Kcura
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.
This listing is sourced directly from Kcura's careers page and normalized into a canonical job model.