About the role
Job Description Ready to Help Shape the Future of Legal Tech?! At Litera, we don’t just build software, we transform how the world’s top law firms operate. Every day, we Raise The Bar™️ for what’s possible through AI, innovation, and solutions that power millions of legal professionals worldwide. If you’re energized by scale, real impact, and meaningful challenges, you’ll feel right at home here. Where You’ll Work Hybrid: This is a hybrid role based in Denver, CO with the expectations to be in office at least 3 days a week for collaboration and connection. Why this Role Matters Litera is advancing AI across its products and internal platforms, and this role will help ensure those systems are secure, trusted, and resilient as they scale. As AI becomes more deeply embedded in our customer experiences and development workflows, the AI Security Engineer will play a critical role in protecting sensitive data, reducing emerging AI-related risks, and strengthening confidence in Litera’s AI capabilities. This role will help turn evolving AI security standards, threat intelligence, and governance expectations into practical safeguards that support innovation without compromising security. What You’ll Deliver Strengthen the security of Litera’s AI-enabled products, internal AI tools, and agentic AI infrastructure by identifying, assessing, and reducing risks across the AI lifecycle. Help Product, Engineering, GRC, IT, and Security teams make informed decisions about AI adoption, vendor use, model integrations, data handling, and acceptable use. Advance Litera’s defenses against emerging AI-specific threats, including prompt injection, jailbreaking, insecure outputs, RAG data poisoning, model abuse, data leakage, and indirect context manipulation. Improve the security of AI-integrated product surfaces, including LLM-connected applications, MCP server integrations, agent workflows, tool-call authorization boundaries, and SaaS application interconnects. Build and maintain scalable AI security controls, tooling, testing pipelines, detection logic, playbooks, and documentation that continuously validate AI system behavior against security expectations. Extend identity governance and secrets management practices to cover AI agents and non-human identities, including access scoping, credential lifecycle, inventory, deprovisioning, and audit logging. Serve as a technical security partner within Litera’s AI governance program by supporting AI impact assessments, model risk registers, secure-use policies, and control alignment with evolving AI standards. Represent Litera’s AI security posture with internal and external stakeholders by supporting customer questionnaires, enterprise security reviews, due diligence requests, audit evidence, and sales-related security discussions. We’re committed to creating an inclusive environment. If you need accommodations at any point in the process or in