Job Description
**Head – AI Chatbot Development** | Hybrid - Bengaluru | Full-time | INR 51.1-119.0 LPA
**About the role:**
- Position within AI Chatbots, under the Artificial Intelligence (AI) vertical
- Level: senior level
- Reports to the functional head for AI Chatbots
**What you'll do:**
- Handle core ai chatbots activities on a day-to-day basis
- Use Python regularly as part of core deliverables
- Work closely with adjacent teams to align priorities
- Track progress against agreed timelines and escalate issues proactively
**What you'll need:**
- Python
- AI Chatbots
- Statistical Modelling
- Cloud Platforms (AWS/GCP/Azure)
- Neural Network Architectures
- Model Deployment (MLOps)
- M.Sc (Data Science)
- 8+ years of relevant experience
**Good to know:**
- High performers in this role typically move into a broader ownership scope within 18-24 months. 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. Most days include at least one review checkpoint where progress is discussed against the plan for the week. 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. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
- New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. 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 organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
- 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.
- Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. 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. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
**About the role:**
- Position within AI Chatbots, under the Artificial Intelligence (AI) vertical
- Level: senior level
- Reports to the functional head for AI Chatbots
**What you'll do:**
- Handle core ai chatbots activities on a day-to-day basis
- Use Python regularly as part of core deliverables
- Work closely with adjacent teams to align priorities
- Track progress against agreed timelines and escalate issues proactively
**What you'll need:**
- Python
- AI Chatbots
- Statistical Modelling
- Cloud Platforms (AWS/GCP/Azure)
- Neural Network Architectures
- Model Deployment (MLOps)
- M.Sc (Data Science)
- 8+ years of relevant experience
**Good to know:**
- High performers in this role typically move into a broader ownership scope within 18-24 months. 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. Most days include at least one review checkpoint where progress is discussed against the plan for the week. 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. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
- New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. 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 organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
- 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.
- Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. 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. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.