About The Position

We are seeking an experienced AI Security Engineer (GRC) to lead secure AI adoption within a HIPAA-regulated healthcare environment. This role will act as a subject matter expert at the intersection of AI and cybersecurity, focusing on vendor risk assessment, secure implementation, and governance of AI/LLM platforms.

Requirements

  • Bachelor’s degree in Cybersecurity, Computer Science, or related field
  • 7+ years of experience in Information Security
  • 2+ years of experience in AI/ML security or AI technology evaluation
  • Hands-on experience with AI tools such as Azure AI, Copilot, OpenAI/Claude APIs, or similar
  • Strong knowledge of AI/LLM security risks (prompt injection, data leakage, model attacks)
  • Experience with vendor risk assessments and security documentation
  • Understanding of frameworks: NIST AI RMF, HITRUST, OWASP (LLM Top 10)
  • Experience in HIPAA-regulated environments (Healthcare preferred)
  • Identity & Access Management (OAuth2, OIDC, SAML)
  • API and Network Security
  • AI/LLM frameworks (LangChain, AutoGen, Semantic Kernel)
  • Threat modeling (STRIDE, PASTA)
  • Cloud security (Azure preferred)
  • SIEM/SOAR and logging practices

Nice To Haves

  • Experience with AI red-teaming tools (Garak, PyRIT, PromptBench)
  • Knowledge of MITRE ATT&CK / ATLAS
  • Familiarity with EU AI Act and healthcare AI regulations
  • Experience securing AI CLIs and agentic workflows

Responsibilities

  • Conduct security assessments of AI vendors and tools prior to adoption
  • Evaluate data handling, model transparency, and compliance posture of AI platforms
  • Provide secure implementation guidance for AI tools including Copilot Studio, Azure AI, Snowflake Cortex, and LLM-based systems
  • Review and secure AI integrations such as APIs, MCP servers, agentic workflows, and CLIs
  • Enforce secure configurations, authentication standards, and least-privilege access controls
  • Perform AI threat modeling, risk assessments, and red-team exercises
  • Maintain AI risk register aligned with NIST AI RMF
  • Ensure compliance with HIPAA, HITECH, and security policies
  • Review AI architecture for data security, PHI protection, and trust boundaries
  • Support governance, security approvals, and CAB processes for AI deployments
  • Develop security policies, standards, and training for AI adoption
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