AI Security Engineer

AI Security Engineer – Litera, Denver, CO (Hybrid)

Litera is advancing AI across its products and internal platforms. The AI Security Engineer will protect sensitive data, reduce emerging AI‑related risks, and strengthen confidence in Litera’s AI capabilities. This role turns evolving AI security standards, threat intelligence, and governance expectations into practical safeguards that support innovation without compromising security.

• 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 defenses against emerging AI‑specific threats (prompt injection, jail breaking, insecure outputs, RAG data poisoning, model abuse, data leakage, 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.

• 3–6 years of cybersecurity experience, including 1–2 years focused on AI/ML security, application security, or a related combination within a cloud‑native SaaS or enterprise software environment.
• Working knowledge of LLM security risks and mitigations, including OWASP LLM Top
  10 concepts (prompt injection, insecure output handling, RAG poisoning, model denial of service, sensitive information disclosure).
• Hands‑on experience with application security fundamentals (threat modeling, SAST/DAST, API security, secrets management, secure SDLC practices, CI/CD pipeline security).
• Technical proficiency with scripting, automation, security tooling, and AI/ML‑related technologies such as Lang Chain, RAG pipelines, vector databases, Azure OpenAI, Amazon Bedrock, or similar platforms.
• Experience securing Azure and/or AWS environments, including IAM, network segmentation, containers, Kubernetes, infrastructure‑as‑code scanning, and cloud‑hosted AI workloads.
• Strong communication and analytical skills, with the ability to explain complex AI security risks to technical and non‑technical audiences and independently drive remediation.

• Bachelor’s degree in Cybersecurity, Computer Science, Information Systems, or a related field; equivalent professional experience also considered.
• Relevant certifications such as CAISP, CISSP, CEH, GPEN, or AWS/Azure Security specialties.
• Experience with AI red‑teaming, adversarial ML testing tools (Garak, PyRIT, Counter fit), AI bug bounty programs, or AI security research.
• Familiarity with AI governance frameworks and standards (ISO
  42001, NIST AI RMF, EU AI Act, SOC2 TypeII, ISO
  27001 audit support).
• Experience in B2B SaaS, legal technology, regulated professional services, enterprise customer security reviews, RFP responses, due diligence questionnaires, or security‑focused sales support.

• A team that shows up and collaborates with integrity.
• Global reach with partners around the world.
• Real opportunity for growth and career development.
• AI‑driven innovation at the intersection of legal technology and cutting‑edge AI.

Base salary range: $150,000–$178,000

USD. Final compensation will be determined based on experience, skills, education, and other relevant qualifications. Eligible for company bonus plan.

• Medical, dental, and vision coverage.
• 401(k) with company match.
• Incentive and recognition programs.
• Other benefits subject to eligibility requirements.

Litera is an equal opportunity employer and celebrates diversity. We are committed to creating an inclusive environment for all employees.