Senior AI Security Engineer

at Highmark Health in

Boise, Idaho, United States Job Description Company :

en

Gen Job Description :

JOB SUMMARY

This job secures AI/ML, Generative AI, and agentic systems across the enterprise by designing, testing, and operating controls that protect these systems at scale in a regulated healthcare environment. They combine hands on adversarial testing, deep understanding of LLM and agent architectures, and production security expertise to prevent, detect, and contain AI driven risk involving PHI while advising engineering and security leadership on emerging AI threats and regulatory exposure.

ESSENTIAL RESPONSIBILITIES

+ Design, implement, and operate security controls for AI/ML, GenAI, and agentic systems - spanning model-level, data-level, and platform-level protections across Azure, GCP , AWS , and SaaS. + Engineer and enforce guardrails that mitigate prompt injection, unsafe outputs, unauthorized tool execution, data leakage, and insecure agentic workflow behavior, with explicit focus on

PHI / PII

exposure. + Design and execute AI red-team exercises targeting LLMs and AI agents including prompt injection (direct and indirect), jailbreaking, tool and memory poisoning, behavioral drift, unsafe autonomy, and emergent privilege escalation. + Analyze agent logic, tool graphs, and multi-step workflows to identify systemic security weaknesses beyond prompt-level attacks; translate findings into reusable attack libraries and actionable engineering fixes. + Build and maintain monitoring, logging, and alerting for AI systems covering prompt behavior, tool invocation patterns, output anomalies, and workflow execution - and implement detection content for policy-violating AI behavior. + Embed security controls into CI/CD pipelines and agentic delivery workflows; partner with AI platform, data engineering, and application teams to integrate security requirements from design through deployment gate. + Apply

NIST AI RMF , MITRE ATLAS

, and

OWASP LLM

Top 10 to assess and manage AI security risks; contribute to enterprise AI security standards, reference architectures, and governance policy; advise leadership on AI cybersecurity risk and regulatory considerations specific to healthcare AI deployment. + Other duties as assigned or requested.

EXPERIENCE

Required + 5 years of experience in Cybersecurity engineering, application security, or platform security + 3 years of experience in AI/ML or Generative AI security (prompt injection defense, unsafe output handling, tool-use abuse, data leakage) •P To view full details and how to apply, please login or create a Job Seeker account