AI Security Engineer - Mid-Atlantic region (Remote in VA, MD, PA, NC, DE, NJ, or DC)
Core
Design, implement, and secure generative AI solutions (LLMs, Agentic AI) for enterprise clients, focusing on threat modeling, secure integration, and risk assessment.
Role type
Mid-level AI Security Engineer
Builds
Secure AI/ML architectures, threat models, and security guidelines for enterprise applications
Domain
Cybersecurity / Generative AI / Cloud Security
Deliverable
client delivery
Required skills
Cloud security engineering, AppSec, Agentic AI implementation, LLM security, Python programming, Threat modeling, Data privacy controls, Security architecture
Preferred skills
Model fine-tuning, Red teaming, Policy as code (Cedar/Rego), Infrastructure as Code (Terraform/CloudFormation), MCP architecture knowledge
Technologies
AWS Bedrock, AWS SageMaker, Azure AI Foundry, Google Vertex, Python, OpenAI, Azure OpenAI, Bedrock, Claude Code, Cursor, Codex
Responsibilities
Assess security posture of AI/ML systems and LLM pipelines; Lead threat modeling for adversarial inputs and data poisoning; Advise on secure integration of SaaS AI services; Evaluate data security controls for RAG and vector databases; Develop security documentation and roadmaps; Deliver training on AI-specific risks
Seniority
Mid-level, hands-on IC
