Relativity
Senior AI Security Engineer
Illinois · Senior
Sponsorship not specifiedDetected 7 days ago
PythonJavaC#Object-Oriented ProgrammingAWSGCPAzureCloud PlatformsLLMsAgentic AICybersecurityPenetration TestingNetwork SecuritySIEMSOC OperationsCommunicationCollaborationProblem Solving
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.
Responsibilities
- 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
- 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
- Build systems that help customers organize data, discover the truth, and act on it in high-stakes legal matters.
- Build with AI, cloud platforms, and scalable architectures shaping legal tech.
- Diverse perspectives create stronger teams and better outcomes.
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
- Strong written and verbal communication skills with the ability to explain complex security concepts to varied audiences
- Experience working effectively with geographically distributed teams
- 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
Nice to have
- 3+ years of hands-on experience with cloud platforms (Azure preferred
- AWS or GCP acceptable)
Skills
- Posting Type
- Job Overview
- 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
Compensation
- Competitive salary, benefits, DTO, parental leave, and equity program.
- 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.
- $130,000 and $195,000
Benefits
- Competitive salary, benefits, DTO, parental leave, and equity program.
Company info
- 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.
- 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.
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