Job Description
**Director – AI Security & Risk** | Coimbatore | Leadership - Full-time | INR 10.3-35.3 LPA
**About the role:**
- Position within AI Security & Privacy, under the Artificial Intelligence (AI) vertical
- Level: senior level
- Reports to the functional head for AI Security & Privacy
**What you'll do:**
- Handle core ai security & privacy activities on a day-to-day basis
- Use AI Security regularly as part of core deliverables
- Work closely with adjacent teams to align priorities
- Track progress against agreed timelines and escalate issues proactively
**What you'll need:**
- AI Security
- Privacy
- Neural Network Architectures
- Machine Learning
- Natural Language Processing
- Model Deployment (MLOps)
- M.Sc (Data Science)
- 11+ years of relevant experience
**Good to know:**
- Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. References may be requested closer to the offer stage rather than at the start of the process.
- 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. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. 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. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
- There is a defined internal mobility path for people who want to specialise deeper or move into people management. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. 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. 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.
- The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. The next logical step from this position is a senior or lead-track role within the same function. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
- Compensation includes standard statutory benefits along with performance-linked variable pay. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
- A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Learning and certification support is available for tools and frameworks directly relevant to the role.
- Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
- No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
- Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. High performers in this role typically move into a broader ownership scope within 18-24 months.
**About the role:**
- Position within AI Security & Privacy, under the Artificial Intelligence (AI) vertical
- Level: senior level
- Reports to the functional head for AI Security & Privacy
**What you'll do:**
- Handle core ai security & privacy activities on a day-to-day basis
- Use AI Security regularly as part of core deliverables
- Work closely with adjacent teams to align priorities
- Track progress against agreed timelines and escalate issues proactively
**What you'll need:**
- AI Security
- Privacy
- Neural Network Architectures
- Machine Learning
- Natural Language Processing
- Model Deployment (MLOps)
- M.Sc (Data Science)
- 11+ years of relevant experience
**Good to know:**
- Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. References may be requested closer to the offer stage rather than at the start of the process.
- 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. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. 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. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
- There is a defined internal mobility path for people who want to specialise deeper or move into people management. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. 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. 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.
- The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. The next logical step from this position is a senior or lead-track role within the same function. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
- Compensation includes standard statutory benefits along with performance-linked variable pay. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
- A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Learning and certification support is available for tools and frameworks directly relevant to the role.
- Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
- No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
- Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. High performers in this role typically move into a broader ownership scope within 18-24 months.