Razorpay Strengthens AI Strategy with Senior Engineering Leaders from Microsoft, Salesforce and CRED

Razorpay Expands AI Leadership with Strategic Hires

Razorpay announced four senior engineering leaders from Microsoft, Salesforce, CRED, and Divyam.ai are joining the fintech company to build AI-native financial infrastructure designed for autonomous AI-driven financial systems1

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. The move signals how seriously the company is investing in AI strategy as India's commerce enters an era where AI agents will discover products, negotiate terms, and complete transactions without human intervention.

Senior Engineering Leaders Join Razorpay

Sudhir Reddy, Ex CTO and Co-founder of Divyam.ai, joins Razorpay as its most senior 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 Symantec1

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. Three accomplished engineering leaders join him: Abhishek Agarwal, formerly Principal Group Engineering Manager at Microsoft, Seattle; Bhavya Shivaprakash, formerly Director at Salesforce; and Anuj Mathur, formerly Director at CRED2

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. Together, they bring complementary expertise spanning artificial intelligence, developer platforms, cloud infrastructure, and data engineering.

Building Production-Grade AI at Global Scale

The build-out began in September 2025, when Praburam Rambadran joined as Sr. Vice President - Engineering. 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 tools1

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. 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.

Why This Matters for Financial Infrastructure

Shashank Kumar, CTO and Co-founder at Razorpay, stated: "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"2

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. Praburam Rambadran emphasized the challenge: "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"1

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. The hires focus on depth—people who've shipped production-grade AI in high-stakes financial environments and understand where systems break.

Focus on Trustworthy AI Systems

Sudhir Reddy explained his approach: "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"2

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. This philosophy reflects the company's commitment to building dependable systems by design, not just impressive demos. The expanded AI leadership team will work on Razorpay's capabilities across payments, banking, risk, data, and developer platforms to make these systems more autonomous, scalable, and resilient for businesses that rely on Razorpay every day1

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. Watch for how these autonomous systems handle real-world financial decisions and whether other fintech companies follow suit with similar AI-focused hiring strategies.