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Mumbai · Hybrid · 7-10 Yrs · Sep 28
1 views
HR Consulting · 1001 to 5000 Employees · London, United Kingdom
1 open role0 posted in 7d1 in 30d
Work-life balance 3.4Compensation & benefits 2.8Culture & values 3.4
Hiring: Engineering
What employees say
+ Salary Gets credited on time. Health Insurance with parents are covered.
− Can't develop new and meaningful skills from the processes assigned to the India Team. Worst Projects are assigned. No scope of development. Roles are good for those who dont want
More reviews on the company profile.
Job description
Hybrid
Overview
Senior Azure AI Security Engineer
Responsibilities
- 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.
- 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.
- 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
- 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).
- 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.
Benefits
- 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.
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Job application FAQ
Last updated 14 October 2026
- How do I apply for AI Security Engineer/DevsecOps at Quantanite?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Quantanite may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this AI Security Engineer/DevsecOps role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is AI Security Engineer/DevsecOps remote or on-site in Mumbai, Maharashtra?
- This listing is marked hybrid with location Mumbai, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this AI Security Engineer/DevsecOps role at Quantanite?
- This is a mid-level AI Security Engineer/DevsecOps role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.