Senior AI Security Engineer
Role details
Job location
Tech stack
Job description
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, 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., * 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
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
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), 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
Benefits & conditions
- 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.