jaipur on a full-time arrangement. Compensation is benchmarked at INR 29.1-73.8 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.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
Interested candidates should be prepared to walk through relevant past work during the interview process. Compensation includes standard statutory benefits along with performance-linked variable pay.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. 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. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
Most days include at least one review checkpoint where progress is discussed against the plan for the week. Learning and certification support is available for tools and frameworks directly relevant to the role. Internal job postings are open to employees who've completed a minimum tenure in their current role.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
The package is structured with a fixed component, performance bonus, and standard health coverage. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
The organisation has historically promoted from within for a majority of its senior and lead openings. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. 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.