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Principal AI Security Architect

  • Source: Naukri
  • Persistent
  • On-site
  • Bengaluru
  • Full-Time
  • Staff

Job Description

About Position:

We are seeking a highly skilled Principal AI Security Architect to lead the design and governance of security architecture across cloud, edge, on-premises, and mobile environments. This role will drive Zero Trust security strategies, secure AI and distributed systems, and establish robust identity, access management, and data protection frameworks. The ideal candidate will collaborate closely with engineering, platform, and architecture teams to build secure, scalable, and compliant AI-powered solutions while ensuring security is embedded throughout the technology lifecycle

  • Role: Principal AI Security Architect
  • Location: Pune, Bengaluru, Hyderabad
  • Experience: Between 12 to 15 Years
  • Job Type: Full Time Employment

What You’ll Do:

  • Define and govern end-to-end security architecture across device, edge, on-premises, cloud, and hybrid ecosystems.
  • Design and implement Zero Trust security architectures leveraging workload identity, PKI, mTLS, JWT, hardware-backed credentials, and trust federation.
  • Architect authentication, authorization, secrets management, credential lifecycle management, and privileged access controls.
  • Establish secure identity frameworks for users, workloads, services, applications, and AI agents.
  • Lead threat modeling activities for distributed systems, AI/ML platforms, APIs, multi-agent systems, and edge-to-cloud communications.
  • Develop security strategies for AI-powered platforms, intelligent agents, orchestration engines, APIs, plugins, tools, registries, and model interactions.
  • Define security controls for Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), and AI orchestration frameworks.
  • Conduct architecture reviews and security assessments to identify vulnerabilities, risks, and mitigation strategies.
  • Establish enterprise-wide security governance standards, design patterns, and best practices.
  • Collaborate with engineering and platform teams to integrate security controls into application and infrastructure architectures.
  • Drive implementation of secure software development lifecycle (SSDLC) practices and DevSecOps methodologies.
  • Ensure compliance with security regulations, industry standards, and enterprise governance requirements.
  • Define data protection, encryption, tokenization, and privacy strategies across AI and distributed environments.
  • Support incident response preparation, security investigations, and threat mitigation initiatives.
  • Guide security modernization initiatives across cloud-native and distributed technology platforms.
  • Provide technical leadership and mentorship to security and engineering teams.

Expertise You’ll Bring:

  • 12 to 15 years of experience in Security Architecture, Enterprise Security Engineering, Platform Security, or Cybersecurity Leadership roles.
  • Proven expertise in designing and implementing Zero Trust security architectures.
  • Strong experience with authentication, authorization, identity and access management (IAM), and federated identity solutions.
  • Deep knowledge of PKI, mTLS, JWT, certificate-based authentication, and trust federation architectures.
  • Extensive experience securing cloud-native, distributed, edge, mobile, and on-premises platforms.
  • Strong understanding of workload identity, secrets management, credential lifecycle management, and privileged access controls.
  • Experience working with trust federation frameworks such as SPIFFE/SPIRE or equivalent technologies.
  • Hands-on experience conducting threat modeling, risk assessments, architecture reviews, and security governance initiatives.
  • Strong expertise in securing APIs, microservices, distributed systems, and service-to-service communications.
  • Knowledge of AI/ML security, Generative AI security, Agentic AI, RAG architectures, and multi-agent ecosystems.
  • Experience implementing security controls for AI models, orchestration platforms, vector databases, prompts, and inference services.
  • Strong understanding of Kubernetes security, container security, cloud platform security, and infrastructure hardening.
  • Experience securing software supply chains and implementing secure development and deployment practices.
  • Knowledge of DevSecOps, vulnerability management, compliance frameworks, and security monitoring.
  • Strong leadership, stakeholder management, and communication skills.
  • Ability to influence enterprise security strategy and collaborate with engineering,…

Skills

  • aws-identity-and-access-management-iam
  • spire
  • Kubernetes

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