
Razorpay has hired four senior engineering executives from major technology companies as part of its strategic push to build AI-driven financial infrastructure. The fintech firm announced the appointments of Sudhir Reddy from Divyam.ai, Abhishek Agarwal from Microsoft, Bhavya Shivaprakash from Salesforce, and Anuj Mathur from CRED. According to reports from Business Standard, these hires reflect Razorpay's strategy to become an AI-first platform where payment systems increasingly make decisions rather than simply process transactions. As reported by Razorpay, these leadership hires are a direct response to India's commerce entering a new era with AI, where payment systems will increasingly discover products, negotiate terms, and complete transactions autonomously.
Sudhir Reddy, CTO and co-founder of Divyam.ai, joins as the senior-most individual contributor, leading AI and data architecture. As reported by Business Standard, Reddy brings nearly two decades of experience building large-scale AI platforms and enterprise systems, including leadership roles at Flipkart, Yahoo and Symantec. The three additional senior engineering leaders bring complementary expertise spanning artificial intelligence, developer platforms, cloud infrastructure and data engineering, which Razorpay needs as it builds towards autonomous, agent-driven financial systems. Abhishek Agarwal joins from Microsoft Seattle as Principal Group Engineering Manager, Bhavya Shivaprakash brings experience as Director at Salesforce, and Anuj Mathur previously served as Director at CRED. According to Razorpay, these leaders combine deep AI expertise with proven business execution to operationalise AI at scale across India.
According to Business Standard, Shashank Kumar, CTO and co-founder of Razorpay, emphasized that the next decade of financial infrastructure will be built differently from the last. Kumar stated that software will increasingly reason, decide and act on behalf of businesses, requiring a fundamentally different engineering organization that combines AI expertise, large-scale engineering experience and strong product mindset. As reported by Razorpay, the company believes this experience will help accelerate their ambition of building AI-native financial infrastructure for businesses around the world. Kumar noted that the next decade of financial infrastructure will be built very differently from the last, with software increasingly reasoning, deciding and acting on behalf of businesses rather than simply helping them operate.
As reported by Business Standard, the engineering 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, the company has shipped Agentic Payments, Agent Studio, Agentic Dashboard and Onboarding, Connected Banking Agents, and a growing suite of internal AI-native developer tools. According to Praburam Rambadran, senior vice-president of engineering, getting AI into production at financial scale is a challenging problem requiring depth in data quality, system reliability and judgement under real constraints. 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.