Remote AI Security Engineer

GuidePoint Security LLC; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote workforce primarily (U.S. based

Medical Insurance

Dental Insurance

FTO / holidays

Phone & internet allowance

Retirement plan

Job summary

GuidePoint Security is seeking an AI Security Engineer for remote work in the United States. You will design, implement, and securely operate generative AI solutions, including governance assessments, threat modeling, and architecture reviews across enterprise platforms.

Responsibilities include advising on secure AI integration, data controls, and agentic workflows, with a focus on delivering professional client-facing artifacts and risk mitigation guidance.

Qualifications

• 3+ years of security engineering with cloud/app focus.
• Hands-on experience with enterprise AI security solutions.
• Familiarity with AI-focused cloud services (AWS, Azure, Google).
• Understanding of LLM security, prompt injection and data protection.
• Ability to produce client-facing deliverables and reports.
• Strong written and verbal communication skills.

Responsibilities

• Conduct AI security architecture reviews and assessments of enterprise AI platforms.
• Lead threat modeling for AI workloads and data protection controls.
• Evaluate AI coding tools and development environments for security risks.
• Advise on secure integration of SaaS AI services into enterprise apps.
• Develop AI security governance, matrices, and reference architectures.

Skills

Security engineering

Cloud security

Agentic AI security

LLM security concepts

Threat modeling AI systems

Client-facing deliverables

Strong communication

Tools

Claude Code

OpenAI Codex

Cursor

MCP servers

Job description

GuidePoint Security is seeking an AI Security Engineer for remote work in the United States. You will design, implement, and securely operate generative AI solutions, including governance assessments, threat modeling, and architecture reviews across enterprise platforms.

Responsibilities include advising on secure AI integration, data controls, and agentic workflows, with a focus on delivering professional client-facing artifacts and risk mitigation guidance.