Job Descriptions : Location :
Mumbai / Bangalore
Experience : 3+ years
Key Responsibilities
AI Security (Primary)
Design and implement security controls across AI model training, inference, and deployment.
Assess and mitigate risks such as adversarial attacks, model poisoning, data leakage, and prompt injection.
Partner with AI engineering and data teams to embed secure practices and manage security deliverables.
Evaluate third-party AI services for compliance with enterprise security and privacy standards.
Monitor and resolve misconfigurations, vulnerabilities, and compliance gaps using cloud native tools.
Develop threat models and mitigation strategies for generative AI and LLM based applications.
Lead AI governance and risk programs, ensuring projects meet defined milestones and outcomes.
Cloud Security (Secondary)
Deploy and manage CNAPP solutions (e.g., Wiz, Prisma Cloud) across AWS, Azure, and GCP.
Conduct cloud risk assessments, track remediation, and report progress to leadership.
Monitor and resolve misconfigurations, vulnerabilities, and compliance gaps.
Secure CI / CD pipelines using DevSecOps practices, managing integration projects with development teams.
Implement runtime protection for serverless, container, and microservices workloads.
Support audits and compliance initiatives, ensuring timely delivery of security projects.
Contribute to audits, compliance checks, and documentation for AI and cloud security programs.
Preferred Skills & Qualifications
Strong knowledge of the AI lifecycle and associated security risks.
Hands-on expertise in cybersecurity automation, Python, Power Shel and scripting.
Experience with CNAPP, SIEM / SOAR, and cloud native security tools.
Familiarity with AWS, Azure, and GCP.
Certifications such as
CCSP, AWS, Azure, GCP, Security Specialty, or AI security credentials
(preferred).
Proven ability to manage complex security projects and lead cross functional teams.
Assist in building playbooks for automated incident detection and remediation.
Cloud Architect • India