Job Description
We are looking to onboard an AI Strategy & Transformation Consultant to strengthen our AI Strategy & Consulting function within Artificial Intelligence (AI). This is a mid level opening based out of Mumbai, offered on a contract basis.
The ideal candidate holds B.Tech (CS/AI) and brings roughly 5 years of hands-on exposure to ai strategy & consulting. Day-to-day, the work draws heavily on Deep Learning, Consulting, AI Strategy, 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 12.6-34.6 LPA, in line with market standards for mid level roles within artificial intelligence (ai).
Learning and certification support is available for tools and frameworks directly relevant to the role. The next logical step from this position is a senior or lead-track role within the same function.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. 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 package is structured with a fixed component, performance bonus, and standard health coverage. References may be requested closer to the offer stage rather than at the start of the process. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. 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.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. 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.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. High performers in this role typically move into a broader ownership scope within 18-24 months.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
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.
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.
This is a good fit for someone who wants real ownership rather than a purely execution-only role.
The ideal candidate holds B.Tech (CS/AI) and brings roughly 5 years of hands-on exposure to ai strategy & consulting. Day-to-day, the work draws heavily on Deep Learning, Consulting, AI Strategy, 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 12.6-34.6 LPA, in line with market standards for mid level roles within artificial intelligence (ai).
Learning and certification support is available for tools and frameworks directly relevant to the role. The next logical step from this position is a senior or lead-track role within the same function.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. 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 package is structured with a fixed component, performance bonus, and standard health coverage. References may be requested closer to the offer stage rather than at the start of the process. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. 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.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. 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.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. High performers in this role typically move into a broader ownership scope within 18-24 months.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
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.
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.
This is a good fit for someone who wants real ownership rather than a purely execution-only role.