Job Description
## AI Conversational Systems Technical Director
**Department:** Conversational AI | **Industry:** Artificial Intelligence (AI)
**Location:** Kochi | **Job Type:** Full-time | **CTC:** INR 18.6-73.7 LPA
### Role Overview
This position calls for an AI Conversational Systems Technical Director 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 Data Preprocessing 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.
- 15 years of relevant experience (senior level).
- Working proficiency in: Data Preprocessing, Natural Language Processing, Neural Network Architectures, TensorFlow/PyTorch, Python, Computer Vision, Conversational AI.
### Additional Notes
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. 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. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. References may be requested closer to the offer stage rather than at the start of the process. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Compensation includes standard statutory benefits along with performance-linked variable pay. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Interested candidates should be prepared to walk through relevant past work during the interview process. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
**Department:** Conversational AI | **Industry:** Artificial Intelligence (AI)
**Location:** Kochi | **Job Type:** Full-time | **CTC:** INR 18.6-73.7 LPA
### Role Overview
This position calls for an AI Conversational Systems Technical Director 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 Data Preprocessing 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.
- 15 years of relevant experience (senior level).
- Working proficiency in: Data Preprocessing, Natural Language Processing, Neural Network Architectures, TensorFlow/PyTorch, Python, Computer Vision, Conversational AI.
### Additional Notes
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. 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. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. References may be requested closer to the offer stage rather than at the start of the process. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Compensation includes standard statutory benefits along with performance-linked variable pay. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Interested candidates should be prepared to walk through relevant past work during the interview process. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.