AI Information Security Engineer

This is a fully remote position, open to applicants in Alabama, +31 more states.

📋 Description

• Document the components and data flows of the Document AI system, including prompts, context, embeddings, training data, model artifacts, outputs, and interactions with agent tools.

• Collaborate with the AI team to identify attack surfaces, trust boundaries, and privilege transitions within AI pipelines and agent workflows, while conducting structured threat modeling for AI systems during design, development, and change cycles.

• Work alongside the AI team to translate identified threats into specific, relevant security requirements and engineering tasks.

• Execute technical controls guided by established AI security frameworks, ensuring compliance with requirements and AI governance standards.

• Design, develop, and maintain automated security testing for AI systems within CI/CD pipelines, facilitating tests for prompt injection, unsafe model behavior, misconfigured access, data exposure, and agent misuse.

• Validate AI security controls during build, deployment, and change cycles, ensuring that any failures are reported promptly to engineering teams.

• Implement technical guardrails to safeguard sensitive data utilized by AI systems.

• Create and manage controls for the identification, minimization, redaction, and prevention of leakage of sensitive data.

• Implement and manage runtime safeguards for AI services and agent-based systems.

• Develop security controls that strike a balance between safety, system performance, reliability, and developer usability in the production of AI services.

• Establish and manage secure identity, secrets, and access control patterns for AI services, agents, and integrations, enforcing the principle of least privilege.

• Instrument AI systems to generate actionable logging, metrics, and traces.

⛳️ Requirements

• Over 5 years of experience in IT or cybersecurity, with a focus on engineering responsibilities.

• More than 2 years of experience securing AI/ML systems or related fields, demonstrating applicability to AI workloads.

• Proficient in security engineering principles, including authentication, authorization, logging, and monitoring.

• Familiarity with AI/ML concepts such as models, training data, inference pipelines, embeddings, and agent frameworks.

• Experience in modeling data flows, trust boundaries, and attack paths within AI systems.

• Skilled in mitigating threats including prompt injection, model poisoning, model theft, and data leakage.

• Knowledgeable in implementing controls such as input validation, output filtering, context isolation, and abuse detection.

🏝️ Benefits

• Comprehensive, low-deductible medical insurance.

• Affordable dental and vision plans.

• 5 weeks of paid time off, in addition to nearly a dozen paid holidays.

• Employer-funded retirement plan.

• Tuition reimbursement program at no cost.

• Parental leave benefits.

• Resources for mental health and wellbeing.