AI Security Engineer
New
Remote in VA, MD, PA, NC, DE, NJ, or DCFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonPrompt EngineeringLLMGenerative AI
Requirements
- 5+ years of experience in security engineering with focus on cloud security or AppSec.
- Hands-on experience securing Agentic AI solutions.
- Familiarity with AWS Bedrock, AWS SageMaker, Azure AI Foundry, or Google Vertex.
- Proficiency in Python.
- Understanding of generative AI concepts and LLMs.
- Operational experience with Agentic Coding assistants like Claude Code, Cursor, or Codex.
- Demonstrated experience applying security principles to AI implementations.
- Strong understanding of AI-specific security challenges such as prompt injection and data poisoning.
Responsibilities
- Advise on and assess the security posture of AI/ML systems against industry frameworks.
- Lead threat modeling exercises for AI workloads.
- Advise internal teams on securely integrating SaaS AI services and APIs.
- Recommend controls for data ingestion pipelines, RAG architectures, and vector databases.
- Serve as a security advisor bridging business, AI/ML engineers, and IT operations.
- Maintain security documentation and risk assessments.
- Contribute to long-term AI security strategy and roadmap.
- Develop and deliver AI-specific risk and security training.
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