AI Security Specialist

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $105.8k - $147.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♂️ Cybersecurity / Security Engineer

👻 Ghost score 0%

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Logo of Ascension

Ascension

10,000+ employees

🏥 Healthcare

🤝 Non-profit

💰 $500M Debt on 2019-11

Healthcare • Non-profit

Ascension is a U. S. -based healthcare organization that connects patients to care across the communities it serves. The company operates hospitals and specialized care sites in multiple states (e. g. , Florida, Illinois, Indiana, Kansas), highlights location-based search for care, and promotes compassionate, community-focused services.

📋 Description

• Evaluate, implement, and operate AI security tooling across cloud and endpoint environments • Monitor AI use, investigate findings, and improve security visibility • Support investigations of AI security findings and incidents, including over-permissioned agents, sensitive data such as PHI exposure, and AI application security issues • Partner with Incident Response, engineering, and business teams to assess impact and drive remediation • Partner with AI engineering, Application Security, DevSecOps, infrastructure, and business teams throughout the AI SDLC • Review architectures, validate findings, implement data security controls, and enable secure AI development • Develop AI security guardrails, standards, technical documentation, and reusable frameworks • Assess AI applications against security frameworks such as NIST AI RMF and OWASP Top 10 for LLMs • Ensure compliance with enterprise policies, governance requirements, and applicable regulations

🎯 Requirements

• High School diploma equivalency with 2 years of cumulative experience OR Associate's degree/Bachelor's degree OR 4 years of applicable cumulative job specific experience required • 5+ years of cybersecurity experience with hands-on expertise in security investigations, incident response, application security, cloud security, or threat detection • Understanding of large language models (LLMs), AI agents, retrieval-augmented generation (RAG), AI application architectures, and common AI security risks • Familiarity with secure software development practices, AI development workflows, and CI/CD pipelines • Experience securing AI solutions in Google Cloud Platform (GCP) and/or Microsoft Azure, including platforms such as Vertex AI or Azure AI Foundry • Familiarity with AI-assisted development tools, cloud-native security controls, identity and access management, and CI/CD pipelines is preferred • CISSP or AI security-focused certifications are preferred

🏖️ Benefits

• Paid time off (PTO) • Various health insurance options & wellness plans • Retirement benefits including employer match plans • Long-term & short-term disability • Employee assistance programs (EAP) • Parental leave & adoption assistance • Tuition reimbursement • Ways to give back to your community

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