Vishnu Tej

Retirement systems have always been defined by their complexity — thousands of plan rules, millions of participant records, and an unbroken chain of transactions where every calculation carries a fiduciary consequence. Vishnu Tej has spent 15 years at Convergent mastering that complexity from the inside out, leading the firm's technology development across its most demanding engagements. Today, as Convergent's Chief AI Architect, he is doing something few in the industry have attempted: rebuilding the intelligence layer of retirement systems from the ground up — using AI not as a feature, but as the architecture itself.

Tej's work sits at the leading edge of agentic AI applied to retirement processing. Where traditional automation executes fixed rules, Tej architects multi-agent systems — networks of specialized AI agents that reason across plan documents, regulatory requirements, payroll data, and participant behavior to autonomously resolve exceptions, flag compliance risks, and optimize processing workflows that once required armies of analysts. His agents don't just surface information — they act: routing corrections, triggering downstream processes, and learning from each cycle to improve the next. He has applied this thinking to complete rearchitectures of complex retirement systems at major organizations, replacing brittle legacy logic with adaptive, AI-native architectures built for a rapidly evolving regulatory landscape.

In an industry where the stakes of getting it wrong are measured in participants' retirement security, Tej brings the rare combination of deep retirement domain knowledge and frontier AI architecture expertise that makes genuinely transformative outcomes possible.