I'm Arun Bhagavath Varatharajan, an Enterprise AI & Agentic AI Solution Architect with 16+ years of experience connecting modern AI engineering with secure, scalable business transformation.
I design enterprise AI solutions across healthcare, pharmaceutical operations, financial services and investment management. My work spans retrieval-augmented generation, intelligent document processing, agentic workflows, integration architecture, human oversight and responsible deployment.
Previously, as Associate Director of an Intelligent Automation Center of Excellence in Singapore, I helped scale a portfolio of more than 60 bots across 40+ processes, with reported annual savings of over 400,000 person-hours.
My approach is practical: start with business outcomes, establish reliable architecture, make decisions auditable, and design for real operational constraints.
Representative, high-level case studies based on professional experience. Descriptions are intentionally anonymized and exclude confidential implementation details.
Challenge: Complex fax, email and claims workflows require consistent extraction, routing and review.
Approach: Combined document classification, RAG-based retrieval, structured LLM outputs, deterministic decision rules and confidence-based human escalation.
Architecture focus: Traceability, exception handling and API-first enterprise integration.
Challenge: Document-heavy operational processes need structured information and human verification.
Approach: Contributed to integration architecture connecting AI-assisted extraction, enterprise workflows and Power Automate-based review.
Architecture focus: Modular processing, validation and auditable exceptions. Integration work is described as an ongoing initiative.
Challenge: R&D and quality teams need access to approved knowledge without sacrificing control.
Approach: Designed document-grounded retrieval and conversational workflows integrated with enterprise platforms.
Architecture focus: Approved-source grounding, authentication, auditability and GxP-aware design.
Healthcare AI intake, RAG engineering, claims decision support, PACCA AI integration and enterprise workflow orchestration.
Regulated pharmaceutical AI solutions, Copilot Studio experiences, approved-content retrieval and integration with Veeva Vault and Labware LIMS.
Enterprise automation strategy, governance and portfolio delivery. Led a multi-year roadmap and scaled the CoE across investment-management functions.
Solution architecture, delivery standards, technical team guidance and automation program planning.
Banking technology, software quality engineering, data validation and reusable automation frameworks.
Cloud architecture credential · 2023
Udemy course completion · 2026
Enterprise automation architecture credential · 2017
Education: Master’s in Data Science & Artificial Intelligence, Gannon University · Bachelor’s in Information Technology, Kongu Engineering College.
Open to conversations about enterprise AI architecture, agentic systems and technology transformation leadership.