Job Description
## AI Solutions Architect – Chatbots
**Department:** AI Chatbots | **Industry:** Artificial Intelligence (AI)
**Location:** Indore | **Job Type:** Leadership - Full-time | **CTC:** INR 28.8-57.8 LPA
### Role Overview
We are looking to onboard an AI Solutions Architect – Chatbots to strengthen our AI Chatbots function within Artificial Intelligence (AI). The role is positioned at the senior level and reports into the broader AI Chatbots charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to ai chatbots.
- Apply working knowledge of Machine Learning and Neural Network Architectures 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.
- 8 years of relevant experience (senior level).
- Working proficiency in: Machine Learning, Neural Network Architectures, Cloud Platforms (AWS/GCP/Azure), Natural Language Processing, AI Chatbots, Python, Statistical Modelling.
### Additional Notes
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The package is structured with a fixed component, performance bonus, and standard health coverage. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Compensation includes standard statutory benefits along with performance-linked variable pay. 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. Relocation assistance may be extended for candidates moving from a different city, subject to approval. There is a defined internal mobility path for people who want to specialise deeper or move into people management. High performers in this role typically move into a broader ownership scope within 18-24 months. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Internal job postings are open to employees who've completed a minimum tenure in their current role. Interested candidates should be prepared to walk through relevant past work during the interview process. Learning and certification support is available for tools and frameworks directly relevant to the role. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. References may be requested closer to the offer stage rather than at the start of the process. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. 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. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. 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.
**Department:** AI Chatbots | **Industry:** Artificial Intelligence (AI)
**Location:** Indore | **Job Type:** Leadership - Full-time | **CTC:** INR 28.8-57.8 LPA
### Role Overview
We are looking to onboard an AI Solutions Architect – Chatbots to strengthen our AI Chatbots function within Artificial Intelligence (AI). The role is positioned at the senior level and reports into the broader AI Chatbots charter.
### Key Responsibilities
- Own end-to-end delivery of tasks related to ai chatbots.
- Apply working knowledge of Machine Learning and Neural Network Architectures 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.
- 8 years of relevant experience (senior level).
- Working proficiency in: Machine Learning, Neural Network Architectures, Cloud Platforms (AWS/GCP/Azure), Natural Language Processing, AI Chatbots, Python, Statistical Modelling.
### Additional Notes
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The package is structured with a fixed component, performance bonus, and standard health coverage. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Compensation includes standard statutory benefits along with performance-linked variable pay. 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. Relocation assistance may be extended for candidates moving from a different city, subject to approval. There is a defined internal mobility path for people who want to specialise deeper or move into people management. High performers in this role typically move into a broader ownership scope within 18-24 months. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Internal job postings are open to employees who've completed a minimum tenure in their current role. Interested candidates should be prepared to walk through relevant past work during the interview process. Learning and certification support is available for tools and frameworks directly relevant to the role. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. References may be requested closer to the offer stage rather than at the start of the process. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. 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. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. 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.