Automation Engineer

Corning Haryana, India
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Information Security Automation Engineer

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Date: Jun 20, 2026

Location: Gurgaon, HR, IN, 122002

Company: Corning

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 of AI agents that enhance information security capabilities.

  • Create and maintain automated agents to handle mundane 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 implement guardrails 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 years of 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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