Aniket Tendulkar

Aniket Tendulkar

Enterprise Architect Senior Director, Salesforce

Plano, Texas, United States

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Aniket Tendulkar is an Enterprise Architect Senior Director specializing in enterprise architecture, AI-enabled systems, and large-scale digital transformation. He has successfully worked with Fortune 500 companies in building Enterprise Roadmaps and AI Strategies powered by Salesforce and MuleSoft for global organizations across Insurance, Telecommunications and Financial services. His work focuses on modernizing complex enterprise systems, integrating distributed applications, and building scalable digital infrastructure that supports millions of users. Aniket actively contributes to the technology community through research publications, industry speaking engagements, and mentoring emerging professionals in enterprise architecture and AI-driven platforms.

Area of Expertise

  • Finance & Banking
  • Information & Communications Technology

Topics

  • Cloud Native Artificial Intelligence
  • Digital Transformation Leadership
  • Enterprise Integration
  • Enterprise Architecture
  • Cloud Native
  • Legacy system modernisation
  • Artificial Intelligence
  • API Management
  • Middleware Integration
  • API Strategy
  • API Strategy & Management
  • Model Context Protocol (MCP)

Architecting Resilient and Secured AI-Enabled Enterprises

This session examines the architectural principles for engineering large-scale, resilient, AI-enabled, and secure enterprises. As generative AI becomes embedded in mission-critical workflows, traditional cloud modernization approaches prove insufficient. We explore AI-native architecture patterns, distributed cloud topologies, and zero-trust security frameworks that enable scalability, reliability, and governance at enterprise scale. A layered reference architecture integrates microservices, event-driven orchestration, AI inference and RAG pipelines, observability, and policy-as-code controls. Emphasis is placed on resilience engineering, including fault tolerance, multi-region deployment, model validation, drift detection, and secure DevSecOps integration, outlining a structured pathway from cloud-native to AI-native enterprises.

Agentic AI in the Enterprise: Moving from Pilots to Production

Agentic AI is rapidly moving beyond experimentation, but scaling from a successful pilot to a production deployment remains difficult. This session explores the practical challenges, requirements for enterprise-ready AI agents, connecting agents to trusted enterprise data and systems, designing appropriate human oversight, evaluating reliability and risk, and establishing governance that supports responsible scale. Attendees will leave with a pragmatic framework for moving agentic AI from proof of concept to measurable, sustainable business impact.

🎤 ACM / IEEE Austin, Texas User group Sessionize Event

January 2026 Austin, Texas, United States

Aniket Tendulkar

Enterprise Architect Senior Director, Salesforce

Plano, Texas, United States

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