Senior AI Security Engineer

Relativity; Springfield (IL); Hybrid; USD 130,000 - 195,000; Full time

Benefits offered by this job

DTO (tbd)

Parental leave

Equity program

Job summary

Relativity is seeking a Senior AI Security Engineer to lead hands-on AI security reviews, threat modeling, and tooling initiatives across its AI ecosystem, including agentic systems and LLM integrations.

The role requires 5+ years in software/security engineering, strong cloud experience (Azure preferred), and the ability to drive secure engineering practices across distributed teams. A Master’s degree is preferred plus experience in the legal tech space.

Qualifications

• Bachelor's degree in Computer Science, Cybersecurity, Information Systems, or related field, or equivalent experience.
• 5+ years of commercial software or security engineering experience.
• 2+ years conducting product security reviews and threat modeling using MITRE ATT&CK/ATLAS, NIST AI RMF, or STRIDE.
• 3+ years hands-on experience with cloud platforms (Azure preferred; AWS/GCP acceptable).
• Proven ability to deliver large-scale, cross-functional projects.
• Strong written and verbal communication skills for varied audiences.

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 AI security tooling, scanning, automation, and agentic workflows.
• Strengthen security posture by hardening AI systems and leveraging AI to enhance security capabilities.
• Respond to customer AI security inquiries and support audit preparation and activities.
• Deliver clear reports and recommendations to technical and non-technical stakeholders.
• Lead engagements and manage stakeholder relationships across distributed teams.
• Stay current on AI security developments and share knowledge across teams.

Skills

5+ years experience

Threat modeling

Cloud platforms

Communication skills

Analytical skills

Distributed teams

Education

Bachelor's degree in CS/Cybersecurity/Info Systems

Master's degree (preferred)

Tools

MITRE ATT&CK/ATLAS

STRIDE

NIST AI RMF

Job description

Posting Type

Hybrid

Job Overview

Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy and trust are crucial. The world’s largest law firms, corporations, and government agencies rely on Relativity’s legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we are committed to expanding access to technology and supporting pro bono legal work.

What We Do

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. Continuously assess and communicate AI-related risks and threats through automation, monitoring, and advisory. Develop AI security standards, procedures, and guidelines. Embed AI security into engineering deliveries. Provide product teams with AI security guidance and requirements.

About the Role

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.

Job Description and Requirements

What You’ll Do

• 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

What We’re Looking For

• 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
• Preferred 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)

Why We Could Be A Great Fit

Impactful Mission

Build systems that help customers organize data, discover the truth, and act on it in high-stakes legal matters.

Engineering at Scale

Work on distributed, cloud-native systems that process large volumes of data.

Cutting-Edge Technology

Build with AI, cloud platforms, and scalable architectures shaping legal tech.

Growth and Ownership

Gain experience owning systems end-to-end across cloud and distributed environments.

Collaborative Culture

Work in a team focused on knowledge sharing and continuous improvement.

Inclusive Environment

Diverse perspectives create stronger teams and better outcomes.

Compensation and Benefits

Competitive salary, benefits, DTO, parental leave, and equity program.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values: $130,000 and $195,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills

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