Job Description
Artificial Intelligence (AI) is looking for an experienced AI Research Director – Generative Models to take ownership of the Generative AI 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 9 years of progressively senior experience, holding M.Tech (AI/ML), with a demonstrated track record across Natural Language Processing, Generative AI, Model Deployment (MLOps), Machine Learning, Python. 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 Bhubaneswar on a hybrid arrangement. Compensation is benchmarked at INR 16.9-42.7 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 generative ai.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. 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. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
High performers in this role typically move into a broader ownership scope within 18-24 months. 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 next logical step from this position is a senior or lead-track role within the same function. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The organisation has historically promoted from within for a majority of its senior and lead openings.
The successful candidate will bring approximately 9 years of progressively senior experience, holding M.Tech (AI/ML), with a demonstrated track record across Natural Language Processing, Generative AI, Model Deployment (MLOps), Machine Learning, Python. 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 Bhubaneswar on a hybrid arrangement. Compensation is benchmarked at INR 16.9-42.7 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 generative ai.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. 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. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
High performers in this role typically move into a broader ownership scope within 18-24 months. 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 next logical step from this position is a senior or lead-track role within the same function. Most days include at least one review checkpoint where progress is discussed against the plan for the week. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The organisation has historically promoted from within for a majority of its senior and lead openings.