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Date: Jun 20, 2026
Location: Gurgaon, HR, IN, 122002
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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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