Job Description
An opening exists for an AI Learning Solutions Director to join the Artificial Intelligence (AI) vertical, focused on AI Training & Upskilling Programs. This is a senior level opening based out of Kolkata, offered on a full-time basis.
The ideal candidate holds Ph.D (AI) and brings roughly 9 years of hands-on exposure to ai training & upskilling programs. Day-to-day, the work draws heavily on Cloud Platforms (AWS/GCP/Azure), AI Training, Machine Learning, Upskilling Programs, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 27.4-47.9 LPA, in line with market standards for senior level roles within artificial intelligence (ai).
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. The next logical step from this position is a senior or lead-track role within the same function.
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.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Interested candidates should be prepared to walk through relevant past work during the interview process. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. The organisation has historically promoted from within for a majority of its senior and lead openings.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. The package is structured with a fixed component, performance bonus, and standard health coverage.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. References may be requested closer to the offer stage rather than at the start of the process. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
This role offers a genuine opportunity to build depth in AI Training & Upskilling Programs while working alongside an experienced team.
The ideal candidate holds Ph.D (AI) and brings roughly 9 years of hands-on exposure to ai training & upskilling programs. Day-to-day, the work draws heavily on Cloud Platforms (AWS/GCP/Azure), AI Training, Machine Learning, Upskilling Programs, and the person will be expected to apply these skills independently rather than under constant supervision.
Compensation for this position is structured around INR 27.4-47.9 LPA, in line with market standards for senior level roles within artificial intelligence (ai).
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. The next logical step from this position is a senior or lead-track role within the same function.
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.
Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. Interested candidates should be prepared to walk through relevant past work during the interview process. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. The organisation has historically promoted from within for a majority of its senior and lead openings.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. The package is structured with a fixed component, performance bonus, and standard health coverage.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. References may be requested closer to the offer stage rather than at the start of the process. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
This role offers a genuine opportunity to build depth in AI Training & Upskilling Programs while working alongside an experienced team.