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Posted 22 June, 2026

Information Security Automation Engineer

Corning
Gurgaon,HR,IN,122002 Full Time
Reference: 118_393018_1393227900

Role Purpose

We are seeking an Information Security Analyst and Automation Engineer to support and advance our security posture across data- and AI-driven initiatives. This role is ideal for a security professional early to mid-career who is eager to work at the intersection of information security, data governance, and artificial intelligence.

Key Responsibilities

  • Support the design and creation ofAI agentsthat enhance information security capabilities.
  • Create and maintainautomated agentsto handlemundane and repeatable security requests, such as:
  • Access and entitlement reviews
  • Evidence collection for audits and compliance
  • Policy guidance and security FAQs
  • Intake and triage of security questionnaires and risk assessments
  • Security documentation and reporting
  • Define and implementguardrails for AI agents, such as:
  • Role-based access controls and least-privilege permissions
  • Human-in-the-loop approvals for sensitive or high-risk actions
  • Logging, monitoring, and auditability of agent activity
  • Clear escalation paths when confidence thresholds or policy boundaries are exceeded
  • Collaborate with engineering, data, and AI teams to integrate AI agents into existing workflows
  • Mentor and hold learning sessions to ensure best practices are leveraged across Information Security.

Experiences/Education - Required

  • Bachelor's degree in information security, Computer Science, Information Systems, Data Science, Engineering, or a related field, OR equivalent proven practical experience through relevant work, internships, bootcamps, or self-directed learning
  • 1-4 yearsof experience in the following areas:
  • Information security or cybersecurity
  • Cloud engineering in AWS and Azure, data engineering, or platform operations with security exposure
  • Agile, DevOps experience
  • AI programming experience
  • Hands-on experience supporting or securing:
  • Data platforms, analytics environments, or cloud infrastructure
  • APIs, applications, or internal tooling
  • Exposure to AI, machine learning, such as using and supporting AI/ML tools and platforms, building automations or AI-assisted workflows, participating in AI or data-related projects from a security perspective

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