Associate Director - AI Machine Learning

Razorpay • Bengaluru • Hybrid • Full-time • Publish Date:

Salary Range₹28L - ₹48L / yr
DepartmentSoftware Engineering
Experience Needed10 - 18 Years (Lead / Director)
Applicants19 Candidates

About the Role

Razorpay invites applications for the Associate Director - AI Machine Learning position at its Bengaluru center (India). Anchored in the Software Engineering group, this role combines hands-on execution across portfolio prioritization, resource allocation, and margin expansion with strategic accountability for strategic program velocity, delivery margin, and customer NPS.

In day-to-day execution, the Associate Director - AI Machine Learning partners closely with regional delivery directors, finance partners, and product sponsors to translate quarterly business priorities into talent succession pipelines and high-performing leadership pods. You will leverage Financial Modeling & Forecasting and Executive BI Dashboards alongside core competencies in Machine Learning, Executive Leadership, P&L Ownership, Strategic Roadmap to maintain high operational rigor.

The Associate Director - AI Machine Learning position at Razorpay (Bengaluru) carries an annual CTC range of ₹28L – ₹48L per annum (approx. ₹2,33,333 – ₹4,00,000 per month gross), benchmarked to leadership / senior management standards in Software Engineering.

Key Responsibilities

  • Architect, develop, and scale mission-critical software solutions and distributed systems for Razorpay.
  • Collaborate with Product Management, DevOps, and QA teams to define scalable architecture patterns.
  • Champion engineering excellence through thorough code reviews, unit testing, and continuous deployment.
  • Drive performance tuning, latency optimization, and robust API design.

Required Qualifications & Technical Stack

  • 10–18 years of hands-on professional experience in relevant domain.
  • Bachelor's / Master's degree in engineering or relevant academic discipline.
  • Proven track record in driving scalable results, team leadership, and stakeholder management.
  • Strong analytical problem-solving capabilities and exceptional communication skills.

Preferred / Bonus Qualifications

  • Prior exposure to scaling high-impact client and executive stakeholder charters within Software Engineering teams in Bengaluru or comparable Indian enterprise hubs.
  • Familiarity with automation workflows, Financial Modeling & Forecasting and Executive BI Dashboards, and modern reporting standards.
  • Experience mentoring cross-functional contributors or managing end-to-end delivery SLAs.

Core Technologies & Tools

Machine Learning, Executive Leadership, P&L Ownership, Strategic Roadmap, Enterprise Governance, Stakeholder Alignment, Organizational Scaling

Salary & Compensation Breakdown

Annual CTC Range: ₹28L - ₹48L / yr • Experience Benchmark: 10 - 18 Years (Lead / Director)

Annual CTC is structured between ₹28 Lakhs and ₹48 Lakhs per annum (approx. ₹2,33,333 – ₹4,00,000/month) based on interview performance, Machine Learning & Executive Leadership depth, and 10 to 18 years of progressive experience. Package includes fixed base pay, statutory provident fund, medical insurance, and performance-linked incentives at Razorpay.

Perks & Benefits: Comprehensive Medical Insurance • Flexible Work / Remote Options • Annual Performance Bonus • Learning & Development Stipend • Stock Options / Wellness Benefits

Work Location & Regional Hub — Bengaluru (Hybrid)

This Associate Director - AI Machine Learning opening is based in Bengaluru, India under a Hybrid work arrangement. Candidates located in Bengaluru or willing to operate from the Bengaluru regional corridor will collaborate directly with Razorpay's Software Engineering unit during standard Indian business hours.

Browse all verified jobs in Bengaluru →

About Razorpay — Company Profile & Details

Razorpay is a verified employer operating within the Software Engineering and enterprise solutions ecosystem with active delivery operations in Bengaluru, India. Known for structured execution across portfolio prioritization, resource allocation, and margin expansion, Razorpay partners with regional delivery directors, finance partners, and product sponsors to build resilient products, client services, and sustainable career pathways for leadership / senior management professionals.

Industry / Practice: Software Engineering • Regional Hub: Bengaluru, India, India • Verification: GST & KYC Verified Employer

How to Apply for Associate Director - AI Machine Learning at Razorpay

  1. Click "Apply Now" on this page and verify your candidate profile, contact details, and updated resume highlighting Machine Learning, Executive Leadership, P&L Ownership.
  2. Complete the role-readiness screening check confirming your 10 to 18 years of progressive experience and availability for the Bengaluru (Hybrid) mandate.
  3. Shortlisted profiles undergo a structured evaluation with Razorpay's Software Engineering hiring panel focused on talent succession pipelines and high-performing leadership pods and practical problem-solving.
  4. Final discussion with Razorpay leadership covering role expectations, onboarding timeline in Bengaluru, and the ₹28L – ₹48L / yr compensation package.