Senior AI Security Engineer

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, Relativity One, 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.

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. We 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, and provide product teams with AI security guidance and requirements.

As a Senior AI Security Engineer, you will play a hands‑on role at the centre of Relativity’s AI security efforts. You will lead AI security reviews, threat modelling, 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.

• Conduct hands‑on AI security reviews and threat modelling 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 modernise 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.

• Required:
  
  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 modelling 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.
• Preferred:
  Experience in the legal or e‑discovery domain and familiarity with litigation workflows.
• Preferred:
  Experience operating in a global SaaS environment.
• Preferred:
  Experience with commercial AI technologies (e.g., Copilot, ChatGPT, Gemini) and understanding of AI‑specific attack vectors.
• Preferred: 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…