AI Security Engineer
New
G
GuidePoint SecurityCybersecurity
Mid-Atlantic region (Remote in VA, MD, PA, NC, DE, NJ, or DC)Full-TimeMiddle
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 and/or AppSec.
- Hands-on experience implementing, managing, and securing Agentic AI solutions.
- Familiarity with cloud service provider AI services (AWS, Azure, Google).
- Proficiency in at least one programming language (preferably Python).
- Understanding of generative AI, LLMs, and context engineering.
- Experience with Agentic Coding assistants like Claude Code, Open Code, or Cursor.
- Ability to explain complex technical concepts to non-technical audiences.
- Knowledge of data protection, access controls, and AI threat modeling.
- Understanding of AI security challenges like prompt injection and data poisoning.
Responsibilities
- Assess security posture of AI/ML systems including LLMs and GenAI pipelines.
- Lead threat modeling for AI workloads regarding adversarial inputs and supply chain risks.
- Advise on secure integration of SaaS AI services and APIs.
- Evaluate data security controls for data ingestion, RAG architectures, and vector databases.
- Bridge collaboration between business stakeholders, AI engineers, and IT operations.
- Track emerging AI security research and regulatory developments.
- Produce and maintain AI security architecture documentation and risk assessments.
- Contribute to long-term AI security strategy and remediation roadmaps.
- Deliver training on AI-specific risks and secure development practices.
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