Swapnil Vaidya
Enterprise AI & Agentic Systems thought Leader | Driving Production GenAI Adoption | RAG & Agent Architectures
- Role
- Enterprise Account Executive at Salesforce
- Location
- Washington, DC, US
- LinkedIn followers
- 500 followers
About Swapnil Vaidya
I help large enterprises move AI from experimentation to production impact.Over the past two years, I have led enterprise adoption of agentic AI solutions, working with Fortune 500 organizations to operationalize generative AI using RAG architectures, autonomous agents, and enterprise-grade governance models.My work sits at the intersection of: • AI architecture • executive strategy • revenue transformation • enterprise change managementI specialize in translating frontier AI capabilities into measurable business outcomes, helping organizations deploy AI safely, scale adoption, and unlock new operating models.Core focus areas:• Agentic AI & multi-agent workflows• Retrieval-Augmented Generation (RAG) architectures• Enterprise AI governance & risk alignment• AI ROI and production deployment strategies• Executive AI advisory & transformationBackground across both technical architecture and enterprise revenue leadership allows me to bridge a critical gap between AI innovation and real-world enterprise execution.Interested in collaborating on enterprise AI adoption, GTM strategy, and large-scale AI transformation.
Experience
Enterprise Account Executive
Feb 2026 — Present
Led enterprise deployment and commercialization of agentic AI solutions across Fortune 500 customers • Advised CIO/CDO stakeholders on production GenAI strategy and operating models • Designed RAG-based architectures enabling secure enterprise knowledge grounding • Guided organizations from AI pilot phases to scaled operational adoption • Partnered with product and engineering teams to influence AI roadmap based on enterprise deployment patterns • Developed executive AI value frameworks linking agent automation to measurable ROI
Education
Dr BAM University, Aurangabad, MH, India
Bachelor of Computer Application, Computer Science
Government College of Engineering, Aurangabad, MH India
Master of Computer Applications (M.C.A.), Computer Science
Skills
- Datapower
- Ibm Api Management
- Apigee Edge
- Requirements Analysis
- Sdlc
- Soa
- Xml
- Unix
- Pl/Sql
- Edi
- Software Development
- Software Project Management
- Websphere Mq
- Web Services
- Gentran
- Solution Architecture
- Wtx
- Websphere
- Shell Scripting
- Enterprise Architecture
- Apigee
- Integration
- Agile Methodologies
- Javascript
- Iib
- Electronic Data Interchange (Edi)
- Service-Oriented Architecture (Soa)
- Software Development Life Cycle (Sdlc)
- Mule Esb
- Mule
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