Find The Perfect Job

All Filters


25+

1000k+


View all
Education
Apply

AI Security Engineer ×
Showing 1-1 of 1 jobs
Full Time
Part Time
0 year
0k+
Male
Female
Both
Work From Office
Work From Home
Field Job
Apply

  • 3 - 4 yrs
  • 30,000 - 35,000 / month
  • Mumbai
  • RAG pipelines AI workflows DLP SecOps AppSec GRC
    • Full Time
    graduate
    3 - 4 yrs
    30000 - 35000 / month
    4
    Stargate
    Full Time

    Working Type : Work From Office
    Job Description :
    Job description

    AI Identity, Authentication & Authorization

    • Extend identity and access principles to non‑human identities and autonomous agents.
    • Treat AI agents as first‑class identities, defining authentication, authorization, lifecycle management, and revocation.
    • Implement delegated and “on‑behalf‑of” authorization patterns to distinguish human‑initiated actions from agent‑initiated actions.
    • Apply least‑privilege and scope‑limiting controls to prevent privilege escalation in automated and multi‑agent workflows.

    Threat Modeling & Risk Reduction

    • Identify and mitigate AI‑specific risks including data leakage, prompt injection, jailbreaks, model abuse, data poisoning, model extraction, and AI supply‑chain risk.
    • Ensure appropriate security testing and validation is embedded into AI development and deployment workflows.

    Monitoring & Incident Readiness

    • Define logging, monitoring, and detection requirements for AI systems, models, and agent activity.
    • Partner with SecOps to ensure AI‑related events are observable, auditable, and actionable.
    • Support incident response and post‑incident analysis for AI‑related security events.

    Cross‑Functional Delivery

    • Work closely with IAM, SecOps, AppSec, GRC, IT engineering, AI platform teams, and business stakeholders to embed security controls where they belong.

    Data Security Engineering (Secondary – ~30%)

    Data Protection & Governance

    • Design and enhance enterprise data security controls with a focus on AI‑driven data access.
    • Implement and optimize Microsoft Purview, including data classification, sensitivity labeling, DLP, information protection, and visibility.

    AI‑Aware Data Security

    • Ensure data security controls are aligned to AI architectures, reducing risk of sensitive data exposure via prompts, agents, outputs, and downstream sharing.
    • Support secure use of enterprise data in RAG pipelines, AI workflows, and training environments.

    Multi‑Platform Data Flows

    • Contribute to data protection strategies across collaboration platforms, cloud services, and endpoints, ensuring consistent enforcement where possible.
    Powered by XEAM Ventures Private Limited