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
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Support the design and creation of AI agents that enhance information security capabilities.
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Create and maintain automated agents to handle mundane and repeatable security requests, such as:
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Access and entitlement reviews
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Evidence collection for audits and compliance
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Policy guidance and security FAQs
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Intake and triage of security questionnaires and risk assessments
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Security documentation and reporting
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Define and implement guardrails for AI agents, such as:
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Role-based access controls and least-privilege permissions
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Human-in-the-loop approvals for sensitive or high-risk actions
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Logging, monitoring, and auditability of agent activity
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Clear escalation paths when confidence thresholds or policy boundaries are exceeded
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Collaborate with engineering, data, and AI teams to integrate AI agents into existing workflows
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Mentor and hold learning sessions to ensure best practices are leveraged across Information Security.
Experiences/Education - Required
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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
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1–4 years of experience in the following areas:
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Information security or cybersecurity
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Cloud engineering in AWS and Azure, data engineering, or platform operations with security exposure
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Agile, DevOps experience
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AI programming experience
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Hands-on experience supporting or securing:
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Data platforms, analytics environments, or cloud infrastructure
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APIs, applications, or internal tooling
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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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