AI Security Engineer - Mid-Atlantic region (Remote in VA, MD, PA, NC, DE, NJ, or DC)
Remote · New Jersey, United States or North Carolina, United States
Job Summary
AI Security Engineer needed to design, implement, and secure AI/ML systems within GuidePoint Security's AI Security Services. Responsibilities include advising on the security posture of AI/ML workloads (LLMs, GenAI pipelines, model serving), leading threat modeling for AI systems, guiding secure integration of SaaS AI services (OpenAI, Azure OpenAI, Bedrock), implementing data security and privacy controls across ingestion pipelines and vector databases, collaborating with AI/ML engineers, IT operations, and information security teams, staying current on AI threat landscapes and regulatory developments, producing security architecture documentation and risk assessments, contributing to a strategic AI security roadmap, and delivering training and awareness content for stakeholders. Required experience includes 5+ years in security engineering with cloud/AppSec focus, hands-on AI security experience, familiarity with major cloud AI services, Python proficiency, deep knowledge of LLMs and AI risk, and strong communication skills. Preferred qualifications include relevant certifications (AWS/Azure), model fine-tuning understanding, red-teaming agentic systems, policy as code languages (Cedar, Rego), and IaC tools (Terraform, CloudFormation, OpenTofu). Additional perks mention remote work (U.S.-based), travel for certain roles, and comprehensive benefits.
Required Qualifications
- 5+ years of security engineering experience with focus on cloud security and/or AppSec
- Hands-on experience implementing, managing, securing, and supporting Agentic AI solutions within an enterprise context
- Familiarity with major cloud provider AI services (AWS Bedrock, AWS SageMaker, Azure AI Foundry, Google Vertex)
- Proficiency in Python
- Solid understanding of generative AI concepts, LLMs, context engineering, agentic tool usage, and foundational AI/ML principles
- Operational experience using agentic Coding assistants like Claude Code, Open Code, Cursor, or Codex
- Strong written and oral communication and ability to explain complex concepts
- Demonstrated experience applying security principles to AI implementations (data protection, access controls, threat modeling)
- Understanding of AI-specific security challenges (prompt injection, data poisoning, supply chain security, model extraction)
- Security documentation, risk assessments, control frameworks, and guidelines tailored to AI environments
- Ability to contribute to AI security strategy and remediation roadmaps
- Training and awareness content development for stakeholders on AI risks and secure practices
Apply with one swipe on Sorce. We auto-fill applications and apply on your behalf — no cover letters, no 40-minute forms.
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.