Vignesh Janakiraman

About Vignesh Janakiraman

Results-oriented technology leader with 25+ years of experience driving innovation across AI, cloud security, and large-scale distributed systems. Currently leading efforts at Amazon to build autonomous, AI-driven security platforms that safeguard one of the world’s largest e-commerce ecosystems. My work focuses on advancing agentic AI systems that continuously detect, reason, and respond—transforming how enterprise security operates at scale. These systems leverage large language models (LLMs), stream processing, and graph-based reasoning to move from reactive defense to continuous, autonomous protection. Previously, I spent over a decade in the mobile wireless and telecommunications industry, designing distributed analytics and real-time monitoring solutions for Tier-1 providers such as AT & T and Verizon. That experience—building high-throughput, mission-critical platforms—laid the foundation for my current work in AI-driven observability and automation at global scale.I hold 30+ patents across AI, distributed systems, data classification, and security intelligence. My passion lies in bridging applied machine learning, security automation, and system design to create intelligent, self-adapting platforms that provide impactful security outcomes.Core Areas of Expertise• AI Security and Autonomous Systems• Generative AI and Large Language Models (LLMs)• Cloud Security and Cybersecurity Automation• Big Data Processing, Stream Analytics, and Distributed Architectures• Secure Systems Design, Data Privacy, and Governance• Technical Leadership and Organizational Development

Experience

1. Principal Software Engineer - Amazon Ai Security

   Amazon

   Jan 2025 — Present · Dallas-Fort Worth, TX, US

   Leading the Future of Autonomous Security and AI-Driven Automation Driving the next generation of large-scale security platforms that combine real-time detection, proactive intelligence, and agentic AI automation. Partnering with Security Researchers, Data Scientists, and Engineers across Amazon to build systems that think, adapt, and act—protecting thousands of services and petabyte-scale data autonomously.• Security Automation with AI Advancing autonomous security through AI-driven systems and agentic workflows integrated with Amazon’s security tooling and data infrastructure. Leading efforts to enable automated security reviews, pen testing and auto-remediation powered by large language models and automated reasoning frameworks. These AI systems continuously learn from context and feedback, reducing human effort while improving precision, recall, and consistency in security outcomes.

Education

• Anna University Chennai

  B.E, Computer Science

  1994 — 1998

• The University of Texas at Dallas

  MS, Computer Science

  1998 — 1999

Skills

• Agile Methodologies
• Software Engineering
• Unix
• Voice Over Ip (Voip)
• Sdn/Nfv
• Gprs
• Lte
• Utran
• Agile Project Management
• Openstack
• Heat, Tacker, Neutron, Nova
• Integration
• Umts
• Wireless Technologies
• Paas
• C++
• Tcp/Ip
• Sip
• Object Oriented Design
• Cloud Computing Iaas
• Cdma
• Software Development
• Cross-Functional Team Leadership
• Embedded Software
• Architecture
• Embedded Systems