Subh Chakraborty
Director, AI & Enterprise Architecture | GenAI Strategy → Production
- Role
- Enterprise Architect & Generative Ai Solution Leader at Brillio
- Location
- Hillsborough, NJ, US
- LinkedIn followers
- 500 followers
About Subh Chakraborty
Visionary Enterprise Architect with 20+ years of experience driving enterprise-wide digital transformation and Generative AI adoption across global organizations. I specialize in architecting AI-powered ecosystems that unify content, data, and customer experience — blending strategy, technology, and governance to deliver measurable business impact.At Brillio, I lead GenAI programs that include enterprise conversational AI platforms, multi-agent frameworks, and intelligent knowledge ecosystems powered by AWS Bedrock, Vertex AI, and Snowflake Cortex. My focus is on operationalizing responsible AI through evaluation frameworks, COEs, and agentic architectures that scale securely across functions.Previously, I have led large-scale commerce and CX modernization initiatives, integrating multi-cloud platforms (Salesforce, Hybris, Magento) with AI-driven personalization and automation. I’m passionate about making AI practical — transforming how enterprises discover knowledge, automate workflows, and build intelligent customer journeys.Specialties: Generative AI, Agentic AI, RAG Frameworks, Multi-Agent Orchestration, LLM Systems, AI Governance, Digital Commerce Architecture, CX Personalization, Cloud Platforms (AWS, Azure, GCP), and Enterprise Transformation.
Experience
Enterprise Architect & Generative Ai Solution Leader
Sep 2023 — Present · NJ, US
Leading Generative AI architecture, governance, and innovation initiatives across enterprise and commerce domains. Architected and operationalized an enterprise GenAI platform and knowledge ecosystem that transformed how employees access and leverage institutional knowledge — enabling faster decision-making, improved collaboration, and measurable productivity uplift across teams. Designed secure, scalable knowledge base architecture integrating diverse enterprise data sources through LLMs, RAG frameworks, and vector databases — ensuring data accuracy, traceability, and compliance with enterprise-grade governance. Led NLP analytics and platform evaluation POCs comparing native and third-party GenAI stacks (Bedrock, Snowflake Cortex, Sigma AI), helping leadership select the most cost-efficient and high-performing solution for analytics and business insights. Partnered with C-level client stakeholders (CIO, CTO, VP) to define GenAI vision, align technical architecture to strategic goals, and build executive confidence in AI adoption through workshops, roadmaps, and proof-of-value outcomes. Delivered digital commerce modernization initiatives with AI-powered product data enrichment, dynamic storytelling, and content optimization — improving discoverability, engagement, and cross-channel consistency across digital storefronts. Established AI governance and evaluation frameworks defining measurable success metrics such as accuracy, speed, hallucination rate, and content relevance — creating an enterprise model for scalable and responsible AI deployment. Developed the Agentic AI Factory — a reusable multi-agent orchestration framework that introduced adaptive reasoning, memory, and tool integration for enterprise use cases. Conceived and delivered the Agentic Commerce Framework, combining LLMs, RAG, and multi-agent systems to automate personalization, campaign orchestration, and dynamic bundling across digital channels.
Education
UC Berkeley Executive Education
Artificial Intelligence: Business Strategies and Applications, Artificial Intelligence
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