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AI Security Engineer/DevsecOps

Quantanite
Mumbai, IND
Full-time
Senior · 7–8 years experience
Hybrid
Discovered 1 weeks ago
azurebashopenaipowershellpythonterraform

Full Job Posting

Key Responsibilities

  • AI Security & Architecture
  • Lead end-to-end security implementation for Generative AI projects from initial design through to production deployment.
  • Design and implement secure Azure architectures specifically tailored for AI applications.
  • Protect AI systems against specialized threats including prompt injection, jailbreaks, model inversion, and data leakage.
  • Secure RAG (Retrieval-Augmented Generation) pipelines, vector databases, AI agents, and inference endpoints.
  • Azure Cloud & Infrastructure Security
  • Configure and manage security for Azure OpenAI, Azure AI Foundry, Azure AI Search, and Azure Kubernetes Service (AKS).
  • Implement and manage Microsoft Defender for Cloud, Microsoft Sentinel, Azure Firewall, WAF, and Private Endpoints.
  • Enforce robust identity and access management using Entra ID and secure secret management via Azure Key Vault.
  • Monitor for adversarial attacks and supply-chain risks within the AI ecosystem.
  • Perform application code security reviews, penetration testing, and vulnerability assessment.
  • DevSecOps & Governance
  • Implement secure CI/CD pipelines using Azure DevOps or GitHub Actions to automate security gates.
  • Utilize Infrastructure as Code (IaC) security tools with Terraform or Bicep templates.
  • Perform regular threat modeling, vulnerability assessments, and penetration remediation.
  • Collaborate with AI Engineers and DevOps teams to embed security standards throughout the SDLC.
  • Conduct continuous security monitoring and provide detailed reports on system integrity.

Qualifications

  • Essential
  • Experience: 7-8 years in Security Engineering, DevSecOps, or Cloud Security, with at least 2 years specifically focused on securing enterprise Generative AI applications.
  • Technical Expertise: Advanced hands-on experience with Azure OpenAI, Azure AI Foundry, AKS, and Azure DevOps.
  • Security Tools: Proven proficiency with Entra ID, Defender for Cloud, Sentinel, WAF, NSGs, and Private Link.
  • Frameworks: Strong understanding of OWASP Top 10, OWASP LLM Top 10, MITRE ATLAS, and NIST AI RMF.
  • Automation: Proficiency in scripting using Python, PowerShell, or Bash, and experience with Terraform or Bicep.
  • Attributes: Proven ability to independently design and manage security across complex cloud infrastructures.
  • Security: Perform application code security reviews, penetration testing, and vulnerability assessment to identify, prioritize, and remediate security risks throughout the software development lifecycle (SDLC).
  • Preferred
  • Certifications: AZ-500 (Azure Security Engineer), AI-102 (Azure AI Engineer), SC-200, SC-300, CISSP, CKS, or CEH.
  • Industry Experience: Prior experience in a BPO, Enterprise IT, or global service environment.
  • 7-8 years in Security Engineering, DevSecOps, or Cloud Security, with at least 2 years specifically focused on securing enterprise Generative AI applications.

Preferred Qualifications

  • Preferred

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