Chandrika Kadirvel Mani

Chandrika Kadirvel Mani

AI Principal Architect, APAC @ Google

About

As an AI Principal Architect at Google Cloud (APAC), I specialize in spearheading enterprise-grade AI transformations and architecting sophisticated Agentic AI solutions. With over 19 years of experience, my focus is on high-level technical leadership guiding strategic clients across all industry domains, with a deep specialization in the BFSI sector, through complex digital transformations that deliver massive scale and measurable business ROI. I operate at the intersection of cutting-edge AI and enterprise strategy.My leadership is defined by architectural vision, cross-functional influence, and ecosystem enablement. I actively translate complex customer requirements into actionable engineering strategies, directly influencing global product roadmaps for platforms like Gemini Enterprise and Vertex AI. CORE TECHNICAL & STRATEGIC FOCUS: ► Architectural Excellence & Commercial Impact: I architect high-complexity multi-agent systems that have displaced competitors and secured landmark, multi-million dollar agreements across various industries. ► Cross-Domain Architecture & BFSI Specialization: While I drive AI adoption across diverse sectors, I bring highly specialized domain expertise to financial services. I have architected pioneering solutions like AI-driven KYC automation, RAG-based Knowledge Management systems, and multi-agentic architectures for compliance. ►Proven Enterprise Leadership: Prior to joining Google, I shaped the AI/ML enterprise architecture blueprints at Standard Chartered Bank and drove the technical delivery of critical data science solutions at DBS Bank. ► Responsible AI & Industry Governance: I am highly committed to the safe and compliant adoption of AI. I contributed as a Technical Architecture Expert to the MAS Generative AI Risk Framework for the financial sector, and I actively champion responsible AI principles and governance across enterprise deployments. ► Ecosystem Scaling & Mentorship: I am passionate about scaling technical knowledge. I authored the L300 Multi-Agent Challenge Lab, lead regional "Train the Trainer" upskilling programs, regularly present at the Google Cloud Technical Series, and mentor emerging AI talent as a Traineeship Manager for the Skills Ignition SG program.

Country

-

City

Singapore

Industry

Information Technology & Services

Skill

Context Engineering, AI Governance, Multi-agent Systems, multi Agent system , A2A, AI Agents, Gemini Enterprise, Agent Engine, ADK, Prompt Optimization, Multi Model, Agentic Framework, Responsible AI, Large Language Models (LLM), Retrieval Augmented Generation (RAG), Fine Tuning, Vertex AI, Prompt Engineering, Generative AI, Predictive Modeling

Experience

Google

AI Principal Architect, APAC

Google

LinkedIn
2024-12 - Present · 1 yr 10 mos

Singapore

Directing the architecture of scalable Multi-Agent Systems and autonomous workflows for Google Cloud’s strategic customers, leveraging the Agent Development Kit (ADK), Vertex AI Agent Engine, MCP, A2A and Gemini Enterprise to orchestrate complex, high-concurrency reasoning ecosystems.

Google

AI/ML Tech Practice Lead, SEA

Google

LinkedIn
2021-11 - 2024-12 · 3 yrs 2 mos

Singapore

Architecting the transition from predictive analytics to production-grade Machine learning, Generative AI and MLOps for strategic enterprises

Standard Chartered

Data Platform & AI/ML Architect, Data Strategy & Architecture

Standard Chartered

LinkedIn
2020-9 - 2021-11 · 1 yr 3 mos

Singapore

Architected the bank's global AI/ML platform and strategy, establishing a library of blueprint ML architecture patterns and MLOps frameworks to scale production-grade solutions across highly regulated financial services.

DBS Bank

Lead Data Scientist

DBS Bank

LinkedIn
2017-5 - 2020-9 · 3 yrs 5 mos

Singapore

Pioneered the bank’s internal AI transformation by architecting deep learning patterns for transaction surveillance and predictive optimization models for automated cash replenishment and cheque processing.

Johnson & Johnson

Advanced Analytics Specialist

Johnson & Johnson

LinkedIn
2016-9 - 2017-3 · 7 mos

Singapore

Developed Spend and Supplier analytics to optimize procurement, identify cost reductions, and improve vendor management. Built demand forecasting models and identified key correlations between pricing and market drivers.

Singapore Airlines

Data Scientist

Singapore Airlines

LinkedIn
2015-7 - 2016-3 · 9 mos

Singapore

Built predictive models to analyze customer sentiment and proactively identify passengers likely to complain about baggage delays. Developed Survey Analytics to uncover the core factors influencing customer complaints & Compliments.

Cognizant

Senior Associate - Analytics

Cognizant

LinkedIn
2010-9 - 2014-12 · 4 yrs 4 mos

Singapore

Cognizant

Associate

Cognizant

LinkedIn
2009-1 - 2010-8 · 1 yr 8 mos

India

IBM

System Engineer

IBM

LinkedIn
2007-7 - 2008-1 · 7 mos

India

Cognizant

Programmer Analyst

Cognizant

LinkedIn
2005-2 - 2007-7 · 2 yrs 6 mos

India

Education

National University of Singapore

National University of Singapore

LinkedIn

Enterprise Business Analytics

University of Madras

University of Madras

LinkedIn

Computer Science Engineering

Chandrika Kadirvel Mani's Contact Information

Email

******@***.com

Phone

(**) *** ****

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