Job Description
We are looking to onboard a Chief AI & BI Officer to strengthen our AI for Business Intelligence function within Artificial Intelligence (AI). This is a senior level opening based out of Coimbatore, offered on a full-time basis.
The ideal candidate holds M.Tech (AI/ML) and brings roughly 13 years of hands-on exposure to ai for business intelligence. Day-to-day, the work draws heavily on Neural Network Architectures, Computer Vision, Cloud Platforms (AWS/GCP/Azure), 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 17.8-82.8 LPA, in line with market standards for senior level roles within artificial intelligence (ai).
High performers in this role typically move into a broader ownership scope within 18-24 months. 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.
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. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Interested candidates should be prepared to walk through relevant past work during the interview process.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Learning and certification support is available for tools and frameworks directly relevant to the role.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Internal job postings are open to employees who've completed a minimum tenure in their current role. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
The next logical step from this position is a senior or lead-track role within the same function. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. The package is structured with a fixed component, performance bonus, and standard health coverage.
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 organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
This role offers a genuine opportunity to build depth in AI for Business Intelligence while working alongside an experienced team.
The ideal candidate holds M.Tech (AI/ML) and brings roughly 13 years of hands-on exposure to ai for business intelligence. Day-to-day, the work draws heavily on Neural Network Architectures, Computer Vision, Cloud Platforms (AWS/GCP/Azure), 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 17.8-82.8 LPA, in line with market standards for senior level roles within artificial intelligence (ai).
High performers in this role typically move into a broader ownership scope within 18-24 months. 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.
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. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Interested candidates should be prepared to walk through relevant past work during the interview process.
Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Learning and certification support is available for tools and frameworks directly relevant to the role.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Internal job postings are open to employees who've completed a minimum tenure in their current role. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
The next logical step from this position is a senior or lead-track role within the same function. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. The package is structured with a fixed component, performance bonus, and standard health coverage.
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 organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
This role offers a genuine opportunity to build depth in AI for Business Intelligence while working alongside an experienced team.