Senior AI Security Engineer

Relativity • Illinois, IL

8d • $130,000 - $195,000 • Hybrid

About The Position

Relativity's AI Security team builds and operates a centralized AI security capability, in collaboration with stakeholders across the company, that enables teams to adopt AI safely and quickly across the lifecycle. This role involves continuously assessing and communicating AI-related risks and threats through automation, monitoring, and advisory, developing AI security standards, procedures, and guidelines, embedding AI security into engineering deliveries, and providing product teams with AI security guidance and requirements. As a Senior AI Security Engineer, you will play a hands-on role at the center of Relativity’s AI security efforts. You will lead AI security reviews, threat modeling, and tooling initiatives that ensure Relativity's growing AI ecosystem—including agentic systems, LLM integrations, and AI-assisted workflows—remains secure in a rapidly evolving environment.

Requirements

• Bachelor’s degree in Computer Science, Cybersecurity, Information Systems, or a related field, or equivalent experience
• 5+ years of commercial experience in software and/or security engineering, with strong computer science fundamentals
• 2+ years conducting product security reviews and threat modeling using frameworks such as MITRE ATT&CK / ATLAS, NIST AI RMF, or STRIDE
• 3+ years of hands-on experience with cloud platforms (Azure preferred; AWS or GCP acceptable)
• Proven ability to deliver large-scale, cross-functional projects
• Strong written and verbal communication skills with the ability to explain complex security concepts to varied audiences
• Strong analytical and problem-solving skills with a proactive, ownership-driven mindset
• Passion for helping teams adopt AI safely and championing AI security best practices
• Experience working effectively with geographically distributed teams
• Access Management
• Application Security
• Endpoint Security
• Network Security
• Penetration Testing
• Security Architecture Design
• Security Information
• Security Information and Event Management (SIEM)
• Security Operations
• Vulnerability Management

Nice To Haves

• Master’s degree in Computer Science, Cybersecurity, or a related field, or equivalent experience
• Experience in the legal or e-discovery domain and familiarity with litigation workflows
• Experience operating in a global SaaS environment
• Experience with commercial AI technologies (e.g., Copilot, ChatGPT, Gemini) and understanding of AI-specific attack vectors
• 1+ year designing or operating AI-based security capabilities and protecting autonomous AI workflows
• Proficiency in at least one modern object-oriented programming language (e.g., C#, Python, Java)
• Relevant certifications such as Microsoft Certified: Azure Security Engineer Associate (AZ-500)

Responsibilities

• Conduct hands-on AI security reviews and threat modeling using frameworks such as STRIDE, MITRE ATLAS, and NIST AI RMF
• Propose and implement safeguards for software products, tools, and infrastructure prior to production release
• Evaluate, build, configure, and modernize first- and third-party AI security tooling, scanning, automation, and agentic workflows
• Strengthen the overall security posture by hardening AI systems and leveraging AI to enhance security capabilities
• Respond to customer AI security inquiries and support audit preparation and audit activities
• Deliver clear written and verbal reports and recommendations to both technical and non-technical stakeholders
• Lead engagements and manage stakeholder relationships across distributed teams
• Stay current on AI security developments and engineering practices and share knowledge across internal teams

Benefits

• Competitive salary
• benefits
• DTO
• parental leave
• equity program
• total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives

What This Job Offers

• Job Type: Full-time
• Career Level: Senior