Job Description
## Director – AI Chatbots & Virtual Assistants
**Department:** Conversational AI | **Industry:** Artificial Intelligence (AI)
**Location:** Coimbatore | **Job Type:** Full-time | **CTC:** INR 33.7-75.1 LPA
### Role Overview
This position calls for a Director – AI Chatbots & Virtual Assistants who can take ownership of core responsibilities within our Conversational AI team. 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 Computer Vision and Natural Language Processing 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
- M.Tech (AI/ML) or equivalent qualification.
- 12 years of relevant experience (senior level).
- Working proficiency in: Computer Vision, Natural Language Processing, Conversational AI, Neural Network Architectures, Cloud Platforms (AWS/GCP/Azure), Python, Model Deployment (MLOps).
### Additional Notes
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. The package is structured with a fixed component, performance bonus, and standard health coverage. References may be requested closer to the offer stage rather than at the start of the process. Interested candidates should be prepared to walk through relevant past work during the interview process. 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. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Relocation assistance may be extended for candidates moving from a different city, subject to approval. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. 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 organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
**Department:** Conversational AI | **Industry:** Artificial Intelligence (AI)
**Location:** Coimbatore | **Job Type:** Full-time | **CTC:** INR 33.7-75.1 LPA
### Role Overview
This position calls for a Director – AI Chatbots & Virtual Assistants who can take ownership of core responsibilities within our Conversational AI team. 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 Computer Vision and Natural Language Processing 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
- M.Tech (AI/ML) or equivalent qualification.
- 12 years of relevant experience (senior level).
- Working proficiency in: Computer Vision, Natural Language Processing, Conversational AI, Neural Network Architectures, Cloud Platforms (AWS/GCP/Azure), Python, Model Deployment (MLOps).
### Additional Notes
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. The package is structured with a fixed component, performance bonus, and standard health coverage. References may be requested closer to the offer stage rather than at the start of the process. Interested candidates should be prepared to walk through relevant past work during the interview process. 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. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Relocation assistance may be extended for candidates moving from a different city, subject to approval. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. 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 organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. There is a defined internal mobility path for people who want to specialise deeper or move into people management.