Senior AI Engineer - Cybersecurity

Senior AI Engineer
- Cybersecurity

Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what's possible. At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines.

And so much more.

Come break through with us. Corning's businesses are ever-evolving to best serve our customers, industries, and consumers. Today, we accelerate and transform life sciences, mobile consumer electronics, optical communications, display, automotive, and solar markets. We are changing the world with:
Trusted products that accelerate drug discovery, development, and delivery to save lives Damage-resistant cover glass to enhance the devices that keep us connected Optical fiber, wireless technologies, and connectivity solutions to carry information and ideas at the speed of light Precision glass for advanced displays to deliver richer experiences Auto glass and ceramics to drive cleaner, safer, and smarter transportation Solar polysilicon, wafers, and innovative photovoltaic modules, enabling low-cost solar energy solutions

The Senior Cybersecurity AI Engineer will contribute to the ongoing evolution of the Cybersecurity Incident Response Team's automation platform and AI-enabled tooling. Working alongside data engineers and security analysts, this role focuses on expanding and modernizing the team's technical capabilities. The engineer will apply data engineering and artificial intelligence techniques to design, build, and deploy AI-powered security solutions, including intelligent agents that automate workflows, augment analyst decision-making, and introduce new operational capabilities.

Design, develop, and deploy AI agents that enhance information security and incident response capabilities. Build, maintain, and improve automated agents to handle routine, repetitive, and high-volume security requests. Collaborate closely with security engineers and incident responders to translate operational requirements into effective AI-driven automation. Continuously evaluate and refine automation to improve efficiency, reliability, and security outcomes. Work with large datasets and security data models to develop new automation capabilities and analytical features.

Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Engineering, or a related field, or equivalent practical experience gained through relevant work, internships, bootcamps, or self-directed learning. 3+ years of experience in AI/ML, data engineering, or applied analytics in a production environment. Hands-on experience building, deploying, and maintaining AI agents, including task orchestration, tool integration, and human-in-the-loop controls for automation and decision support.

Demonstrated implementation of AI/ML solutions in real-world environments, showing practical application of models, workflows, or automations. Strong software development skills, with Python preferred (other languages acceptable). Experience supporting or automating tasks across data platforms, cloud infrastructure, APIs, or applications. Ability to translate technical AI/ML concepts into practical, usable workflows for teammates or broader organizational use. Strong understanding of workflow and process automation using AI/ML tools or frameworks such as Tensor Flow, PyTorch, OpenAI, or similar platforms.

Experience working with large-scale security telemetry, including SIEM, EDR, identity, network, or cloud data sources.

Experience applying Dev Ops and MLOps practices to AI systems, including CI/CD pipelines, model versioning, automated testing, and deployment strategies in cloud or hybrid environments. Proven experience designing, deploying, and operating AI-powered solutions in production, supporting security operations or other mission-critical operational workflows. Experience integrating AI/ML models and services into existing platforms via APIs, event-driven architectures, or microservices, including retrofitting AI capabilities into established systems.

Familiarity with observability and monitoring for AI systems, including performance metrics, drift detection, and operational health monitoring. Demonstrated ability to provide technical leadership and mentorship, including reviewing designs, guiding implementation decisions, and helping teammates adopt AI/ML tools, frameworks, and best practices.

A job that shapes a life. Corning offers you the total package. Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial aspirations, and career from day one. Company-wide bonuses and long-term incentives align with key…