AI Security Engineer: Secure AI Architectures & Guardrails

Dynanet

Elkridge, Northern (MD, KY)

Hybrid

USD 130,000 - 190,000

Full time

4 days ago

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Job summary

Dynanet in Maryland is seeking an experienced Security Architect to lead AI security across cloud and hybrid deployments. You will craft secure architectures for LLM/agent workloads, implement guardrails, and enforce enterprise policies with robust identity and data protection controls.

Responsibilities include embedding secure SDLC, aligning with NIST AI RMF, and building automation for monitoring, logging, and incident response.

Qualifications

Bachelor's degree in Computer Science, Engineering, Cybersecurity, or equivalent.
5–8+ years in application/cloud security, with 2+ years in AI/ML security.
Experience enabling enterprise AI use cases or AI agents in regulated environments.
Familiarity with Microsoft Copilot for M365 governance and Purview.
Experience with AI red teaming and building evaluation harnesses.

Responsibilities

Design secure reference architectures for AI workloads across Azure, AWS, or hybrid environments.
Implement runtime guardrails including prompt injection defenses and content filtering.
Codify enterprise policies into enforceable controls via middleware, gateways, and policy engines.
Integrate identity and access controls (Entra ID, OAuth/OIDC, RBAC/ABAC) and data protection measures.
Embed secure SDLC practices for AI, including SAST/DAST and dependency scanning.
Operationalize governance frameworks (NIST AI RMF, ISO/IEC 27001) and maintain audit trails.