Remote AI Security Engineer - Threat Modeling & Governance

guidepointsecurity; United States; Remote; USD 120,000 - 210,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Remote work

Job summary

GuidePoint Security is seeking a regional AI Security Specialist to help clients design, secure, and operate generative AI solutions across governance, testing, and deployment. You will collaborate with cross-functional teams to provide pragmatic guidance grounded in industry frameworks.

The role requires hands-on AI security experience, threat modeling for AI workloads, and the ability to deliver engagement deliverables such as reports and risk assessments; travel up to 10% is expected.

Qualifications

• Hands-on experience securing AI systems, including LLM platforms, AI coding assistants, and agentic frameworks.
• Strong understanding of threat modeling techniques applied to AI workloads and SaaS integrations.
• Familiarity with data security and privacy controls for AI pipelines, including retrieval-augmented generation and vector databases.
• Ability to evaluate identity, access, DLP, SIEM, and runtime protection controls across AI platforms.
• Clear written and verbal communication for client-facing deliverables, architecture diagrams, and executive-level recommendations.

Responsibilities

• Conduct secure configuration reviews and security assessments of enterprise AI platforms against controls covering identity, network, data protection, retention, and audit, mapped to frameworks such as OWASP LLM Top 10 and MITRE ATLAS.
• Lead threat modeling exercises for AI workloads, covering prompt injection, model inversion, data poisoning, supply chain risks, excessive agency, and privilege escalation through tool chaining.
• Assess AI coding tools and development environments for sandbox isolation, plugin allowlisting, secrets handling, network egress controls, and CI/CD pipeline security.
• Advise client teams on securely integrating SaaS AI services and APIs, including safe handling of credentials, outputs, and user data.
• Evaluate controls for data ingestion pipelines, retrieval-augmented generation architectures, and vector databases, including zero data retention, sensitivity labeling, and encryption key management.
• Run shadow AI discovery engagements to inventory unsanctioned AI tool usage and assess exposure risk.
• Design, build, and deploy AI agent workflows and reference architectures, including integrations with security tooling and automation platforms.
• Produce engagement deliverables such as configuration review reports, findings registers, control matrices, reference architectures, and risk assessments.

Skills

AI security

Threat modeling

Data security

Identity and access controls

Communication skills

Job description

GuidePoint Security is seeking a regional AI Security Specialist to help clients design, secure, and operate generative AI solutions across governance, testing, and deployment. You will collaborate with cross-functional teams to provide pragmatic guidance grounded in industry frameworks.

The role requires hands-on AI security experience, threat modeling for AI workloads, and the ability to deliver engagement deliverables such as reports and risk assessments; travel up to 10% is expected.