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AI Security Engineer – GRC
SCANAI Security Engineer focusing on AI adoption and cybersecurity compliance within healthcare. Evaluating AI vendors, guiding implementation, and managing AI-related security risks.
Tech Stack
Tools & technologiesAzureCyber Security
About the role
Key responsibilities & impact- AI Vendor & Technology Evaluation
- Secure AI Implementation Guidance for Development Teams
- AI Risk Management & Compliance
- Security Integration Reviews
- Training , Awareness & Policy
Requirements
What you’ll need- Bachelor’s degree in Cybersecurity, Computer Science, Information Systems, or a closely related field
- 7+ years of progressive experience in information security, with a minimum of 2 years focused on AI/ML security or applied AI technology evaluation
- Demonstrated hands-on experience with one or more of the following: Copilot Studio, Azure AI Foundry, Claude / Anthropic APIs, OpenAI API, GitHub Copilot, or LLM agentic frameworks (LangChain, AutoGen, Semantic Kernel)
- Experience working in a HIPAA-regulated environment; healthcare industry background strongly preferred
- Proven track record conducting vendor risk assessments and producing executive-level risk documentation
- Deep understanding of LLM attack surface: prompt injection, indirect prompt injection, system prompt extraction, and model manipulation
- Familiarity with AI red-teaming methodologies and tools (Garak, PyRIT, PromptBench)
- Knowledge of OWASP Top 10 for LLM Applications
- Ability to audit and secure Model Context Protocol (MCP) server implementations.
- Experience securing AI CLIs including credential storage, environment variable exposure, and shell integration risks
Benefits
Comp & perks- Annual employee bonus program
- Robust Wellness Program
- Generous paid-time-off (PTO)
- 11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days
- Excellent 401(k) Retirement Saving Plan with employer match
- Robust employee recognition program
- Tuition reimbursement
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI securityML securityvendor risk assessmentsexecutive-level risk documentationLLM attack surfaceprompt injectionAI red-teaming methodologiesOWASP Top 10 for LLM ApplicationsModel Context Protocol (MCP) auditingAI CLI security