Dwaipayan Mojumder

• Enterprise Architecture, Governance & Framework: re-architected SAP LeanIX EAM across 5,000+ applications and 8,000+ fact sheets for portfolio assessment, rationalization and modernization following an organizational spin-off - using Gartner's 6R classification and T.I.M.E. frameworks.
• Established technology lifecycle strategies and an EA KPI framework measuring architecture adherence, portfolio health, governance effectiveness, business value, cost optimization, delivery management, performance analytics and risk reduction - with automated reporting, monitoring and integrations via SAP LeanIX, SAP Signavio and SAP BTP.
• Own data quality governance across the EA meta model in SAP LeanIX EAM, enforcing EA standards for completeness, accuracy and consistency across all domains - driving architecture compliance, monitoring and remediation.
• Run formalized design reviews via ARBs, domain working groups, portfolio governance reviews and community chapters; lead EA & AI enablement through structured training, workshops, publications and stakeholder alignment to raise architecture awareness and global AI adoption.
• Agentic AI Platform & Enterprise AI Operations: defined the Enterprise AI architecture, AI platform and AI operating model; lead AI platform and AI infrastructure engineering to build secure production AI infrastructure for enterprise Generative and Agentic AI workloads.
• Implemented AI Gateways (LiteLLM / Portkey), LLM Gateways (Kong AI Gateway / Cloudflare AI Gateway) and AI control planes (TrueFoundry / Snowflake), standardizing secure access to foundation models via LLM orchestration, intelligent and semantic routing, semantic caching, LLM proxy and LLM fallback.
• Established an enterprise multi-agent architecture - AI runtime and agent runtime services, managed AI agents, agent harness, agent gateway, MCP gateway, agent registry and skills registry - enabling secure multi-agent orchestration and agent-to-agent (A2A) collaboration over Model Context Protocol (MCP).
• Established governance for agent economics, agent sprawl management (MuleSoft Agent Fabric), AI/LLM and agent observability, MCP security, AI benchmarking and LLM evaluation to improve platform security and reliability.
• Architected Responsible AI practices - AI governance, compliance, policy enforcement and an AI risk management framework - with enterprise AI security, AI access control (IAM, RBAC/ABAC, OAuth), Zero Trust AI and Shadow AI protection.
• Partner with L&D to deliver GenAI and cybersecurity training and coaching, including game-based learning systems.

• Enterprise Architecture, Governance & Transformation: implemented SAP LeanIX EAM and ServiceNow APM across 2,000+ applications for portfolio assessment, rationalization, modernization and obsolescence risk management using 6R and T.I.M.E. frameworks - eliminated 18% of redundant applications and enabled data-driven EA governance and cloud migration decisions.
• Established technology lifecycle strategies and an EA KPI framework measuring architecture adherence, portfolio health, governance effectiveness compliance, business value, cost optimization, delivery management, performance analytics and risk reduction - with automated reporting and monitoring via SAP LeanIX, SAP Signavio and ServiceNow APM.
• Deep EA tooling experience - data import via Fact Sheets / Transform Maps in SAP LeanIX EAM and ServiceNow APM, capability mapping, tech-standards alignment, and delivery of EA charters, roadmaps, application scoring and EA dashboards.
• Developed cloud migration plans and strategies with Zero-Trust security using containerization, microservices and serverless computing (AWS, GCP, Azure) to deliver a robust, cohesive future-state architecture.
• Led the AI Center of Excellence - trained 50+ architects in GenAI/ML and delivered 12 pilot projects (LMS automation, hiring process, SOW generation, travel portal, EA ARB, Chat HPE) that collectively reduced manual effort by 40%.
• Architected end-to-end GenAI solutions using fine-tuning, RAG, vector DBs, MLOps, semantic grounding, chunking, multimodal embedding, indexing and reranking - cut internal information search from ~8 minutes to ~30 seconds.
• Drove AI cost optimization through rate limiting, load balancing, session management and LLM failovers; applied context engineering, prompt management, runtime guardrails (Amazon Bedrock / Azure AI Content Safety) and prompt-injection defense across production AI services.

• Enterprise Modernization & Digital Transformation: spearheaded enterprise-wide cloud modernization and enterprise data integration for a European client's core IT system - defined target architecture and migrated legacy applications to cloud, including complex cross-platform modernization, re-platforming and migration programs: $2M annual savings and 30% acceleration in GTM.
• Owned data quality governance across the EA meta model in SAP LeanIX EAM, enforcing EA standards for completeness, accuracy and consistency across domains - drove architecture compliance, monitoring and remediation processes.
• Organized formalized design reviews via ARBs, domain working groups, portfolio governance reviews and community chapters; led EA & AI enablement through structured training, workshops, publications and stakeholder alignment to increase architecture awareness and global AI adoption.
• Directed portfolio and program governance across multiple enterprise transformation engagements - delivery alignment, risk mitigation and stakeholder communication in Oracle ERP / SAP HANA / DWH programs.
• Served as Principal Pre-Sales Enterprise/AI Architect on large deal pursuits, contributing to ~$50M in new business with differentiated architecture solutions and C-suite value presentations.
• Developed cloud migration plans and strategies with Zero-Trust security using containerization, microservices and serverless computing across AWS, GCP and Azure.
• Enterprise AI Governance & CyberSecurity: architected Responsible AI practices with AI governance, compliance, policy enforcement and an AI risk management framework - complemented by enterprise AI security, AI access control (IAM, RBAC/ABAC, OAuth), Zero Trust AI and Shadow AI protection.
• Applied context engineering, prompt management, runtime guardrails (Amazon Bedrock / Azure AI Content Safety) and prompt injection defense across production AI services; embedded Human-in-the-Loop (HITL) review and tool calling into enterprise AI workflows.
• Set enterprise standards for data residency, data sovereignty, AI interoperability, vendor lock-in prevention and AI middleware; built AI risk assessment and audit frameworks governing data usage, model training, RAG pipelines and LLM customization.
• Implemented Zero Trust Architecture (IAM, MFA, micro-segmentation) - cutting lateral threat movement by 45%; partnered with CISOs to translate cyber risk into actionable insight and mentored teams in GRC automation.
• Enforced data privacy and PII protection under GDPR (EU), DPDP (India) and CCPA (USA) across AI pipelines; governed multi-cloud AI architectures on AWS, Azure and GCP for scalability, performance and cost.
• Partnered with L&D teams to deliver GenAI and cybersecurity training and coaching, including AI-generated course material and game-based learning systems.

Project management and solution architecture for global ERP; business/technical strategy and road-mapping; ERP reporting, SAP BO, Oracle-to-SAP feasibility POCs; extensive automation reducing errors and manual effort.

Stabilized a failing vendor application with a new, highly scalable architecture supporting rapid growth; requirements-to-IT mapping; rigorous technical documentation and audit closure.

Cross-application integration for enterprise data exchange; feasibility evaluation; code supervision for critical applications with compliance and security assurance.

Development, code review and client status reporting across parallel production-support and development projects; cross-functional stakeholder coordination.