Job Description
The organisation is seeking a qualified AI Strategy Practice Head to support ongoing initiatives in AI Strategy & Consulting. This is a senior level opening based out of Gurugram, offered on a leadership - full-time basis.
The ideal candidate holds Ph.D (AI) and brings roughly 9 years of hands-on exposure to ai strategy & consulting. Day-to-day, the work draws heavily on AI Strategy, Python, Cloud Platforms (AWS/GCP/Azure), Model Deployment (MLOps), and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 16.0-63.2 LPA, in line with market standards for senior level roles within artificial intelligence (ai).
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The package is structured with a fixed component, performance bonus, and standard health coverage.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
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.
The organisation has historically promoted from within for a majority of its senior and lead openings. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
The next logical step from this position is a senior or lead-track role within the same function. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Internal job postings are open to employees who've completed a minimum tenure in their current role.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. 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. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
This role offers a genuine opportunity to build depth in AI Strategy & Consulting while working alongside an experienced team.
The ideal candidate holds Ph.D (AI) and brings roughly 9 years of hands-on exposure to ai strategy & consulting. Day-to-day, the work draws heavily on AI Strategy, Python, Cloud Platforms (AWS/GCP/Azure), Model Deployment (MLOps), and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 16.0-63.2 LPA, in line with market standards for senior level roles within artificial intelligence (ai).
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The package is structured with a fixed component, performance bonus, and standard health coverage.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
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.
The organisation has historically promoted from within for a majority of its senior and lead openings. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
The next logical step from this position is a senior or lead-track role within the same function. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Internal job postings are open to employees who've completed a minimum tenure in their current role.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. 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. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
This role offers a genuine opportunity to build depth in AI Strategy & Consulting while working alongside an experienced team.