Job Description
Artificial Intelligence (AI) is looking for an experienced Senior AI Risk Advisory Specialist to take ownership of the AI-driven Risk Management 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 10 years of progressively senior experience, holding M.Tech (AI/ML), with a demonstrated track record across Statistical Modelling, Neural Network Architectures, Machine Learning, TensorFlow/PyTorch, driven Risk Management. 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 43.4-106.3 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-driven risk management.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. References may be requested closer to the offer stage rather than at the start of the process.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
High performers in this role typically move into a broader ownership scope within 18-24 months. The package is structured with a fixed component, performance bonus, and standard health coverage.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. The organisation has historically promoted from within for a majority of its senior and lead openings.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. 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. Interested candidates should be prepared to walk through relevant past work during the interview process.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
The next logical step from this position is a senior or lead-track role within the same function. Internal job postings are open to employees who've completed a minimum tenure in their current role.
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. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Learning and certification support is available for tools and frameworks directly relevant to the role. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.
The successful candidate will bring approximately 10 years of progressively senior experience, holding M.Tech (AI/ML), with a demonstrated track record across Statistical Modelling, Neural Network Architectures, Machine Learning, TensorFlow/PyTorch, driven Risk Management. 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 43.4-106.3 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-driven risk management.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. References may be requested closer to the offer stage rather than at the start of the process.
Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here.
High performers in this role typically move into a broader ownership scope within 18-24 months. The package is structured with a fixed component, performance bonus, and standard health coverage.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. The organisation has historically promoted from within for a majority of its senior and lead openings.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. 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. Interested candidates should be prepared to walk through relevant past work during the interview process.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held.
There is a defined internal mobility path for people who want to specialise deeper or move into people management. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
The next logical step from this position is a senior or lead-track role within the same function. Internal job postings are open to employees who've completed a minimum tenure in their current role.
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. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Learning and certification support is available for tools and frameworks directly relevant to the role. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band.