AI Cybersecurity Engineer

Cleveland-Cliffs

23h•Onsite

About The Position

Cleveland-Cliffs has an immediate opening for an AI Cybersecurity Engineer based in Cleveland, Ohio. This role sits within the Cybersecurity team and is focused on securing the enterprise's growing use of Artificial Intelligence (AI) across business and operational environments, including environments where cybersecurity intersects with manufacturing operations. The ideal candidate is passionate about AI security as a discipline, intellectually curious, and eager to grow alongside a seasoned security team at one of North America's largest steel producers. This is a career opportunity for someone who wants to plant their flag in one of the fastest-growing specializations in cybersecurity and build a career around it.

Requirements

Bachelor's degree in Cybersecurity, Computer Science, Information Systems, or a related field — or equivalent demonstrated knowledge
Genuine interest in AI cybersecurity as a career focus, not just as a general technology interest
Familiarity with AI/LLM security concepts including prompt injection, model abuse, data leakage, and shadow AI risk
Ability to conduct independent research, synthesize technical findings, and communicate them clearly to a security team
Strong written and verbal communication skills
Self-directed curiosity — actively following developments in the AI security space on your own
Must be able to work full-time onsite
Applicants must be legally authorized to work in the United States. Cleveland-Cliffs does not provide sponsorship for this position.

Nice To Haves

Hands-on experience working with large language models or AI platforms, including personal or academic projects
Familiarity with the OWASP LLM Top 10 or MITRE ATLAS framework
Experience developing security awareness or training content
Any relevant certifications or coursework in cybersecurity or AI/ML security (CompTIA Security+, SANS, Coursera AI security tracks, etc.)
Familiarity with enterprise productivity and collaboration platforms from a security perspective
Understanding of data loss prevention concepts and policy enforcement

Responsibilities

Own day-to-day operations and administration of AI security tooling, including prompt injection detection, data loss prevention at the AI layer, and shadow AI monitoring
Research AI security hardening guidance across enterprise AI platforms and synthesize findings into clear, actionable recommendations for the cybersecurity team
Support implementation of approved AI security controls across the environment in coordination with senior security staff
Monitor the AI threat landscape — tracking emerging attack techniques, vendor advisories, and industry frameworks such as the OWASP LLM Top 10 — and bring relevant findings to the team
Develop and deliver AI security awareness content and training for both technical and non-technical audiences across the organization
Contribute to AI governance standards, acceptable use policies, and enterprise AI risk documentation
Collaborate with IT and business stakeholders to evaluate new AI tools for security risk prior to deployment
Other duties as assigned