AI Security Engineer
New
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GuidePoint SecurityCybersecurity
Mid-Atlantic region (Remote in VA, MD, PA, NC, DE, NJ, or DC)Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonGenerative AI
Requirements
- 5+ years of experience in security engineering with focus on cloud security or AppSec.
- Hands-on experience securing and supporting Agentic AI solutions in an enterprise context.
- Familiarity with cloud AI services like AWS Bedrock, AWS SageMaker, Azure AI Foundry, or Google Vertex.
- Proficiency in at least one programming language, preferably Python.
- Understanding of generative AI concepts, LLMs, and foundational AI/ML principles.
- Experience with Agentic Coding assistants like Claude Code, Open Code, Cursor, or Codex.
- Understanding of AI-specific security challenges such as prompt injection, data poisoning, and model extraction.
- Strong written and oral communication skills.
- Experience applying security principles to AI implementations, including data protection and access controls.
Responsibilities
- Advise on and assess the security posture of AI/ML systems, including LLMs, GenAI pipelines, and model serving infrastructure.
- Lead threat modeling exercises for AI workloads to mitigate adversarial inputs, prompt injection, and model inversion.
- Guide the secure integration of SaaS AI services and APIs into enterprise applications.
- Evaluate data security controls for RAG architectures and vector databases.
- Serve as a security advisor bridging business, engineering, and IT operations stakeholders.
- Continuously monitor emerging AI threat landscapes, regulatory developments, and research.
- Maintain security architecture documentation and AI control frameworks.
- Develop long-term AI security strategy and remediation roadmaps.
- Create and deliver training content on AI-specific risks and secure development practices.
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