Kamal K.

I am a seasoned technology and AI leader with 20+ years of experience building enterprise platforms and global teams across wealth management, capital markets, consumer internet, travel and consulting. My work has evolved from low-latency systems to data platforms, ML/MLOps, GenAI and agentic AI, with a focus on helping business and technology leaders identify where AI can create measurable value, prioritise use cases, align investment, and build the platforms, teams and governance needed to deliver at scale. I currently serve as Chief AI & Technology Officer at Centricity WealthTech, where I am part of the core leadership team and work with the founders on AI, technology and product strategy. I joined at the seed stage and have been part of the company’s journey into Series A, leading AI, engineering, platforms, security and core systems. My focus is building an AI-native Wealth OS: a common multi-asset, multi-product foundation across retail distribution, private banking, insurance, broking and NRI / GIFT City businesses, with an agentic intelligence layer across investor, distributor and RM journeys. I am also establishing the enterprise AI harness for production-grade agentic systems, including evaluation, guardrails, governance, observability, security and responsible AI.Before Centricity, I led AI Engineering at Tata Digital across Tata Neu and the group’s commerce, lending, insurance and payments businesses at 180M+ customer scale. The charter spanned AI/ML and LLM platforms, customer intelligence, natural-language analytics, RAG and grounded agents, conversational and voice AI, and risk intelligence. A significant part of my career has involved global capability centres. At Expedia, I was India Site Lead for Hotwire while leading a 120+ global Data Platforms, Analytics and ML organisation. At Markit, now part of S&P Global, I started the iBoxx indices engineering capability in India and later led a 120+ team across India, Frankfurt and New York. At NatWest, formerly RBS, I worked on front-office trading technology and low-latency systems. At Thoughtworks and Nagarro, I built Data & AI practices for global clients, scaling one from 10 to 150+ and the other from 0 to 350+. Across these roles, I have owned charters spanning P&L, budgets, presales, hiring, capability growth and client engagement. I stay close to architecture and key engineering decisions while building strong teams, developing leaders and creating clear ownership. I write and speak on agentic AI, enterprise AI, modern data platforms and AI-native wealth management.