Job Description
Here's the deal: we need an AI Policy & Governance Executive who can hit the ground running on AI Ethics & Governance work.
You'll be working out of Bhubaneswar (contract), and honestly, the day-to-day is going to revolve around AI Ethics and Python. We're not looking for someone who just ticks boxes - we want someone who actually cares about ai ethics & governance.
On paper, we'd expect M.Tech (AI/ML) and somewhere around 0 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 9.7-26.5 LPA - fair for the junior level band and open to discussion based on what you bring.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
The next logical step from this position is a senior or lead-track role within the same function. High performers in this role typically move into a broader ownership scope within 18-24 months. The organisation has historically promoted from within for a majority of its senior and lead openings.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. 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.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.
You'll be working out of Bhubaneswar (contract), and honestly, the day-to-day is going to revolve around AI Ethics and Python. We're not looking for someone who just ticks boxes - we want someone who actually cares about ai ethics & governance.
On paper, we'd expect M.Tech (AI/ML) and somewhere around 0 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 9.7-26.5 LPA - fair for the junior level band and open to discussion based on what you bring.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
The next logical step from this position is a senior or lead-track role within the same function. High performers in this role typically move into a broader ownership scope within 18-24 months. The organisation has historically promoted from within for a majority of its senior and lead openings.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work.
Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. 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.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding.