Job Description
## AI Product Lead – Chatbots & Voice Assistants
**Department:** Conversational AI | **Industry:** Artificial Intelligence (AI)
**Location:** Delhi NCR | **Job Type:** Hybrid | **CTC:** INR 45.0-68.5 LPA
### Role Overview
We are looking to onboard an AI Product Lead – Chatbots & Voice Assistants to strengthen our Conversational AI function within Artificial Intelligence (AI). The role is positioned at the senior level and reports into the broader Conversational AI charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to conversational ai.
- Apply working knowledge of Natural Language Processing and Conversational AI to daily execution.
- Coordinate with cross-functional stakeholders within Artificial Intelligence (AI).
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- Ph.D (AI) or equivalent qualification.
- 11 years of relevant experience (senior level).
- Working proficiency in: Natural Language Processing, Conversational AI, Data Preprocessing, Python, TensorFlow/PyTorch, Machine Learning, Computer Vision, Model Deployment (MLOps), Cloud Platforms (AWS/GCP/Azure).
### Additional Notes
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. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. 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. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. 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. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. The organisation has historically promoted from within for a majority of its senior and lead openings. 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. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
**Department:** Conversational AI | **Industry:** Artificial Intelligence (AI)
**Location:** Delhi NCR | **Job Type:** Hybrid | **CTC:** INR 45.0-68.5 LPA
### Role Overview
We are looking to onboard an AI Product Lead – Chatbots & Voice Assistants to strengthen our Conversational AI function within Artificial Intelligence (AI). The role is positioned at the senior level and reports into the broader Conversational AI charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to conversational ai.
- Apply working knowledge of Natural Language Processing and Conversational AI to daily execution.
- Coordinate with cross-functional stakeholders within Artificial Intelligence (AI).
- Maintain documentation and reporting as required by the team lead.
- Flag risks and blockers early rather than at review checkpoints.
### Requirements
- Ph.D (AI) or equivalent qualification.
- 11 years of relevant experience (senior level).
- Working proficiency in: Natural Language Processing, Conversational AI, Data Preprocessing, Python, TensorFlow/PyTorch, Machine Learning, Computer Vision, Model Deployment (MLOps), Cloud Platforms (AWS/GCP/Azure).
### Additional Notes
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. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. 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. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. 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. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. The organisation has historically promoted from within for a majority of its senior and lead openings. 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. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Most days include at least one review checkpoint where progress is discussed against the plan for the week.