Razorpay announced a step towards an AI-native future: four Sr. engineering leaders from Microsoft, Salesforce, CRED, and Divyam.ai are joining the company to build the next generation of financial infrastructure - one built for a world where payment systems increasingly make decisions, not just process them. As an AI-first company, Razorpay is bringing leaders who combine deep AI expertise with proven business execution to operationalise AI at scale across India.
India’s Commerce is entering a new era with AI. Increasingly, it won't just be people clicking ‘buy’ - it will be AI agents discovering products, negotiating terms, and completing transactions autonomously. Razorpay's leadership hires are a direct response to that shift and a signal of how seriously the company is investing in readiness for it.
Sudhir Reddy, Ex CTO & Co-founder of Divyam.ai, joins Razorpay as its Sr.-most individual contributor, leading AI and Data architecture. He brings nearly two decades of experience building large-scale AI platforms and enterprise systems, including leadership roles at Flipkart, Yahoo, and Symantec.
Three accomplished engineering leaders join him:
● Abhishek Agarwal, formerly Principal Group Engineering Manager at Microsoft, Seattle
● Bhavya Shivaprakash, formerly Sr. Director at Salesforce
● Anuj Mathur, formerly Sr. Director at CRED
Together, the four bring complementary expertise spanning artificial intelligence, developer platforms, cloud infrastructure, and data engineering - exactly the mix Razorpay needs as it builds toward autonomous, agent-driven financial systems.
Building on Momentum: The build-out began in September 2025, when Praburam Rambadran joined as Sr. Vice President - Engineering to help shape Razorpay's engineering direction. Since then, Razorpay has shipped Agentic Payments, Agent Studio, Agentic Dashboard and Onboarding, Connected Banking Agents, and a growing suite of internal AI-native developer tools. These new hires mark the next chapter - doubling down on AI, data, cloud infrastructure, and developer platforms to power intelligent financial decision-making at global scale.
AI isn’t a feature at Razorpay - it’s foundational. Embedded across payments, banking, fraud prevention, reconciliation, merchant operations, and customer experience, AI is reshaping how businesses interact with financial services. The expanded engineering leadership team will build the intelligent infrastructure powering this transformation.
Shashank Kumar, CTO & Co-founder, Razorpay: "The next decade of financial infrastructure will be built very differently from the last. We believe software won't just help businesses operate - it will increasingly reason, decide, and act on their behalf. That requires a fundamentally different engineering organisation, one that combines AI expertise, large-scale engineering experience, and a strong product mindset. We're really excited to welcome leaders who've built some of the sophisticated technology platforms at scale - their experience will help us accelerate our ambition of building AI-native financial infrastructure for businesses around the world."
Praburam Rambadran, Sr. Vice President - Engineering, Razorpay: "Getting AI into production at financial scale is a hard, unglamorous problem - it's about data quality, system reliability, and judgment under real constraints, not just model capability. That's why we hired for depth: people who've actually shipped AI in high-stakes environments and know where it breaks. Sudhir, Abhishek, Bhavya and Anuj have each done this before, at scale, at Divyam.ai, Microsoft, Salesforce and CRED. Adding them to the team lets us move faster on the engineering work that agentic commerce is going to demand."
Sudhir Reddy, Ex CTO & Co-founder, Divyam.ai said, "I've always believed AI earns its place not by being clever, but by being trustworthy - and nowhere is that tested more than in financial systems, where every decision carries real consequences for real businesses. That's the kind of AI I want to help build at Razorpay: dependable by design, not just impressive in a demo. I'm looking forward to building the data and AI architecture this next chapter of Razorpay needs."
What Comes Next: Together, the new leadership team will work on Razorpay's AI capabilities across payments, banking, risk, data, and developer platforms, to make these systems more autonomous, scalable, and resilient for the businesses that rely on Razorpay every day. It's a step toward financial infrastructure that can increasingly support decisions, not just process transactions.
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