Job Description
We're hiring a Senior AI Dialogue Systems Architect to join our growing Conversational AI team - if this sounds like your kind of work, read on.
You'll be working out of Hybrid - Bengaluru (hybrid), and honestly, the day-to-day is going to revolve around Python and Computer Vision. We're not looking for someone who just ticks boxes - we want someone who actually cares about conversational ai.
On paper, we'd expect Ph.D (AI) and somewhere around 9 years of experience, but we're just as interested in how you think as in what's on your resume.
Pay-wise, we're offering INR 54.1-85.7 LPA - fair for the senior level band and open to discussion based on what you bring.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
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.
Internal job postings are open to employees who've completed a minimum tenure in their current role. The package is structured with a fixed component, performance bonus, and standard health coverage.
The next logical step from this position is a senior or lead-track role within the same function. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
Most days include at least one review checkpoint where progress is discussed against the plan for the week. References may be requested closer to the offer stage rather than at the start of the process.
High performers in this role typically move into a broader ownership scope within 18-24 months. The organisation has historically promoted from within for a majority of its senior and lead openings.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Compensation includes standard statutory benefits along with performance-linked variable pay.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. 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.
Learning and certification support is available for tools and frameworks directly relevant to the role. Interested candidates should be prepared to walk through relevant past work during the interview process. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
You'll be working out of Hybrid - Bengaluru (hybrid), and honestly, the day-to-day is going to revolve around Python and Computer Vision. We're not looking for someone who just ticks boxes - we want someone who actually cares about conversational ai.
On paper, we'd expect Ph.D (AI) and somewhere around 9 years of experience, but we're just as interested in how you think as in what's on your resume.
Pay-wise, we're offering INR 54.1-85.7 LPA - fair for the senior level band and open to discussion based on what you bring.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable.
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.
Internal job postings are open to employees who've completed a minimum tenure in their current role. The package is structured with a fixed component, performance bonus, and standard health coverage.
The next logical step from this position is a senior or lead-track role within the same function. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
Most days include at least one review checkpoint where progress is discussed against the plan for the week. References may be requested closer to the offer stage rather than at the start of the process.
High performers in this role typically move into a broader ownership scope within 18-24 months. The organisation has historically promoted from within for a majority of its senior and lead openings.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Compensation includes standard statutory benefits along with performance-linked variable pay.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. 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.
Learning and certification support is available for tools and frameworks directly relevant to the role. Interested candidates should be prepared to walk through relevant past work during the interview process. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.