AI Strategy & Business Integration

Chief AI Strategy Officer

  • Mizoram
  • ₹5,180,000 - ₹11,240,000
  • Part Time Job

Job Description

Machine Learning is looking for an experienced Chief AI Strategy Officer to take ownership of the AI Strategy & Business Integration charter at a senior level. This is a role for someone who has already operated at scale and is comfortable setting direction rather than simply following one.

The successful candidate will bring approximately 12 years of progressively senior experience, holding Ph.D (ML/AI), with a demonstrated track record across TensorFlow/PyTorch, Business Integration, AI Strategy, Deep Learning, Cloud Platforms (AWS/GCP). Beyond individual capability, this role expects the person to mentor junior team members and represent the function in cross-departmental discussions.

Reporting relationships will be defined based on the final scope agreed at offer stage, and the role is based out of Hybrid - Bengaluru on a full-time arrangement. Compensation is benchmarked at INR 51.8-112.4 LPA, reflecting the seniority and scope of the position.

Success in this role will be measured less by task completion and more by the quality of judgement applied to ambiguous, high-stakes situations within ai strategy & business integration.

Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.

In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.

Interested candidates should be prepared to walk through relevant past work during the interview process. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.

A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.

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. High performers in this role typically move into a broader ownership scope within 18-24 months.

Learning and certification support is available for tools and frameworks directly relevant to the role. There is a defined internal mobility path for people who want to specialise deeper or move into people management. 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. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.

Most days include at least one review checkpoint where progress is discussed against the plan for the week. 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.

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.

The role alternates between independent deep work and short coordination huddles with stakeholders across functions. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.

Compensation includes standard statutory benefits along with performance-linked variable pay. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.

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