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Security Architect - AI-Powered Security Engineering

Meesho· Tech – Infrastructure
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BangaloreFull Time EmployeePosted 3mo ago

About the role

Security Architect (Individual Contributor) to guide AI-powered security engineering efforts, bridging DevSecOps, infrastructure security, and AI security across Meesho’s AI-native, Zero-Trust environment.

Responsibilities

  • Lead AI Security Architecture: Drive the technical roadmap and high-level design to continuously prevent, detect, and autonomously contain threats across our systems and AI agents.
  • Hands-on Prototyping & POCs: Build proof-of-concepts for autonomous agent harnesses that automatically detect, analyze, and mitigate security vulnerabilities in real-time.
  • AI SDLC Optimization: Architect non-bypassable security guardrails across the SDLC for both developers and AI coding agents to ensure production systems are secured by default.
  • Red Teaming & Adversarial Validation: Proactively execute adversarial testing by simulating real attack scenarios across APIs, AI systems, and infrastructure to validate defense mechanisms.
  • Protect AI Systems: Design deep technical defenses to protect all AI agents and experimental features from prompt injection, system misuse, manipulation, and unauthorized actions.
  • Zero-Trust Governance: Architect a Zero Trust Identity Control Plane that eliminates implicit trust, ensuring access for both humans and autonomous agents is time-bound, least-privileged, and continuously verified.
  • Technical Leadership & Influence: Act as a security expert and IC leader, mentor engineers, provide architectural guidance, and partner with ML, DevOps, and Platform teams to evangelize secure coding practices.

Qualifications

  • 10+ years of hands-on technical experience across security areas including infrastructure security, product security, system design, and DevSecOps.
  • AI/ML Security Expertise: Experience using coding agents and LLMs for security workflows, Red Teaming GenAI models, and defenses against jailbreaking, adversarial ML, and model hallucination risks.
  • DevSecOps & Cloud Mastery: Proficiency with AWS or GCP security tools, Docker, and containerization technologies.
  • Technical Proficiency: Programming in Java, Node.js, and Python; hands-on experience securing production code, building security tooling, and performing manual source code reviews.
  • Strategic Vision & Threat Modeling: Ability to architect secure-by-default platform capabilities and perform advanced threat modeling for AI-native and distributed architectures.

Skills

Required:AI security strategyDevSecOpsCloud platforms (AWS/GCP)Programming (Java, Node.js, Python)

Benefits

  • Not specified in the description
Last updated Oct 21, 2026. Interested? Apply on the company site.
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