Job Description
Here's the deal: we need a Head of AI Cybersecurity Engineering who can hit the ground running on AI for Cybersecurity work.
You'll be working out of Chennai (hybrid), and honestly, the day-to-day is going to revolve around Python and Computer Vision/NLP Basics. We're not looking for someone who just ticks boxes - we want someone who actually cares about ai for cybersecurity.
On paper, we'd expect M.Sc (Data Science) and somewhere around 9 years of experience, but we're just as interested in how you think as in what's on your resume.
Pay-wise, we're offering INR 48.0-94.6 LPA - fair for the senior level band and open to discussion based on what you bring.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
High performers in this role typically move into a broader ownership scope within 18-24 months. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Compensation includes standard statutory benefits along with performance-linked variable pay.
The organisation has historically promoted from within for a majority of its senior and lead openings. 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.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The package is structured with a fixed component, performance bonus, and standard health coverage.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
You'll be working out of Chennai (hybrid), and honestly, the day-to-day is going to revolve around Python and Computer Vision/NLP Basics. We're not looking for someone who just ticks boxes - we want someone who actually cares about ai for cybersecurity.
On paper, we'd expect M.Sc (Data Science) and somewhere around 9 years of experience, but we're just as interested in how you think as in what's on your resume.
Pay-wise, we're offering INR 48.0-94.6 LPA - fair for the senior level band and open to discussion based on what you bring.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
High performers in this role typically move into a broader ownership scope within 18-24 months. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Compensation includes standard statutory benefits along with performance-linked variable pay.
The organisation has historically promoted from within for a majority of its senior and lead openings. 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.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. The package is structured with a fixed component, performance bonus, and standard health coverage.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Relocation assistance may be extended for candidates moving from a different city, subject to approval.
The role alternates between independent deep work and short coordination huddles with stakeholders across functions. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. There is a defined internal mobility path for people who want to specialise deeper or move into people management. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.