AI Security Engineer/DevsecOps

Senior Azure AI Security Engineer

• Location: Thane / Mumbai, India (Hybrid – within commuting distance of Thane office)
• Reporting To: Technical Project Manager

About Us

Quantanite is a global customer experience and digital solutions partner that blends cutting-edge AI with the human touch. Headquartered in London and operating across four continents, our 2,000-strong team helps some of the world’s fastest-growing brands scale smarter, work faster, and deliver better service—every time.

We’re not your typical outsourcing company. We believe great service is built on two things: smart tech and even smarter people. From our proprietary AI tools like MöBIUS to our collaborative, people-first culture, we give our teams the tools, training, and trust they need to make an impact.

Position Overview

We are seeking a hands-on Senior Azure AI Security Engineer to lead the end-to-end security implementation of enterprise Generative AI solutions built on Microsoft Azure. The successful candidate will own the security architecture, cloud infrastructure, and DevSecOps processes across the complete AI lifecycle. Reporting to the Technical Project Manager, you will act as a primary technical authority for securing production-grade AI models and applications, ensuring they are resilient against emerging threats.

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.

What We Offer

Comprehensive Training: Exposure to cutting-edge enterprise AI security and Azure environments.

Career Growth: High-impact leadership role with visibility across engineering and executive teams.

Collaborative Culture: A people-first environment that values innovation, diversity, and technical excellence.

Global Impact: Partner with leading global brands to secure next-generation digital solutions.

Perks and Benefits: Health Insurance and Provident Fund.

Quantanite is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.