Job Description
We are looking to onboard an AI Solutions Director to strengthen our AI Strategy & Consulting function within Artificial Intelligence (AI). This is a senior level opening based out of Pune, offered on a full-time basis.
The ideal candidate holds M.Sc (Data Science) and brings roughly 10 years of hands-on exposure to ai strategy & consulting. Day-to-day, the work draws heavily on Computer Vision, Consulting, Machine Learning, Python, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 17.1-46.4 LPA, in line with market standards for senior level roles within artificial intelligence (ai).
Interested candidates should be prepared to walk through relevant past work during the interview process. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. 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. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
References may be requested closer to the offer stage rather than at the start of the process. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Internal job postings are open to employees who've completed a minimum tenure in their current role. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. High performers in this role typically move into a broader ownership scope within 18-24 months.
Compensation includes standard statutory benefits along with performance-linked variable pay. The next logical step from this position is a senior or lead-track role within the same function. The organisation has historically promoted from within for a majority of its senior and lead openings.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Learning and certification support is available for tools and frameworks directly relevant to the role. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
The package is structured with a fixed component, performance bonus, and standard health coverage. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
This is a good fit for someone who wants real ownership rather than a purely execution-only role.
The ideal candidate holds M.Sc (Data Science) and brings roughly 10 years of hands-on exposure to ai strategy & consulting. Day-to-day, the work draws heavily on Computer Vision, Consulting, Machine Learning, Python, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 17.1-46.4 LPA, in line with market standards for senior level roles within artificial intelligence (ai).
Interested candidates should be prepared to walk through relevant past work during the interview process. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. 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. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
References may be requested closer to the offer stage rather than at the start of the process. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Internal job postings are open to employees who've completed a minimum tenure in their current role. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. High performers in this role typically move into a broader ownership scope within 18-24 months.
Compensation includes standard statutory benefits along with performance-linked variable pay. The next logical step from this position is a senior or lead-track role within the same function. The organisation has historically promoted from within for a majority of its senior and lead openings.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Learning and certification support is available for tools and frameworks directly relevant to the role. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
The package is structured with a fixed component, performance bonus, and standard health coverage. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
This is a good fit for someone who wants real ownership rather than a purely execution-only role.