K E E N P R E N E U R

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Jio SecureAI Platform (JSAIP) ArchSec Enterprise - AI-native Architecture Security platform

Company: Reliance Jio

Role: Senior AI ML Analyst

Project: JSAIP ArchSec Enterprice

Team member: 17

About Project:

This project involved the technical development of an AI-native Agentic Architecture Security (ArchSec) platform within Jio SecureAI Platform (JSAIP), designed to automate and accelerate enterprise architecture security reviews. The platform leverages agentic AI to analyze application and enterprise architectures, identify security risks, generate CISO-grade findings and risk ratings, and produce executive security briefs while integrating with the ISR, assessment, remediation, & governance lifecycle autonomously.

Key Technical Works:

  • Lead the design and development of an AI-native Agentic Architecture Security platform under the Jio SecureAI Platform (JSAIP).
  • Architect and implement Agentic AI and Generative AI workflows for automated enterprise architecture security assessment and risk analysis.
  • Design multi-agent workflows using LangChain and LangGraph for architecture analysis, threat identification, security-control evaluation, and risk assessment.
  • Develop RAG pipelines integrating enterprise security knowledge, policies, standards, and architecture context to improve assessment accuracy and traceability.
  • Integrate Ollama/private LLMs for secure enterprise AI use cases while supporting LLM routing, model evaluation, prompt engineering, and fine-tuning.
  • Implement Model Context Protocol (MCP) to enable secure and standardized interaction between AI agents, tools, enterprise data, and security services.
  • Build scalable AI services and APIs using Python and FastAPI, supporting enterprise-grade security assessment workflows.
  • Design LLMOps capabilities covering model lifecycle, observability, evaluation, prompt/version management, monitoring, and production deployment.
  • Automate threat modeling, security-control analysis, risk identification, finding generation, remediation recommendations, and executive security reporting.
  • Generate CISO-grade security findings, risk ratings, and executive briefs from complex enterprise architecture designs.
  • Integrate AI capabilities across Architecture Security, Application Security, DevSecOps, IAM, PKI, risk management, and security governance.
  • Define and implement the complete security assessment lifecycle: ISR → Assessment → Findings → Remediation → Validation → Closure/Sign-off.
  • Collaborate with CISOs, security architects, AppSec/DevSecOps teams, developers, product teams, and business stakeholders to translate security requirements into scalable AI-driven solutions.
  • Lead technical design, architecture decisions, code reviews, PoCs, engineering standards, and production readiness for Agentic AI security solutions.
  • Evaluate emerging LLMs, agent frameworks, RAG architectures, vector databases, and AI security techniques for enterprise adoption.
  • Drive modernization of traditional security assessment processes through intelligent automation, Agentic AI, and enterprise GenAI.

Skill Sets:

Python, FastAPI, LangChain, LangGraph, Ollama, RAG, MCP, LLMOps, Fine-Tuning, PostgreSQL, REST APIs, Docker, Azure DevOps, CI/CD, SAST, SCA, DAST, VAPT, Threat Modeling, Architecture Security, DevSecOps, IAM, PKI, and AI Security.