Job Description
An opening exists for an AI Integration Lead – Chatbots to join the Artificial Intelligence (AI) vertical, focused on AI Chatbots. This is a senior level opening based out of Delhi NCR, offered on a full-time basis.
The ideal candidate holds Ph.D (AI) and brings roughly 12 years of hands-on exposure to ai chatbots. Day-to-day, the work draws heavily on Neural Network Architectures, AI Chatbots, Python, Data Preprocessing, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 37.4-66.9 LPA, in line with market standards for senior level roles within artificial intelligence (ai).
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
References may be requested closer to the offer stage rather than at the start of the process. High performers in this role typically move into a broader ownership scope within 18-24 months.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. 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.
Most days include at least one review checkpoint where progress is discussed against the plan for the week. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
Interested candidates should be prepared to walk through relevant past work during the interview process. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
This is a good fit for someone who wants real ownership rather than a purely execution-only role.
The ideal candidate holds Ph.D (AI) and brings roughly 12 years of hands-on exposure to ai chatbots. Day-to-day, the work draws heavily on Neural Network Architectures, AI Chatbots, Python, Data Preprocessing, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 37.4-66.9 LPA, in line with market standards for senior level roles within artificial intelligence (ai).
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
References may be requested closer to the offer stage rather than at the start of the process. High performers in this role typically move into a broader ownership scope within 18-24 months.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. 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.
Most days include at least one review checkpoint where progress is discussed against the plan for the week. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
Interested candidates should be prepared to walk through relevant past work during the interview process. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
This is a good fit for someone who wants real ownership rather than a purely execution-only role.