Manager – Enterprise Partnerships

Razorpay recruits AI experts from Microsoft, Salesforce, and CRED to develop an advanced commerce platform. Table of Contents Razorpay expands AI leadership with strategic new hires. Fintech unicorn Razorpay has bolstered its artificial intelligence (AI) division by enlisting senior engineering talent from industry leaders such as Microsoft, Salesforce, CRED, and the AI startup Divyam.ai. This strategic move underscores the company's commitment to developing AI-centric financial infrastructure, poised for the evolving landscape of agentic commerce. On Tuesday, Razorpay announced that Sudhir Reddy, the former CTO and co-founder of Divyam.ai, will step in as the senior-most individual contributor, spearheading AI and data architecture initiatives. Joining him are Abhishek Agarwal, who previously held the position of Principal Group Engineering Manager at Microsoft; Bhavya Shivaprakash, a former Senior Director at Salesforce; and Anuj Mathur, ex-Senior Director at CRED. These appointments are pivotal as Razorpay gears up for a future where AI agents assume a proactive role - initiating purchases, negotiating transactions, and executing payments with minimal human intervention. Anticipating a paradigm shift in financial infrastructure. "The next decade of financial infrastructure will be constructed notably differently from the previous one," stated Shashank Kumar, co-founder and CTO of Razorpay. "Software will no longer merely assist businesses in their operations; it will increasingly possess the capability to reason, decide, and act on behalf of enterprises." This recent recruitment drive enhances the company's AI-centric engineering initiatives, which commenced last year with the appointment of Praburam Rambadran as Senior Vice President of Engineering. Since then, Razorpay has unveiled a suite of products, encompassing Agentic Payments, Agent Studio, and Connected Banking Agents, along with a collection of AI-native developer tools aimed at integrating artificial intelligence into its overarching financial services platform. Fostering autonomy in financial systems. The enlarged engineering team is set to enhance AI functionalities across various domains, including payments, banking, fraud prevention, risk management, and data infrastructure. The ultimate goal is to cultivate financial systems that are not only more autonomous but also scalable and resilient. Rambadran emphasized that scaling AI within financial contexts entails more than just the application of large language models. He pointed out that data quality, system reliability, and operational judgment are indispensable components of production-grade AI systems. The newly assembled leadership team has been selected for their expertise in designing AI platforms within large-scale, high-stakes settings. A shifting landscape in India's fintech sector. This development reflects a broader transition within India's fintech domain as enterprises progress beyond deploying AI as mere assistants, toward creating infrastructures that support autonomous financial decision-making. Rather than viewing AI as an isolated function, fintech firms are increasingly intertwining it into payments, banking, fraud detection, and merchant operations, thereby automating intricate workflows and enhancing operational efficacy. Razorpay's latest leadership appointments signify that the forthcoming competitive landscape may hinge more on engineering teams specifically tailored for AI-native financial services than on traditional software development methodologies.

Razorpay boosts AI push with senior hires from Microsoft, Salesforce, Cred. Executives will help build payment systems that can increasingly make decisions using artificial intelligence, says the company. Razorpay is hiring four senior engineering executives from Microsoft, Salesforce, Cred and Divyam.ai as it pushes to build AI-driven financial infrastructure for businesses. The firm said the hires reflect its strategy to become an AI-first platform, where payment systems increasingly make decisions rather than simply process transactions. The executives are expected to help deploy artificial intelligence (AI) at scale across the company's products and operations in India. Sudhir Reddy, CTO and co-founder of Divyam.ai, joins Razorpay, will lead 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. Other three senior engineering leaders: Abhishek Agarwal, formerly a principal group engineering manager at Microsoft in Seattle; Bhavya Shivaprakash, formerly a senior director at Salesforce; and Anuj Mathur, formerly a senior director at Cred. Together, the four bring expertise spanning AI, developer platforms, cloud infrastructure, and data engineering. Razorpay needs this expertise as it builds toward autonomous, agent-driven financial systems. "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," said Shashank Kumar, chief technology officer (CTO) and cofounder, Razorpay. "That requires a fundamentally different engineering organisation, one that combines AI expertise, large-scale engineering experience, and a strong product mindset. The experience of these leaders will help us accelerate our ambition of building AI-native financial infrastructure for businesses around the world." Getting AI into production at a 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. Adding them to the team lets us move faster on the engineering work that agentic commerce is going to demand." said Praburam Rambadran, senior vice president, engineering, Razorpay. 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. The build-out began in September 2025, when Praburam Rambadran joined as senior vice president for 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. "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." said Sudhir Reddy, CTO and co-founder, Divyam.ai.