Information Security Automation Engineer

Role Purpose

Odds are that the email you read this morning travelled over Corning Optical Fiber; the smartphone you used had a Corning cover glass; and the vehicle you took to work had cleaner emissions because of a Corning catalytic substrate.  Corning is one of the world’s leading innovators in materials science. For nearly 170 years, Corning has applied its unparalleled expertise in specialty glass, ceramics, and optical physics to develop products that have created new industries and transformed people’s lives. 

Data, automation and advanced analytics technologies are drastically transforming industrial manufacturers beyond point process automation to systemic, highly contextualized and data driven systems.   Corning is building the foundational digital infrastructure for these company-wide efforts, and are looking for passionate, hard-working, and talented staff-level software engineers that will design that foundation for reuse, velocity and scale. 

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. 
• Test and validate AI-driven security tools to ensure accuracy, reliability, and ethical use
• Participate in security reviews for new data and AI initiatives
• Define key performance indicators to measure the effectiveness of AI agent automation 

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 
•  2 - 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