Job Description
**Q: What qualification is expected?**
A: M.Sc (Data Science) or an equivalent, relevant qualification.
**Q: Where is this based?**
A: Gurugram, on a leadership - full-time basis.
**Q: What is this role about?**
A: We're hiring a AI Architect to work within AI Research & Development, part of the Artificial Intelligence (AI) function.
**Q: What experience is required?**
A: Around 10 years, consistent with a senior level profile.
**Q: What does compensation look like?**
A: INR 23.8-71.0 LPA, depending on experience and interview performance.
**Q: What skills matter most?**
A: AI Research, Python, Development, Neural Network Architectures, Model Deployment (MLOps), Cloud Platforms (AWS/GCP/Azure), Statistical Modelling.
**Q: What's the team like?**
A: Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
**Q: What's the interview process like?**
A: References may be requested closer to the offer stage rather than at the start of the process.
**Q: What does a typical day look like?**
A: Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
**Q: Is there room to grow?**
A: Internal job postings are open to employees who've completed a minimum tenure in their current role.
A: M.Sc (Data Science) or an equivalent, relevant qualification.
**Q: Where is this based?**
A: Gurugram, on a leadership - full-time basis.
**Q: What is this role about?**
A: We're hiring a AI Architect to work within AI Research & Development, part of the Artificial Intelligence (AI) function.
**Q: What experience is required?**
A: Around 10 years, consistent with a senior level profile.
**Q: What does compensation look like?**
A: INR 23.8-71.0 LPA, depending on experience and interview performance.
**Q: What skills matter most?**
A: AI Research, Python, Development, Neural Network Architectures, Model Deployment (MLOps), Cloud Platforms (AWS/GCP/Azure), Statistical Modelling.
**Q: What's the team like?**
A: Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
**Q: What's the interview process like?**
A: References may be requested closer to the offer stage rather than at the start of the process.
**Q: What does a typical day look like?**
A: Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
**Q: Is there room to grow?**
A: Internal job postings are open to employees who've completed a minimum tenure in their current role.